Bright Vision Technologies Jobs

Application Security 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: Application Security Engineer Location: 100% Remote (U.S.) Position Type: Full-time, Direct W2 Salary Range: $100,000–$160,000 Annually 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: We are looking for an Application Security Engineer to embed security throughout the software development lifecycle, partnering with engineering teams to design secure systems, identify vulnerabilities, and reduce risk across our application portfolio. The role blends hands-on offensive and defensive skills with strong communication and collaboration, helping development teams build secure software efficiently rather than slowing them down. The ideal candidate brings deep technical security expertise, strong software engineering fundamentals, and a track record of shipping security improvements that meaningfully reduce risk in production. Key Responsibilities Conduct threat modeling and security architecture reviews for new and existing applications and services. Perform manual code reviews, secure design consultations, and pair with engineering teams on hardening critical components. Operate and tune SAST, DAST, IAST, SCA, and secret-scanning tools across CI/CD pipelines. Drive vulnerability management workflows including triage, prioritization, owner assignment, and SLA tracking. Build paved-road libraries and frameworks that make secure patterns the default for engineering teams. Lead red-team and purple-team exercises against internal applications and drive remediation of identified weaknesses. Implement and operate runtime protections including WAF, RASP, bot protection, and abuse-detection mechanisms. Design and enforce secure authentication, authorization, session management, and cryptographic patterns. Partner with infrastructure and platform teams to harden container, Kubernetes, and cloud environments. Develop and deliver application security training, lunch-and-learns, and onboarding content for engineering staff. Respond to security incidents involving application vulnerabilities or active exploitation. Track and apply emerging threats and CVEs that may affect the application portfolio. Maintain comprehensive, current technical documentation — including architecture diagrams, design decisions, configuration references, runbooks, and operational procedures — so that the system remains supportable, auditable, and easy to onboard new engineers onto over time. Stay current with application security research and emerging defensive tooling. Required Qualifications Bachelor’s degree in Computer Science, Cybersecurity, or a related field. Ten or more years of application security or security engineering experience. Strong understanding of OWASP Top 10, common vulnerability classes, and modern exploit patterns. Hands-on experience performing code review across at least two major languages. Deep familiarity with SAST, DAST, SCA, and CI/CD-integrated security tooling. Strong understanding of authentication, authorization, and cryptographic primitives. Experience with cloud security and modern infrastructure controls. Strong communication skills with technical and non-technical audiences. Proficiency in at least one programming language for tooling and automation. Experience working closely with engineering teams in an Agile environment. Preferred Qualifications Industry certifications such as OSCP, OSCE, GWAPT, or CISSP. Experience with offensive security tooling and red-team operations. Bug bounty experience, public CVEs, or open-source security contributions. Familiarity with AI/LLM application security considerations. Exposure to regulated industries with strict compliance requirements. How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected] or contact us at (908) 505-3899. Learn more about Bright Vision Technologies at www.bvteck.com . 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.

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Digital Experience Developer

Bright Vision Technologies

Charlotte — Ballantyne, NC 28277

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: Digital Experience Developer Location: 100% Remote (U.S.) Position Type: Full-time, Direct W2 Salary Range: $100,000–$150,000 Annually Experience Required: 6+ years Job Summary We are looking for a Digital Experience Developer to build and maintain enterprise digital experiences on Sitecore Experience Platform (XP), Sitecore XM Cloud, and Sitecore Content Hub. The role spans backend C#/.NET development, front-end work, content modeling, integrations, and platform upgrades, with a strong emphasis on modern composable patterns and migration from legacy implementations. The ideal candidate has shipped meaningful Sitecore work in production, navigates both classic XP/XM and the composable Sitecore ecosystem, and balances technical depth with editor and marketer needs. Required Qualifications 5+ years of Sitecore development experience. Deep expertise in C#/.NET and Sitecore APIs. Strong understanding of Sitecore Helix architecture. Hands-on experience with Sitecore XP, XM, or XM Cloud. Experience with headless implementations using JSS or Next.js. Solid front-end skills with modern JavaScript and build tools. Experience with CI/CD pipelines for Sitecore deployments. Preferred Qualifications Sitecore Certified Developer credentials. Experience with XM Cloud migrations. Familiarity with Sitecore Content Hub, CDP, or Personalize. Exposure to multi-brand or multi-region Sitecore deployments. Experience with Sitecore OrderCloud commerce integrations. How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to jaya@bvteck.com or contact us at (908) 505-3545. Learn more about Bright Vision Technologies at www.bvteck.com. 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.

Embedded AI Engineer

Bright Vision Technologies

Issaquah, WA 98027

Embedded AI 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: Embedded AI 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 looking for an Embedded AI Engineer to design, optimize, and deploy machine learning models that run efficiently on resource-constrained edge devices, including mobile platforms, embedded systems, and specialized accelerators. The role requires deep expertise in model compression, quantization, and hardware-aware optimization, along with strong systems engineering skills to ship reliable AI capabilities outside the data center. The ideal candidate has shipped edge AI in production environments where compute, memory, energy, and connectivity constraints fundamentally shape the engineering trade-offs. Key Responsibilities Design and implement edge AI solutions optimized for diverse hardware including mobile SoCs, NPUs, and embedded accelerators. Apply quantization, pruning, distillation, and architectural optimization to fit models within edge constraints. Tune model performance for latency, energy efficiency, and memory footprint on target hardware. Build cross-platform inference runtimes leveraging frameworks such as TensorFlow Lite, ONNX Runtime, and Core ML. Optimize models for specific accelerator backends including DSPs, NPUs, and mobile GPUs. Implement on-device model update, versioning, and rollback workflows that allow safe staged rollouts to large device populations and rapid recovery if a model release behaves unexpectedly in the field. Design hybrid edge-cloud architectures that gracefully degrade based on connectivity and device capability. Build telemetry pipelines that respect privacy while enabling continuous improvement. Collaborate with hardware, firmware, and product teams to align AI capabilities with device constraints. Implement secure execution paths, model protection, and integrity verