Platform Engineer Jobs

Sentinel Blue is looking for a Platform Engineer to join our Platforms Team. This role is ideal for someone who enjoys building scalable, reliable, and secure technical platforms that enable teams to deliver services efficiently and consistently. Our ideal candidate is a strong systems thinker who can design and automate infrastructure, reduce operational friction, and embed security and compliance into platform capabilities. This role will support our internal teams by developing and maintaining shared infrastructure, automation, and tooling that underpin service delivery. This is a full-time position that is fully remote. This position may require access to technology, technical data, or information that is subject to U.S. export control laws and regulations. Employment in this position is contingent upon either verification of U.S. person status as defined under applicable export control regulations (which includes U.S. citizens, lawful permanent residents, and certain protected individuals such as refugees and asylees) or the ability to obtain any required export authorization. The company reserves the right not to apply for an export license and to decline to proceed with any applicant on that basis. All qualified applicants will receive consideration for employment without regard to citizenship status, national origin, or immigration status. A day in the Platform Engineer role: The Platform Engineer may design and build cloud foundations, develop infrastructure-as-code templates, improve CICD pipelines, and automate system provisioning and configuration. They will focus on creating reliable, reusable platform components that support secure application deployment, system operations, and compliance requirements. The Platform Engineer will work closely with Operations teams to ensure platform services are resilient, observable, and aligned with frameworks such as CMMC and NIST 800-171. They will participate in design discussions, contribute to technical standards, and continuously improve platform reliability and developer experience. The role provides opportunities to work with modern cloud tooling, automation frameworks, and observability stacks, while growing into senior technical or architectural leadership roles. Responsibilities: Design, build, and maintain shared platform services that support secure and scalable infrastructure across client and internal environments. Develop and maintain infrastructure-as-code (IaC) using tools such as Terraform, ARM/Bicep, or similar frameworks. Build automation for system provisioning, configuration management, patching, and lifecycle operations. Support and improve CICD pipelines, deployment workflows, and platform integrations. Implement platform-level security controls, including identity integration, logging, monitoring, encryption, and segmentation. Collaborate with Security Operations and Compliance teams to embed compliance and audit-readiness into platform designs. Monitor platform health and reliability, supporting incident response, root cause analysis, and continuous improvement efforts. Communicate platform designs, changes, and operational guidance clearly to internal teams and clients. Contribute to platform documentation, standards, runbooks, and architectural diagrams. Identify opportunities to reduce manual effort, improve consistency, and enhance developer and operator experience through automation. What We Can Offer: Sentinel Blue is a young company with a focused mission: We’re bringing enterprise-class cybersecurity to small and medium sized businesses. Frankly, we’re pushing the envelope of how things are done and constantly seeking innovative ways to meet that mission. The pace is fast, and we’re always learning new things. This is a great place if you want to expose yourself to new and emerging technologies, want to be challenged, and want to build your skills. Further, success in this role can quickly transition into senior engineering, platform leadership, or architectural roles. The right person will find themselves in a fun, dynamic environment, working on interesting problems and making a real difference. You will be required to achieve a Security+ certification in the first 2 months of hire; we’ll cover your certification costs and provide paid time for you to study! Requirements: 2+ years of experience in platform engineering, infrastructure engineering, DevOps, systems engineering, or related technical roles. Hands-on experience building and operating cloud infrastructure in Azure. Practical experience with infrastructure-as-code, automation, configuration management, and change control systems. Strong understanding of system security concepts such as IAM, least privilege, logging and monitoring, encryption, network segmentation, and backup/recovery. Experience supporting platforms or systems aligned with security or compliance frameworks such as CMMC or NIST 800-171. Proficiency with at least one scripting or programming language. Demonstrated ability to design reliable systems, troubleshoot complex issues, and implement scalable solutions. Strong written and verbal communication skills, including the ability to explain platform concepts to non-platform stakeholders. CompTIA Security+ certification is required in the first 6 months of hire. Desired Qualifications: Experience working in a multi-tenant or managed services environment. Familiarity with Azure Government and Office 365 GCC High environments. Experience with CICD platforms, containerization, or orchestration technologies. Exposure to observability tools such as logging platforms, metrics, and alerting systems. Working knowledge of a security and compliance framework such as NIST 800-53, FedRAMP, NIST 800-171, CMMC, CIS Controls, ISO 27001, or SOC 2. Experience designing platforms that support self-service workflows and reduce operational toil. Strong interest in cloud-first and automation-driven architecture. Bachelor’s degree in Computer Science, Information Systems, Cybersecurity, or equivalent work experience. Benefits: Fully paid individual healthcare, vision and dental insurance for the employee. Paid certification and training opportunities. Three weeks of paid vacation + 10 paid holidays. A supportive environment with a focus on keeping healthy work-life balance. Retirement benefit (401k) with company match. Salary: $120,000 – $160,000 / year Originally posted on Himalayas

Platform Engineer

Merck & Co.

CZE, Central Bohemian, Prague Five, US

Job Description As a Platform Engineer you will design, deploy, and maintain predominantly data platforms. This role involves both creative and analytical skills to solve complex problems and create efficient, reliable solutions. You will use your expertise in requirements analysis, programming languages, development methodologies, and tools to build and deliver platforms that meet the needs of businesses, organizations, or end-users. You will work with other engineers, product managers and technical leads, you will help to design systems, determine functional and non-functional needs requirements and implement them accordingly. You should be ready to work independently as well as in a team. What will you do in this role Participate in defining the platform standards. Author, review, and maintain Terraform modules and state management for multi‑account/multi‑environment deployments. Implement reusable and repeatable environment provisioning and configuration Create and maintain clear documentation: platform design, Infrastructure as Code patterns, operational runbooks, best practices regarding coding, security and compliance. Develop, verify, test, document, amend and refactor CI/CD pipelines and the platform configurations for deployment in collaboration with cross-disciplinary teams. Integrate platform with data governance tooling (catalogs, lineage, access controls). Utilize system life cycle working practices for platform components delivery. Deploy automation to achieve well-engineered and secure outcome. Contribute to the development of solution architectures in specific business, infrastructure or functional areas. Participate in evaluation of alternative solutions and approaches to the current architecture and the trade-offs in cost, performance and scalability. Work within a matrix organizational structure, reporting to both the functional manager and the Product manager. Participate in planning, execution, and delivery of the platform ensuring alignment with both functional, product and company goals. What should you have Bachelors’ degree in Information Technology, Computer Science or any Technology stream. 4+ years of hands-on experience working with IaC Terraform, SQL and databases, Analytics platforms, DevOps tools and REST API. Very good Cloud knowledge, ideally AWS certified with good understanding of AWS core service like EC2, EKS, S3, RDS, VPC networking, Security Groups, subnets, IAM roles/policies, Route 53, Transit Gateways, Load Balancing, Lambda, KMS. Deep knowledge of DevOps tools and practices (like GitHub, GitHub Actions) for code versioning and deployment. Familiarity with modern product development principles – Agile, test driven development, UX, design thinking. Familiarity with development practices such as infrastructure observability, continuous integration/continuous deployment - CI/CD, containerization. Proficiency with other programming languages (Scala, R, Java) is a nice to have. Any experience with networking principles is also welcomed. Experience with Trino, Databricks, Redshift, Grafana is a huge benefit. What we offer Exciting work in a great team, global projects, international environment Opportunity to learn and grow professionally within the company globally Hybrid working model, flexible role pattern Competitive salary & incentive pay Pension and health insurance contributions Internal reward system and referral scheme 5 weeks annual leave, 5 sick days, 15 days of certified sick leave paid above statutory requirements annually, 40 paid hours annually for volunteering activities, 12 weeks of parental contribution Cafeteria for tax free benefits according to your choice (meal vouchers, sport, culture, health, travel, etc.), Multisport Card Vodafone, Raiffeisen Bank, Foodora, and discount programmes Up-to-date laptop and iPhone Parking in the garage, showers, refreshments, massage chairs, library, music corner Ready to take up the challenge? Apply now! Know anybody who might be interested? Refer this job! Required Skills: Agile Scrum Development, Amazon Web Services (AWS), Data Engineering, Platform Development, Platform Management, Product Architecture, Software Development, Solution Architecture, Testing Preferred Skills: Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status: Regular Relocation: VISA Sponsorship: Travel Requirements: Flexible Work Arrangements: Hybrid Shift: Valid Driving License: Hazardous Material(s): Job Posting End Date: 09/19/2026 *A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Global pharmaceutical company known for oncology, vaccines, and infectious disease treatments. Headquartered in Rahway, NJ. merck.com

Platform Engineer

inKind

United States

Job Title: Platform Engineer Reports to: Director of Engineering About the role: The Platform Engineer at inKind is responsible for helping build, evolve, and operate our cloud infrastructure as the foundation of a growing financial and hospitality technology platform. This role helps ensure that our systems are secure, reliable, observable, and capable of scaling as both traffic and organizational complexity increase. This is a technical, hands-on role with meaningful ownership. You will help design, implement, and operate our AWS infrastructure; contribute to decisions about how our platform should evolve; and support those decisions through implementation, migration, and steady-state operation. As the platform changes—new AWS services, runtime upgrades, architecture shifts—you’ll help evaluate, implement, and operate those changes safely. You’ll work closely with application engineers and other members of the platform team, with a focus on the platform itself: compute, networking, data stores, deployment workflows, observability, and operational correctness. In a small but growing team, you’ll contribute to how infrastructure is designed, changed, and trusted. Who you are Infrastructure Owner: You take responsibility for the systems you work on in production and care about their behavior over time Systems Thinker: You understand how compute, storage, networking, and application behavior interact under real load Pragmatic Operator: You understand the importance of balancing modernization with stability and operational simplicity Thoughtful Problem Solver: You can evaluate infrastructure tradeoffs (EKS vs ECS, Redis vs Valkey, EC2 vs Fargate) and contribute to making and implementing the right decisions Operationally Grounded: You have experience running systems in production, responding to incidents, and learning from failures Security-Aware: You understand principles such as least privilege, network isolation, and secure defaults Clear Communicator: You can explain infrastructure decisions, tradeoffs, and risks clearly to other engineers and stakeholders Role Responsibilities Platform & Cloud Infrastructure Help build, operate, and evolve our AWS infrastructure across compute, networking, storage, and managed services Design and maintain infrastructure that supports high availability, predictable performance, and financial correctness Contribute to platform-level architectural decisions, including service migrations and runtime changes (e.g., Redis → Valkey, EKS → ECS/Fargate) Help ensure infrastructure choices align with reliability, cost, and operational simplicity—not just trend adoption Deployment, Reliability & Operations Build and maintain deployment pipelines that are safe, repeatable, and observable Contribute to system reliability through capacity planning, failure modeling, and controlled change management Participate in incident response and root-cause analysis for infrastructure-level failures Participate in on-call rotations and help continuously improve operational ergonomics Observability, Security & Governance Build and maintain strong observability across infrastructure and services (metrics, logs, tracing, alerting) Help ensure secure configuration of AWS resources, IAM policies, secrets management, and network boundaries Identify infrastructure risks related to scale, cost, or security and partner with the team to address them before they become incidents Technical Collaboration Partner closely with application engineers to ensure platform constraints and capabilities are well understood Implement infrastructure changes hands-on, working independently and alongside other engineers Contribute to standards and best practices for infrastructure, deployment, and operations as the team grows Share knowledge with other engineers and contribute to improving the overall operational maturity of the organization Minimum Qualifications 4+ years of experience building and operating production infrastructure in cloud environments Hands-on experience with AWS core services (EC2, ECS/EKS, VPC, IAM, RDS, ElastiCache, ALB/NLB, CloudWatch, etc.) Understanding of containerized workloads and orchestration concepts Experience supporting systems designed for high availability, fault tolerance, and controlled failure Hands-on experience with infrastructure as code (Terraform, CloudFormation, or equivalent) Experience contributing to infrastructure migrations and production changes Experience debugging production incidents involving networking, scaling, or service degradation Preferred Qualification Experience operating infrastructure for financial systems or other high-reliability domains Experience working with infrastructure through periods of growth or increasing complexity Familiarity with observability and strong operational practices Experience simplifying, retiring, or rearchitecting existing infrastructure Comfort working closely with a Rails-based application stack while remaining tool-agnostic Some Of Our Benefits: Generous PTO and company holiday policy + company paid Short Term Disability 100% employer covered health and dental insurance for our direct employees (a set plan is covered, with higher tier healthcare coverage available at employee’s additional cost; dependent coverage is at employee’s cost); vision plan available at employee’s additional cost Child Care Benefits and generous parental leave Salary: $150,000 - $170,000, DOE + Benefits Who we are:inKind connects passionate diners with exceptional restaurants across the country. inKind partners with thousands of restaurants and has millions of users who want to discover great places, dine confidently, and earn meaningful rewards. Through the inKind app, guests earn 20% back every time they dine, turning everyday meals into something more rewarding. From celebrated restaurant groups like José Andres and Michael Mina to beloved neighborhood favorites, inKind helps diners explore the best restaurants in town while supporting the restaurants and chefs who shape how their cities eat. Rooted in hospitality and built on a win-win philosophy, inKind exists to help great restaurants thrive while inspiring guests to dine out more often. Every meal creates value on both sides of the table, empowering diners to savor more while strengthening the restaurant community. Who we are:inKind connects passionate diners with exceptional restaurants across the country. inKind partners with thousands of restaurants and has millions of users who want to discover great places, dine confidently, and earn meaningful rewards. Through the inKind app, guests earn 20% back every time they dine, turning everyday meals into something more rewarding. From celebrated restaurant groups like José Andres and Michael Mina to beloved neighborhood favorites, inKind helps diners explore the best restaurants in town while supporting the restaurants and chefs who shape how their cities eat. Rooted in hospitality and built on a win-win philosophy, inKind exists to help great restaurants thrive while inspiring guests to dine out more often. Every meal creates value on both sides of the table, empowering diners to savor more while strengthening the restaurant community. inKind is an Equal Opportunity Employer. We believe that diversity is vital to inKind's ability to provide our clients with the best recommendations and are committed to fostering a varied and inclusive work environment. Your race, color, ancestry, religion, gender, gender identity, national origin, sexual orientation, age, marital status, disability status, veteran status, or any other protected category have no bearing on our hiring decisions. By submitting this application, you acknowledge that inKind Cards, Inc. may share the information you provide with trusted third-party service providers, including fraud detection and application processing partners, to evaluate your application and ensure the integrity of our hiring process. Your information will be handled in accordance with our Privacy Policy. For California residents and others with applicable rights, please review our privacy notice for information about your rights regarding your personal data. Originally posted on Himalayas

Platform Engineer

Javen Technologies, Inc

Cincinnati, OH

If you are interested in below position, please send your resume Job Title: Platform Engineer Adaptiv (Market Risk Systems) Location : Cincinnati, OH Duration : Long term Job Description Platform Engineer Adaptiv (Market Risk Systems) Role: Support and maintain the Adaptiv market risk platform, ensuring stability, reliability, and smooth production operations. Work with Risk, Quant, Data, and Infrastructure teams to troubleshoot issues, maintain environments, automate processes, and improve pl

Platform Engineer

Logistics Management Institute

United States

Overview LMI is seeking a Platform Engineer to design, deploy, operate, and sustain secure cloud-native platform capabilities for a Department of War mission partner. This remote role will focus on Amazon Web Services (AWS)-hosted Kubernetes environments that connect to and operate within the Department of Defense Information Network (DODIN). The Platform Engineer will support platform architecture, infrastructure automation, container orchestration, application onboarding, cybersecurity compliance, observability, troubleshooting, and continuous service improvement. The ideal candidate is a hands-on engineer who can translate mission and application requirements into reliable, repeatable, secure, and supportable platform services. LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed. Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors, helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value. This is a remote position within the continental United States and requires an active Secret security clearance. The employee must be available during core working hours aligned to the mission partner and may be required to travel periodically to government or LMI locations for integration, testing, maintenance, or mission support. Responsibilities Design, deploy, configure, operate, and sustain AWS-based platform services supporting mission-critical Department of War applications and workloads. Administer Kubernetes clusters and supporting services, including cluster configuration, node groups, namespaces, role-based access control, ingress, service discovery, storage, secrets management, network policies, autoscaling, upgrades, and lifecycle maintenance. Build and maintain repeatable infrastructure and platform configurations using infrastructure-as-code tools such as Terraform, AWS CloudFormation, or equivalent customer-approved technologies. Develop, maintain, and improve continuous integration and continuous delivery pipelines, GitOps workflows, container registries, artifact repositories, automated testing, and deployment controls. Onboard, configure, deploy, and sustain containerized applications across development, test, staging, and production environments. Integrate platform services with DODIN network services, identity and access management, public key infrastructure, logging, monitoring, vulnerability management, endpoint security, and other government enterprise services. Implement and maintain secure platform configurations aligned with approved security baselines, Defense Information Systems Agency Security Technical Implementation Guides, Risk Management Framework requirements, and Authority to Operate conditions. Monitor platform availability, performance, capacity, security posture, and application health using AWS-native and customer-approved observability tools. Troubleshoot complex issues involving Linux, containers, Kubernetes, AWS services, networking, Domain Name System, certificates, encryption, load balancing, storage, compute, identity, and application dependencies. Perform platform patching, vulnerability remediation, configuration management, backup, recovery, and controlled upgrade activities while minimizing mission disruption. Collaborate with cybersecurity, network, software, data, systems engineering, and mission teams to resolve dependencies and deliver integrated capabilities. Develop and maintain platform architecture documentation, configuration standards, operating procedures, runbooks, troubleshooting guides, deployment instructions, and knowledge articles. Support technical interchange meetings, architecture reviews, release planning, change control, incident response, root-cause analysis, and after-action reviews. Provide clear status reporting on platform health, technical risk, security findings, maintenance activities, dependencies, and recommended actions. Participate in scheduled maintenance and time-sensitive incident response outside normal working hours when required by mission needs. Qualifications Required Qualifications: Active Secret security clearance. Minimum of five years of directly relevant professional experience in platform engineering, cloud engineering, DevSecOps, systems engineering, Linux systems administration, or a closely related technical field. Demonstrated hands-on experience operating, integrating, or sustaining systems connected to the DODIN, including familiarity with Department of Defense network access, security, configuration, and operational requirements. Current Department of Defense 8570-compliant certification appropriate to the assigned information assurance or cybersecurity workforce functions. Demonstrated hands-on experience deploying, administering, troubleshooting, and upgrading Kubernetes environments. Demonstrated hands-on experience with AWS infrastructure and services, including compute, networking, storage, identity, security, monitoring, and automation capabilities. Experience administering Linux-based systems and troubleshooting operating system, process, package, file system, permissions, networking, and performance issues. Experience building, securing, deploying, and operating containers using Docker, Open Container Initiative-compatible technologies, or equivalent container tooling. Experience with infrastructure as code, configuration automation, source control, continuous integration and continuous delivery pipelines, and repeatable deployment practices. Working knowledge of enterprise networking concepts, including TCP/IP, routing, firewalls, Domain Name System, load balancing, virtual private networks, Transport Layer Security, certificates, and network segmentation. Working knowledge of Department of Defense cybersecurity and authorization practices, including Risk Management Framework activities, Security Technical Implementation Guides, vulnerability management, continuous monitoring, and Authority to Operate requirements. Ability to independently diagnose complex technical problems, coordinate across multiple technical teams, document findings, and drive issues through resolution. Strong written and verbal communication skills, including the ability to explain technical issues, risks, and recommendations to engineering, cybersecurity, program, and mission stakeholders. Ability to work effectively in a remote environment, protect government information, maintain reliable connectivity, and travel periodically as required. Desired Qualifications: Experience operating Kubernetes on Amazon Elastic Kubernetes Service within AWS GovCloud or another Department of Defense-authorized cloud environment. Experience supporting systems at Department of Defense Impact Level 4, Impact Level 5, or Impact Level 6. Experience with Terraform, AWS CloudFormation, GitLab, GitHub Actions, Jenkins, Argo CD, Helm, Kustomize, or comparable platform engineering and GitOps tools. Experience with observability technologies such as Amazon CloudWatch, Prometheus, Grafana, OpenSearch, Elastic, Fluent Bit, or comparable logging and monitoring platforms. Experience with container security, software supply-chain controls, image scanning, software bills of materials, Iron Bank images, or hardened container baselines. Experience integrating platform services with Common Access Card authentication, Department of Defense public key infrastructure, identity providers, role-based access control, attribute-based access control, or Zero Trust architectures. Experience with service mesh, secrets management, policy as code, automated compliance, high availability, disaster recovery, or multi-account AWS architectures. AWS, Certified Kubernetes Administrator, Certified Kubernetes Application Developer, Linux, cybersecurity, or related professional certification. Prior experience directly supporting a Department of War mission partner, combatant command, military service component, Special Operations Forces organization, or other national security customer. Target salary range: $135,000 - $230,000 Disclaimer: The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances. Applicants must meet eligibility requirements for a U.S. Government security clearance. Only US Citizens are eligible for a security clearance. For this position, LMI will only consider applicants with security clearances or applicants who are eligible for security clearances, due to the nature of the work. Job Locations US-Remote Originally posted on Himalayas

EMPLOYER IS A CONTRACTOR FOR THE U.S. GOVERNMENT. THIS POSITION REQUIRES U.S. CITIZENSHIP. Role Description We are seeking a talented and experienced Platform Engineer to join our team. Possessing strong proficiency with Kubernetes, the ideal candidate will play a crucial role in the development and maintenance of our platform, demonstrating a strong understanding of system architecture, problem-solving skills, and the ability to guide junior engineers. As a Platform Engineer within our organization, you will join a team of dedicated unicorns who are focused on advancing freedom and independence globally. Our teams work on various different technical baselines depending on specific engagements. We focus our Products on the Platform layer, but to deliver for our Heroes, we also work IaC automation, security, and implementation. Responsibilities You will help us automate and build a runtime Production Environment and serve as a link between the Applications, either custom development, COTS, or OSS, and that environment, advocating best practices and facilitating communication between the application teams and platform teams. In this position, you will be expected to: Validate Solutions/Implementations: Ensure that solutions and implementations align with the outlined tasks and business requirements. Conduct thorough validations to maintain the integrity and efficiency of the platform. Independently Problem Solve: Demonstrate the ability to identify and solve business problems independently. Develop small components to address specific challenges without relying on explicit architecture diagrams. Understand Medium-Level Tasking: Comprehend how medium-level tasks contribute to the achievement of overall goals. Collaborate with cross-functional teams to integrate various components into a cohesive and functional platform. Estimate Time and Effort: Provide accurate time and effort estimates for medium-sized tasks. Assist in project planning and resource allocation based on estimated timelines. Demonstrate Programming Language Proficiency: Possess familiarity with at least one programming language. Exhibit a basic understanding of when to use a programming language versus a shell for efficient task execution. Own the Bridge Between Application Development and Production: Own the bridge between the Application Development team(s) and the Production Environment. The listed responsibilities are not exhaustive and additional responsibilities may be assigned based on the evolving needs of the organization. We are seeking a dynamic individual who is able to adapt and take on new responsibilities as they arise. Clearance & Travel Requirements Clearance Requirement: Active Secret clearance highly preferred. Travel Expectations: 10%–25%. Required Experience and Qualifications Proven experience as a Platform Engineer or similar role, with a focus on system architecture and development. Demonstrated experience with cloud-native technologies such as Kubernetes, Google Cloud, and Docker. Familiarity with continuous delivery, distributed architectures, systems, everything-as-code, containerization, and cloud services. Proficiency in at least one programming language (e.g., Python, Go, Ansible) and a basic understanding of shell scripting. Proficient with YAML. Strong problem-solving skills and the ability to work independently. Excellent communication skills and the ability to collaborate effectively with cross-functional teams. Comfort with debugging systems and reading/writing code. Knowledgeable about DevSecOps/DevOps and CI/CD theory. Ability to obtain and maintain a clearance. Preferred Experience and Qualifications Active Secret security clearance or higher. Experienced in working on a team following an Agile framework in a remote environment. Experience with security automation and familiarity with API Security, Container Security, and Cloud Security. Familiar with architecture security design, monitoring, and performance instrumentation in a complex enterprise environment. Possess a DoD 8570 IAT II certification. Experienced in Department of Defense work, specifically working on a production Authority to Operate (ATO’d) system. Who We Are Defense Unicorns delivers mission value by streamlining software delivery so our customers can focus on the most important challenges. We share a vision of freedom and security for the advancement of progress and innovation. Our commitment to this vision, and to our mission-driven customers, means a commitment to speed, user experience and optionality, without compromising security. Our team is composed of innovators, software engineers, and veterans with decades of experience delivering technology programs across the federal market. What We Do We create and deliver secure solutions for continuous software integration and delivery. Defense Unicorns consolidates the best practices for security pipelines, testing, and deployment automation in order to meet the high security requirements valued by mission owners. Our solutions are agnostic by design and we believe that growing a robust ecosystem of secure, cloud-native software solutions can help enterprise customers inside and outside the federal market buy and integrate software more easily. Who We Serve Defense Unicorns’ customers are mission-focused leaders across public and private enterprises. We proudly support defense and civil agencies across the U.S. government and we work closely with the creators of leading-edge software solutions to deliver value to the mission-owner by improving the security and consumability of commercial software products. What We Work On Kubernetes Cloud Environments (AWS/GCP and Azure) Infrastructure-as-code (like Terraform/Pulumi) Continuous Delivery and automation tooling GitOps Containers CNCF projects and open source products and packages Helm/Kustomize-Value Stream Mapping Building and improving security delivery Building Kubernetes and cloud native applications Benefits Our Unicorns Enjoy Health: Medical/Dental/Vision Premiums are 100% Company Paid Health Savings Account Life Insurance Disability Insurance Financial: 401k Retirement Plan Company Stock Options Home Office Budget Leave: We offer all full-time Unicorns Flexible Time Off (FTO) plus all Federal Holidays, one week for Thanksgiving, and two weeks for Christmas and New Year’s Paid Parental Leave Learning: Reimbursement for approved trainings/subscriptions Conferences (travel, lodging, and fees) Don’t have all the preferred experience or qualifications? Studies show that underrepresented groups like women and people of color are less likely to apply to jobs if they don't meet every requirement listed. At Defense Unicorns, we're committed to diversity. If you're enthusiastic about the role but don't match every criteria, we encourage you to apply. You could be the perfect fit for this or another role! Defense Unicorns is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law. CCPA DISCLOSURE

Job Title: OMS Platform Reliability Lead Location: 100% Remote Employment Type: 6-month contract(potential for extension) Pay rate : $61/hr on W2. Job Summary We are seeking an experienced OMS Platform Reliability Lead to drive the reliability, stability, and automation of a high-volume Order Management System (OMS) platform. This is a highly technical role that combines Platform Engineering, Site Reliability Engineering (SRE), and technical leadership to improve platform health through automation, observability, and proactive incident management. The ideal candidate will lead a technical support team while serving as the bridge between Software Engineering and IT Operations, driving self-healing capabilities, operational excellence, and continuous platform improvements. Key Responsibilities Technical Automation & Self-Healing Design and implement automated order replay mechanisms to resolve synchronization failures across event-driven integrations. Develop automation tools and scripts using Python, REST APIs, or platform SDKs for bulk updates and system remediation. Build advanced monitoring dashboards using tools such as Splunk, Datadog, ELK, or New Relic. Design proactive alerting to detect stuck orders, inventory mismatches, API failures, and platform issues before customer impact. Platform Reliability & Incident Management Serve as the highest technical escalation point for production issues requiring Java debugging and GraphQL troubleshooting. Perform detailed Root Cause Analysis (RCA) using application logs and event-driven architecture. Analyze API performance and database interactions to recommend performance improvements. Maintain incident documentation, technical workarounds, and operational runbooks. Engineering Collaboration Partner with Engineering, Architecture, and E-commerce teams to ensure operational requirements are incorporated into development roadmaps. Collaborate with external platform vendors regarding upgrades, integrations, and API changes. Mentor technical support engineers in GraphQL optimization, Java debugging, and platform troubleshooting. Release & Change Management Validate platform configurations and custom extensions during release cycles. Support Git-based version control, branching strategies, and operational hotfix deployments. Ensure deployment stability through strong CI/CD awareness and release governance. Required Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field. 5+ years of experience in OMS Technical Operations, Platform Engineering, or Site Reliability Engineering within high-volume SaaS environments. Strong understanding of Order Management Systems and event-driven architectures. Experience with REST APIs, JSON, GraphQL, and Java troubleshooting. Strong SQL skills for operational diagnostics and reporting. Proficiency in Python for automation and scripting. Experience with Git, CI/CD pipelines, and deployment best practices. Hands-on experience with observability tools such as Splunk, Datadog, ELK Stack, or New Relic. Knowledge of messaging/event technologies such as Kafka, Pub/Sub, or Event Grid. Strong analytical and troubleshooting skills with experience performing Root Cause Analysis (RCA). Familiarity with ITIL processes and an SRE mindset focused on automation and reducing manual operational effort. Preferred Qualifications Hands-on experience with Fluent Commerce, including: Fluent GraphQL API Webhooks Essential Rules Fluent SDK Experience supporting high-volume eCommerce or retail platforms. Experience designing self-healing operational automation. Desired Skills Platform Reliability Engineering Site Reliability Engineering (SRE) OMS Operations Fluent Commerce GraphQL Java Python SQL REST APIs Kafka Event-Driven Architecture Datadog Splunk ELK Stack New Relic Git CI/CD Root Cause Analysis Incident Management Observability Automation Engineering If you're passionate about building highly reliable platforms, driving automation, and improving operational excellence in large-scale eCommerce environments, we'd love to hear from you. About Us: Founded in 2009, IntelliPro stands as a global leader in talent acquisition and HR solutions. Our commitment to delivering unparalleled service to clients, fostering employee growth, and building enduring partnerships sets us apart. With a dynamic presence in the USA, China, Canada, Singapore, Philippines, UK, India, Netherlands, and Germany, we continue to lead the way in global talent solutions. IntelliPro, a global leader in connecting individuals with rewarding employment opportunities, is dedicated to understanding your career aspirations. As an Equal Opportunity Employer, IntelliPro values diversity and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, or any other legally protected group status. Moreover, our Inclusivity Commitment emphasizes embracing candidates of all abilities and ensures that our hiring and interview processes accommodate the needs of all applicants. Learn more about our commitment to diversity and inclusivity at https://intelliprogroup.com/. Compensation: The pay offered to a successful candidate will be determined by various factors, including education, work experience, location, job responsibilities, certifications, and more. Additionally, IntelliPro provides a comprehensive benefits package, all subject to eligibility.

Job Title: OMS Platform Reliability Lead Location: 100% Remote Employment Type: 6-month contract(potential for extension) Pay rate : $61/hr on W2. Job Summary We are seeking an experienced OMS Platform Reliability Lead to drive the reliability, stability, and automation of a high-volume Order Management System (OMS) platform. This is a highly technical role that combines Platform Engineering, Site Reliability Engineering (SRE), and technical leadership to improve platform health through automation, observability, and proactive incident management. The ideal candidate will lead a technical support team while serving as the bridge between Software Engineering and IT Operations, driving self-healing capabilities, operational excellence, and continuous platform improvements. Key Responsibilities Technical Automation & Self-Healing Design and implement automated order replay mechanisms to resolve synchronization failures across event-driven integrations. Develop automation tools and scripts using Python, REST APIs, or platform SDKs for bulk updates and system remediation. Build advanced monitoring dashboards using tools such as Splunk, Datadog, ELK, or New Relic. Design proactive alerting to detect stuck orders, inventory mismatches, API failures, and platform issues before customer impact. Platform Reliability & Incident Management Serve as the highest technical escalation point for production issues requiring Java debugging and GraphQL troubleshooting. Perform detailed Root Cause Analysis (RCA) using application logs and event-driven architecture. Analyze API performance and database interactions to recommend performance improvements. Maintain incident documentation, technical workarounds, and operational runbooks. Engineering Collaboration Partner with Engineering, Architecture, and E-commerce teams to ensure operational requirements are incorporated into development roadmaps. Collaborate with external platform vendors regarding upgrades, integrations, and API changes. Mentor technical support engineers in GraphQL optimization, Java debugging, and platform troubleshooting. Release & Change Management Validate platform configurations and custom extensions during release cycles. Support Git-based version control, branching strategies, and operational hotfix deployments. Ensure deployment stability through strong CI/CD awareness and release governance. Required Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field. 5+ years of experience in OMS Technical Operations, Platform Engineering, or Site Reliability Engineering within high-volume SaaS environments. Strong understanding of Order Management Systems and event-driven architectures. Experience with REST APIs, JSON, GraphQL, and Java troubleshooting. Strong SQL skills for operational diagnostics and reporting. Proficiency in Python for automation and scripting. Experience with Git, CI/CD pipelines, and deployment best practices. Hands-on experience with observability tools such as Splunk, Datadog, ELK Stack, or New Relic. Knowledge of messaging/event technologies such as Kafka, Pub/Sub, or Event Grid. Strong analytical and troubleshooting skills with experience performing Root Cause Analysis (RCA). Familiarity with ITIL processes and an SRE mindset focused on automation and reducing manual operational effort. Preferred Qualifications Hands-on experience with Fluent Commerce, including: Fluent GraphQL API Webhooks Essential Rules Fluent SDK Experience supporting high-volume eCommerce or retail platforms. Experience designing self-healing operational automation. Desired Skills Platform Reliability Engineering Site Reliability Engineering (SRE) OMS Operations Fluent Commerce GraphQL Java Python SQL REST APIs Kafka Event-Driven Architecture Datadog Splunk ELK Stack New Relic Git CI/CD Root Cause Analysis Incident Management Observability Automation Engineering If you're passionate about building highly reliable platforms, driving automation, and improving operational excellence in large-scale eCommerce environments, we'd love to hear from you. About Us: Founded in 2009, IntelliPro stands as a global leader in talent acquisition and HR solutions. Our commitment to delivering unparalleled service to clients, fostering employee growth, and building enduring partnerships sets us apart. With a dynamic presence in the USA, China, Canada, Singapore, Philippines, UK, India, Netherlands, and Germany, we continue to lead the way in global talent solutions. IntelliPro, a global leader in connecting individuals with rewarding employment opportunities, is dedicated to understanding your career aspirations. As an Equal Opportunity Employer, IntelliPro values diversity and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, or any other legally protected group status. Moreover, our Inclusivity Commitment emphasizes embracing candidates of all abilities and ensures that our hiring and interview processes accommodate the needs of all applicants. Learn more about our commitment to diversity and inclusivity at https://intelliprogroup.com/. Compensation: The pay offered to a successful candidate will be determined by various factors, including education, work experience, location, job responsibilities, certifications, and more. Additionally, IntelliPro provides a comprehensive benefits package, all subject to eligibility.

Platform Engineer

Finastra

Atlanta, GA

Build and operate a multi-tenant, cloud-native SaaS platform supporting Kubernetes microservices. Develop production-grade platform tooling, CI/CD automation, GitHub governance, GitOps deployments, infrastructure as code, observability, and reliability practices. Debug issues across Kubernetes and Spring Boot application layers, implement secure progressive delivery, define SLOs, support incident response, and mentor engineers on platform and DevOps practices. Top Skills: Aks, Argo Cd, AWS, Azure, Codeql, Dependabot, Docker, Eks, Flux, Gatekeeper, GCP, Github Actions, Github Advanced Security, Github Api, Gke, Go, Grafana, Helm, Hibernate, Java, Kafka, Kubernetes, Kustomize, Opa, Prometheus, Python, RabbitMQ, SAML, Sealed Secrets, Spring Boot, Sso, Terraform, Vault Industry: Fintech

Platform Engineer

Recruitment.ai

New York, NY

Required Skills: Strong hands-on experience with AWS services such as EC2, RDS, EKS, IAM, and networking. Solid Infrastructure as Code (IaC) experience using Terraform (reusable modules, remote state management, workspaces, providers, and multi-environment deployments) and Ansible. Experience building and maintaining CI/CD pipelines. Strong Git/GitHub skills, including branching strategies, pull requests, code reviews, tagging, releases, merges, and conflict resolution. Experience using AI tools (e.g., ChatGPT, GitHub Copilot, Claude) to accelerate troubleshooting, automation, scripting, and project delivery. Ability to automate operational (KTLO) tasks and improve platform efficiency. Strong troubleshooting, ownership, and problem-solving skills.

Platform Engineer

Robinson Helicopter Company

90505, Torrance, CA, USA

Own and improve Robinson’s web platform, Azure environment, CI/CD pipelines, APIs, databases, monitoring, security, and enterprise integrations. Build and operate Next.js and Strapi applications across environments, automate releases with GitHub Actions and Docker, integrate Shopify and Epicor Kinetic, and manage reliability, incident response, access controls, documentation, and production readiness. Partner with business teams to deliver secure, scalable digital solutions. Top Skills: Azure App Service, Azure Application Insights, Azure Blob Storage, Azure Container Registry, Azure Front Door, Azure Openai, Azure Postgresql, Azure Redis, Azure Waf, Bash, Bicep, Cdn, Cypress, Dns, Docker, Epicor Kinetic Erp, Git, Github Actions, GraphQL, JavaScript, Azure, Microsoft Foundry, Next.Js, Node.js, Openai Apis, Postgres, Powershell, Python, React, Redis, Rest Apis, Sentry, Shopify, SQL, Strapi, Terraform, Tls, Typescript Industry: Aerospace , Transportation , Defense , Manufacturing

platform Engineer

TEKEngineersInc

Carmel, IN

No Description

CDN Platform Engineer

SRI Tech Solutions

Dearborn, MI

CDN Platform Engineer Dearborn, MI (Hybrid) Full Time Overview The CDN Platform Engineer will design, implement, optimize, and support enterprise CDN platforms for large-scale, customer-facing applications. The role focuses on secure, highly available content delivery, caching, traffic routing, edge security, automation, and Multi-CDN transformation. Hybrid: Remote candidates considered; 1 day per week onsite. Key Responsibilities Own and serve as SME for enterprise CDN technologies, partnering with application, network, and security teams. Build self-service CDN capabilities through an internal developer portal. Lead global CDN migrations and enforce enterprise standards. Drive modernization from legacy vendor-managed CDN environments to an automated Multi-CDN ecosystem. Lead RCA for critical production incidents and participate in on-call rotations. Develop automation and remediation scripts to improve reliability. Define and monitor CDN SLOs/SLAs, alerts, and proactive remediation. Evaluate emerging CDN technologies and performance optimization techniques. Mentor engineers and develop technical documentation, playbooks, and training materials. Required Qualifications 5+ years managing enterprise CDN platforms such as Akamai, Cloudflare, Fastly, or Google Cloud CDN . Strong knowledge of DNS, GTM, CNAME, HTTP/2, HTTP/3, TLS/SSL, caching, and edge computing . Hands-on experience with Akamai, Cloudflare, Google Media CDN, Google Cloud Platform Cloud CDN, and Fastly . Strong Terraform and Ansible experience for CDN provisioning, origin mappings, WAF, and Bot Management automation. Experience building API-driven self-service solutions and Backstage plugins . Front-end development with React and backend development using Python (FastAPI/Flask) or Java . Experience with GitOps, Tekton, Pipeline-as-Code, and GitHub Actions . Experience with Apigee, OpenAPI, and 42Crunch security scanning . Experience with Splunk, Dynatrace, and Grafana for telemetry and monitoring. SaaS experience. Bachelor`s degree. Preferred Qualifications Google Cloud Platform experience with Cloud Run, Transcoder API, and GKE/OpenShift . Experience with CDN integration for Adobe Experience Manager (AEM/AEMaaCS) . Content management experience.

Principal Platform Engineer Software Platforms General Overview AI is collapsing the cost of building software, and Ralliant intends to lead, not follow. We're building a shared platform that reinvents how our operating companies create and ship software, starting with an AI-first approach to developer productivity. From there, the platform grows into shared services that let operating companies bring new software offerings to market and commercialize them more quickly. Operating companies own their products, customers, and roadmaps, while the platform provides the common foundation they build on rather than rebuild. The title centers on platform engineering, but the work spans four competencies: cloud engineering, DevOps, site reliability engineering, and software engineering. Strong candidates are deep in at least one and capable across all four, and they stay hands-on in the code while helping steward the architecture and standards the platform depends on. The Principal Platform Engineer is a senior individual contributor who builds and operates the platform's core services while helping steward its architecture and standards. Principals take major capabilities from design through production and ongoing operation, shape the golden paths operating companies adopt, and set the technical bar through engineering, code review, and mentorship. The role reports to the Chief Software Platform Officer and partners closely with the Director of Technical Product Management and engineering teams across the operating companies. Responsibilities Build platform capability hands-on: design and ship core platform services end to end, from architecture through production and ongoing operation, as self-service capabilities that operating-company engineers adopt with minimal friction. Steward the platform's architecture and standards, shaping the reference architecture, golden paths, and paved roads, and turning engineering standards into executable guidance through the Architecture Council. Advance AI-first software delivery by building and evolving the templates, pipelines, and golden paths that raise developer throughput, and help extend the platform into shared services that support new software offerings. Own reliability, security, and cost for the services you build: define SLIs and SLOs, instrument observability, run incident response, and reduce toil through automation, with security and cost designed in from the start. Set the technical bar and mentor: raise the level of platform and operating-company engineers through hands-on engineering, code review, and mentorship, and help build a connected engineering community across the portfolio. Qualifications Depth. 15+ years across the platform disciplines (platform engineering, cloud, DevOps, SRE, and software engineering), including deep hands-on experience building and operating services consumed by multiple teams or business units. Platform engineering. Hands-on experience building internal developer platforms and shared services used by many teams or business units (self-service, golden paths, API versioning and backward compatibility, adoption), with a platform-as-product mindset that treats engineers as customers and reduces their cognitive load. Cloud engineering. Strong, current, hands-on expertise on AWS (or Azure/GCP): containers and Kubernetes, infrastructure-as-code (Terraform, Pulumi, or similar), and practical command of networking, identity, security posture, and cost. DevOps. Deep hands-on CI/CD and GitOps experience, building and operating delivery pipelines and environment automation, and improving the developer experience of shipping change safely and fast. Site reliability engineering. Production-ownership experience: SLIs and SLOs, error budgets, observability, incident response, capacity planning, and toil reduction through automation. Software engineering. An excellent engineer with strong design sensibility (API contracts, clean abstractions, separation of concerns) who builds production services as durable products and stays hands-on in the code. Fluent in at least one modern backend language (Go, Python, TypeScript, or similar), with sound build-vs-buy judgment. Platform security. Hands-on cloud-native security expertise (IAM, OAuth/OIDC, secrets and workload identity, certificate lifecycle, policy-as-code, and secure software supply chain), with a track record of building secure-by-default platforms. Architecture and standards stewardship. A track record of shaping reference architectures, golden paths, and engineering standards that other teams adopt, turning them into executable guidance rather than documentation. AI-first delivery. Hands-on experience with AI-assisted development and agentic coding workflows (Claude Code, Codex, Cursor, or similar), able to define best practices and guardrails and to shape how these tools change delivery, code quality, and team structure. Influence and communication. Exceptional written and verbal communication, able to build trust across organizational boundaries, align engineers across operating companies, and mentor without relying on positional authority. #LI-RG1 Ralliant Corporation Overview Ralliant, originally part of Fortive, now stands as a bold, independent public company driving innovation at the forefront of precision technology. With a global footprint and a legacy of excellence, we empower engineers to bring next-generation breakthroughs to life — faster, smarter, and more reliably. Our high-performance instruments, sensors, and subsystems fuel mission-critical advancements across industries, enabling real-world impact where it matters most. At Ralliant we’re building the future, together with those driven to push boundaries, solve complex problems, and leave a lasting mark on the world. We Are an Equal Opportunity Employer. Ralliant Corporation and all Ralliant Companies are proud to be equal opportunity employers. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity or expression, or other characteristics protected by law. Ralliant and all Ralliant Companies are also committed to providing reasonable accommodations for applicants with disabilities. Individuals who need a reasonable accommodation because of a disability for any part of the employment application process, please contact us at applyassistance@Ralliant.com. Bonus or Equity This position is also eligible for bonus as part of the total compensation package. Pay Range The salary range for this position (in local currency) is 148900.00-276500.00

Senior Platform Engineer - REMOTE Our client is at the forefront of applying machine learning research to transform the way medical conversations are understood and utilized. **The Role** We are in search of a platform engineer to join our team in enhancing, securing, and scaling our cutting-edge natural language understanding platforms. In this role, you will collaborate closely with both application developers and machine learning specialists to design and implement services using terraform and Google Cloud Platform (GCP). Additionally, you will play a key role in establishing and securing integrations with our clients and partners. As part of our compact and cooperative team, your contributions will significantly influence our operational methodologies. **What You'll Do** Work in tandem with application engineers to develop and maintain robust, efficient, and secure infrastructure for our mobile and web applications. Forge secure connections between our platform and healthcare systems in collaboration with engineers and clients. Empower application teams with the tools and processes necessary for monitoring performance, availability, and reliability, fostering a culture of ownership. Seek out and spearhead initiatives to enhance engineering productivity through innovative tooling and streamlined processes. Oversee CI/CD pipelines and manage other critical components of our cloud-based development infrastructure. Champion and implement security best practices within the organization. Produce and update clear, relevant, and precise documentation. **What You'll Bring** Over 5 years of software engineering background, with at least 3 years dedicated to infrastructure-as-code practices within a cloud-centric organization. Proficiency in managing Kubernetes clusters, including the creation and upkeep of helm charts for deploying applications. Expertise in developing and maintaining CI/CD pipelines for both infrastructure and application code deployments (e.g., Terragrunt, Atlas, ArgoCD, Octopus Deploy, Travis CI). Comfortable with implementing and securing services on Google Cloud Platform as Infrastructure as code, including managing GCP Projects, VPC Networks, Google Kubernetes Engine, and IAM Roles, Groups, and policies. Skilled in backend scripting languages (e.g., Python, GoLang, JavaScript, Rust, Bash). Always up-to-date with industry best practices and tools, with a keen interest in learning new technologies. Enthusiastic about contributing actively in a dynamic, productive, and supportive team environment. Ready to assist across various tasks, embracing the fast-paced nature of a growing startup. Originally posted on Himalayas

DevOps Platform Engineer

Madiff

United States

This is a remote position. We are looking for a delivery-focused DevOps / Platform Engineer to support day-to-day operations of an internal cloud platform. This role is hands-on and execution-oriented, focused on stabilising and scaling cloud operations rather than architecture or greenfield design. The goal is to absorb operational workload from core engineers and ensure reliable, predictable platform operations in production environments. Responsibilities Provide hands-on operational support for Azure cloud environments Manage subscriptions, resource groups, networking, storage, Key Vaults, virtual machines, private endpoints, and security configurations Support Databricks platform operations including users, groups, service principals, clusters, jobs, notebooks, serverless components, models, and Unity Catalog Execute routine operational tasks to maintain platform stability and reliability Support secure connectivity and basic cloud networking patterns Apply Infrastructure as Code using Terraform or equivalent tools Work closely with the internal platform team, following established standards, tooling, and governance Contribute to long-term platform maturity through consistent, reliable execution Requirements Strong hands-on experience operating Microsoft Azure environments Practical experience supporting Databricks platforms in production Solid understanding of cloud security fundamentals and networking basics Experience applying Infrastructure as Code principles Strong delivery mindset and comfort executing predefined operational tasks Ability to work collaboratively within an established platform team Confident English for daily cooperation with international stakeholders Nice to have Experience working in regulated or insurance environments Exposure to MLOps or AI platforms Python scripting or automation experience Benefits Solid, competitive salary Work in multinational environment on international projects Comprehensive healthcare Long-term B2B contract with stable project pipeline Fully remote model Originally posted on Himalayas

AI Platform Engineer

Bright Vision Technologies

United States

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. Job Title: AI Platform Engineer Location: 100% Remote (Continental United States) Position Type: Full-time, Direct W2 Salary Range: $100,000 – $150,000 per annum Experience: 6+ years Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. Job Summary: We are seeking an AI Platform Engineer to design, build, and operate scalable AI inference platforms for production ML workloads. The ideal candidate will have expertise in distributed systems, LLM serving, GPU optimization, autoscaling, and cloud-native infrastructure, with a strong focus on performance, reliability, and observability. Key Responsibilities: Design and maintain scalable AI model serving platforms. Optimize inference performance, GPU utilization, and request routing. Build autoscaling, deployment, and monitoring solutions. Implement caching, security, and high-availability strategies. Collaborate with ML teams to deploy and support production AI models. Required Qualifications: 6+ years of experience in distributed systems, infrastructure, or ML platform engineering. Strong proficiency in Python and Go, Rust, or C++. Experience with LLM inference frameworks (vLLM, TensorRT-LLM), Kubernetes, cloud platforms, and GPU optimization. Preferred Qualifications: Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. Job Title AI Platform Engineer Location: 100% Remote (Continental United States) Position Type: Full-time, Direct W2 Salary Range: $130,000–$180,000 Annually (based on experience) Experience Required:10+ Years Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. Job Summary Bright Vision Technologies is seeking a highly experienced AI Platform Engineer with 10+ years of experience in distributed systems, cloud-native infrastructure, and AI platform engineering to design, build, and operate enterprise-scale AI inference and machine learning platforms. The ideal candidate will possess deep expertise in LLM serving, GPU optimization, Kubernetes, cloud infrastructure, distributed systems, and MLOps, with a proven ability to deliver highly scalable, reliable, secure, and cost-efficient AI platforms supporting production machine learning workloads. Key Responsibilities Design, build, and maintain scalable AI inference and model-serving platforms for enterprise production environments. Architect highly available, cloud-native infrastructure supporting Large Language Models (LLMs), foundation models, and machine learning services. Optimize inference latency, throughput, GPU utilization, memory management, and request scheduling across distributed AI workloads. Design autoscaling, workload orchestration, traffic management, and intelligent request routing strategies for AI services. Implement model deployment, versioning, rollback, and lifecycle management using modern MLOps practices. Develop monitoring, observability, logging, distributed tracing, and alerting solutions to ensure platform reliability and performance. Implement caching strategies, API gateways, security controls, authentication, authorization, and high-availability architectures. Collaborate with AI researchers, ML engineers, DevOps teams, and software engineers to deploy and support production AI models. Drive cloud infrastructure optimization, resource utilization, FinOps initiatives, and operational excellence. Mentor engineering teams, conduct architecture reviews, and establish best practices for AI platform engineering and cloud-native development. Evaluate emerging AI infrastructure technologies, model-serving frameworks, and GPU acceleration techniques to drive continuous innovation. Required Qualifications Bachelor's or Master's degree in Computer Science, Computer Engineering, Artificial Intelligence, or a related technical discipline. 10+ years of professional experience in distributed systems, infrastructure engineering, cloud platforms, or machine learning platform engineering. Strong programming skills in Python and at least one systems programming language such as Go, Rust, or C++. Extensive experience with Large Language Model (LLM) serving, model inference optimization, and production AI infrastructure. Hands-on experience with vLLM, TensorRT-LLM, Triton Inference Server, Ray Serve, or similar AI serving frameworks. Strong expertise in Kubernetes, container orchestration, Docker, and cloud-native application architectures. Experience optimizing GPU workloads using CUDA, NVIDIA GPU technologies, distributed inference, and high-performance AI infrastructure. Experience with cloud platforms including AWS, Microsoft Azure, or Google Cloud Platform (GCP). Strong understanding of distributed systems, networking, scalability, observability, and security best practices. Excellent analytical, communication, collaboration, and technical leadership skills. Preferred Qualifications Experience designing and operating multi-region AI platforms and globally distributed inference services. Knowledge of model optimization techniques such as quantization, pruning, compression, speculative decoding, KV cache optimization, and mixed-precision inference. Experience with MLOps, GitOps, Infrastructure as Code (Terraform, Bicep, CloudFormation), and CI/CD automation. Familiarity with service mesh technologies such as Istio or Linkerd, API gateways, and event-driven architectures. Contributions to open-source AI infrastructure projects, technical publications, patents, or conference presentations. Experience implementing FinOps strategies, cloud cost optimization, and enterprise AI governance. Experience with multi-region AI deployments and AI infrastructure. Familiarity with model optimization techniques such as quantization or compression. Open-source contributions or experience supporting large-scale AI APIs. Interested in this opportunity? Apply today for immediate consideration! Email your updated resume to or Text (908) 505-3545 if you have any questions. Learn more about Bright Vision Technologies at . We look forward to connecting with talented professionals and helping you take the next step in your career. Bright Vision Technologies is an Equal Opportunity Employer. Equal Employment Opportunity (EEO) Statement Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment. Originally posted on Himalayas

AI Platform Engineer

Bright Vision Technologies

United States

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. Job Title: AI Platform Engineer Location: 100% Remote (Continental United States) Position Type: Full-time, Direct W2 Salary Range: $100,000 – $150,000 per annum Experience: 6+ years Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. Job Summary: We are seeking an AI Platform Engineer to design, build, and operate scalable AI inference platforms for production ML workloads. The ideal candidate will have expertise in distributed systems, LLM serving, GPU optimization, autoscaling, and cloud-native infrastructure, with a strong focus on performance, reliability, and observability. Key Responsibilities: Design and maintain scalable AI model serving platforms. Optimize inference performance, GPU utilization, and request routing. Build autoscaling, deployment, and monitoring solutions. Implement caching, security, and high-availability strategies. Collaborate with ML teams to deploy and support production AI models. Required Qualifications: 6+ years of experience in distributed systems, infrastructure, or ML platform engineering. Strong proficiency in Python and Go, Rust, or C++. Experience with LLM inference frameworks (vLLM, TensorRT-LLM), Kubernetes, cloud platforms, and GPU optimization. Preferred Qualifications: Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. Job Title AI Platform Engineer Location: 100% Remote (Continental United States) Position Type: Full-time, Direct W2 Salary Range: $130,000–$180,000 Annually (based on experience) Experience Required:10+ Years Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. Job Summary Bright Vision Technologies is seeking a highly experienced AI Platform Engineer with 10+ years of experience in distributed systems, cloud-native infrastructure, and AI platform engineering to design, build, and operate enterprise-scale AI inference and machine learning platforms. The ideal candidate will possess deep expertise in LLM serving, GPU optimization, Kubernetes, cloud infrastructure, distributed systems, and MLOps, with a proven ability to deliver highly scalable, reliable, secure, and cost-efficient AI platforms supporting production machine learning workloads. Key Responsibilities Design, build, and maintain scalable AI inference and model-serving platforms for enterprise production environments. Architect highly available, cloud-native infrastructure supporting Large Language Models (LLMs), foundation models, and machine learning services. Optimize inference latency, throughput, GPU utilization, memory management, and request scheduling across distributed AI workloads. Design autoscaling, workload orchestration, traffic management, and intelligent request routing strategies for AI services. Implement model deployment, versioning, rollback, and lifecycle management using modern MLOps practices. Develop monitoring, observability, logging, distributed tracing, and alerting solutions to ensure platform reliability and performance. Implement caching strategies, API gateways, security controls, authentication, authorization, and high-availability architectures. Collaborate with AI researchers, ML engineers, DevOps teams, and software engineers to deploy and support production AI models. Drive cloud infrastructure optimization, resource utilization, FinOps initiatives, and operational excellence. Mentor engineering teams, conduct architecture reviews, and establish best practices for AI platform engineering and cloud-native development. Evaluate emerging AI infrastructure technologies, model-serving frameworks, and GPU acceleration techniques to drive continuous innovation. Required Qualifications Bachelor's or Master's degree in Computer Science, Computer Engineering, Artificial Intelligence, or a related technical discipline. 10+ years of professional experience in distributed systems, infrastructure engineering, cloud platforms, or machine learning platform engineering. Strong programming skills in Python and at least one systems programming language such as Go, Rust, or C++. Extensive experience with Large Language Model (LLM) serving, model inference optimization, and production AI infrastructure. Hands-on experience with vLLM, TensorRT-LLM, Triton Inference Server, Ray Serve, or similar AI serving frameworks. Strong expertise in Kubernetes, container orchestration, Docker, and cloud-native application architectures. Experience optimizing GPU workloads using CUDA, NVIDIA GPU technologies, distributed inference, and high-performance AI infrastructure. Experience with cloud platforms including AWS, Microsoft Azure, or Google Cloud Platform (GCP). Strong understanding of distributed systems, networking, scalability, observability, and security best practices. Excellent analytical, communication, collaboration, and technical leadership skills. Preferred Qualifications Experience designing and operating multi-region AI platforms and globally distributed inference services. Knowledge of model optimization techniques such as quantization, pruning, compression, speculative decoding, KV cache optimization, and mixed-precision inference. Experience with MLOps, GitOps, Infrastructure as Code (Terraform, Bicep, CloudFormation), and CI/CD automation. Familiarity with service mesh technologies such as Istio or Linkerd, API gateways, and event-driven architectures. Contributions to open-source AI infrastructure projects, technical publications, patents, or conference presentations. Experience implementing FinOps strategies, cloud cost optimization, and enterprise AI governance. Experience with multi-region AI deployments and AI infrastructure. Familiarity with model optimization techniques such as quantization or compression. Open-source contributions or experience supporting large-scale AI APIs. Interested in this opportunity? Apply today for immediate consideration! Email your updated resume to or Text (908) 505-3545 if you have any questions. Learn more about Bright Vision Technologies at . We look forward to connecting with talented professionals and helping you take the next step in your career. Bright Vision Technologies is an Equal Opportunity Employer. Equal Employment Opportunity (EEO) Statement Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment. Originally posted on Himalayas

AI Platform Engineer

Bright Vision Technologies

United States

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. Job Title: AI Platform Engineer Location: 100% Remote (Continental United States) Position Type: Full-time, Direct W2 Salary Range: $100,000 – $150,000 per annum Experience: 6+ years Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. Job Summary: We are seeking an AI Platform Engineer to design, build, and operate scalable AI inference platforms for production ML workloads. The ideal candidate will have expertise in distributed systems, LLM serving, GPU optimization, autoscaling, and cloud-native infrastructure, with a strong focus on performance, reliability, and observability. Key Responsibilities: Design and maintain scalable AI model serving platforms. Optimize inference performance, GPU utilization, and request routing. Build autoscaling, deployment, and monitoring solutions. Implement caching, security, and high-availability strategies. Collaborate with ML teams to deploy and support production AI models. Required Qualifications: 6+ years of experience in distributed systems, infrastructure, or ML platform engineering. Strong proficiency in Python and Go, Rust, or C++. Experience with LLM inference frameworks (vLLM, TensorRT-LLM), Kubernetes, cloud platforms, and GPU optimization. Preferred Qualifications: Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. Job Title AI Platform Engineer Location: 100% Remote (Continental United States) Position Type: Full-time, Direct W2 Salary Range: $130,000–$180,000 Annually (based on experience) Experience Required:10+ Years Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. Job Summary Bright Vision Technologies is seeking a highly experienced AI Platform Engineer with 10+ years of experience in distributed systems, cloud-native infrastructure, and AI platform engineering to design, build, and operate enterprise-scale AI inference and machine learning platforms. The ideal candidate will possess deep expertise in LLM serving, GPU optimization, Kubernetes, cloud infrastructure, distributed systems, and MLOps, with a proven ability to deliver highly scalable, reliable, secure, and cost-efficient AI platforms supporting production machine learning workloads. Key Responsibilities Design, build, and maintain scalable AI inference and model-serving platforms for enterprise production environments. Architect highly available, cloud-native infrastructure supporting Large Language Models (LLMs), foundation models, and machine learning services. Optimize inference latency, throughput, GPU utilization, memory management, and request scheduling across distributed AI workloads. Design autoscaling, workload orchestration, traffic management, and intelligent request routing strategies for AI services. Implement model deployment, versioning, rollback, and lifecycle management using modern MLOps practices. Develop monitoring, observability, logging, distributed tracing, and alerting solutions to ensure platform reliability and performance. Implement caching strategies, API gateways, security controls, authentication, authorization, and high-availability architectures. Collaborate with AI researchers, ML engineers, DevOps teams, and software engineers to deploy and support production AI models. Drive cloud infrastructure optimization, resource utilization, FinOps initiatives, and operational excellence. Mentor engineering teams, conduct architecture reviews, and establish best practices for AI platform engineering and cloud-native development. Evaluate emerging AI infrastructure technologies, model-serving frameworks, and GPU acceleration techniques to drive continuous innovation. Required Qualifications Bachelor's or Master's degree in Computer Science, Computer Engineering, Artificial Intelligence, or a related technical discipline. 10+ years of professional experience in distributed systems, infrastructure engineering, cloud platforms, or machine learning platform engineering. Strong programming skills in Python and at least one systems programming language such as Go, Rust, or C++. Extensive experience with Large Language Model (LLM) serving, model inference optimization, and production AI infrastructure. Hands-on experience with vLLM, TensorRT-LLM, Triton Inference Server, Ray Serve, or similar AI serving frameworks. Strong expertise in Kubernetes, container orchestration, Docker, and cloud-native application architectures. Experience optimizing GPU workloads using CUDA, NVIDIA GPU technologies, distributed inference, and high-performance AI infrastructure. Experience with cloud platforms including AWS, Microsoft Azure, or Google Cloud Platform (GCP). Strong understanding of distributed systems, networking, scalability, observability, and security best practices. Excellent analytical, communication, collaboration, and technical leadership skills. Preferred Qualifications Experience designing and operating multi-region AI platforms and globally distributed inference services. Knowledge of model optimization techniques such as quantization, pruning, compression, speculative decoding, KV cache optimization, and mixed-precision inference. Experience with MLOps, GitOps, Infrastructure as Code (Terraform, Bicep, CloudFormation), and CI/CD automation. Familiarity with service mesh technologies such as Istio or Linkerd, API gateways, and event-driven architectures. Contributions to open-source AI infrastructure projects, technical publications, patents, or conference presentations. Experience implementing FinOps strategies, cloud cost optimization, and enterprise AI governance. Experience with multi-region AI deployments and AI infrastructure. Familiarity with model optimization techniques such as quantization or compression. Open-source contributions or experience supporting large-scale AI APIs. Interested in this opportunity? Apply today for immediate consideration! Email your updated resume to or Text (908) 505-3545 if you have any questions. Learn more about Bright Vision Technologies at . We look forward to connecting with talented professionals and helping you take the next step in your career. Bright Vision Technologies is an Equal Opportunity Employer. Equal Employment Opportunity (EEO) Statement Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment. Originally posted on Himalayas

Container Platform Engineer

Bright Vision Technologies

United States

Container Platform Engineer- Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. Job Title: Container Platform Engineer Location: 100% Remote (U.S.) Position Type: Full-time, Direct W2 Salary Range: $100,000–$150,000 Annually Experience Required: 6+ years Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. Job Summary We are seeking an experienced Container Platform Engineer to design, deploy, and operate enterprise-grade Red Hat OpenShift container platforms running mission-critical workloads across on-premises and cloud environments. In this role you will own the end-to-end platform lifecycle — from cluster provisioning and hardening, through workload onboarding and developer enablement, to ongoing operations and continuous improvement. The ideal candidate will bring deep expertise in OpenShift and Kubernetes internals, strong Linux fundamentals, and a security-first mindset, and will partner with application teams, security engineers, and infrastructure stakeholders to deliver a stable, secure, and developer-friendly container platform. Key Responsibilities Architect, provision, and operate Red Hat OpenShift clusters across on-premises, virtualized, and major cloud environments, applying best practices for high availability, scalability, and security. Design and implement multi-tenant OpenShift platforms with appropriate project isolation, network policies, quotas, RBAC, and security context constraints. Automate cluster lifecycle operations — installation, upgrades, scaling, and decommissioning — using OpenShift installer, GitOps tooling (Argo CD, OpenShift GitOps), and IaC frameworks. Onboard application development teams to the platform, providing clear self-service patterns, project templates, CI/CD integrations, and supporting documentation. Operate OpenShift networking, including SDN/OVN-Kubernetes, ingress controllers, routes, network policies, and integration with enterprise firewalls and load balancers. Manage OpenShift storage strategies (block, file, object), including dynamic provisioning, OpenShift Data Foundation, and integration with external storage platforms. Implement comprehensive monitoring, logging, and tracing using the OpenShift observability stack (Prometheus, Grafana, EFK, Tempo) and integrate with enterprise SIEM and APM tools. Harden the platform in collaboration with security teams, including image scanning (Quay/Clair), runtime protection, secret management, and continuous compliance with regulatory frameworks. Design and maintain robust CI/CD pipelines on OpenShift using Tekton, Jenkins, GitLab CI, or Argo Workflows, enabling safe and frequent application deployments. Develop disaster-recovery and backup strategies for cluster state, etcd, and persistent workloads, validated through regular failover and restore drills. Plan, test, and execute cluster upgrades across minor and major versions with minimal disruption to workloads, including pre-upgrade validation and rollback strategies. Partner with application teams to right-size workloads, manage resource quotas, and tune cluster autoscaling for predictable performance and cost efficiency. Continuously evolve platform tooling and developer experience, capturing feedback from internal users and translating it into roadmap improvements. Mentor junior engineers and act as an OpenShift subject-matter expert across the broader organization. Required Qualifications Bachelor’s degree in Computer Science, Engineering, or a related technical discipline. Five or more years of experience operating container platforms in production, with at least three years on Red Hat OpenShift. Deep, hands-on knowledge of Kubernetes and OpenShift internals, including operators, CRDs, RBAC, and networking. Strong Linux administration skills, including networking, performance tuning, and troubleshooting. Hands-on experience with infrastructure-as-code tools such as Ansible, Terraform, or Helm. Solid experience implementing CI/CD pipelines on OpenShift or Kubernetes using Tekton, Jenkins, or Argo CD. Strong scripting skills in Bash, Python, or Go. Working knowledge of cluster monitoring, logging, and tracing tools. Familiarity with container image security and supply chain hardening. Excellent troubleshooting, communication, and documentation skills. Preferred Qualifications Red Hat Certified Specialist in OpenShift Administration or Architect-level Red Hat certification. Experience operating OpenShift on at least one major public cloud (AWS, Azure, GCP). Exposure to service mesh implementations (OpenShift Service Mesh, Istio, Linkerd). Familiarity with regulated environments such as PCI-DSS, HIPAA, or SOC 2. Experience with GitOps workflows using Argo CD or Flux. How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to or contact us at (908) 505-3544. Learn more about Bright Vision Technologies at . Bright Vision Technologies is an Equal Opportunity Employer. Equal Employment Opportunity (EEO) Statement Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment. Originally posted on Himalayas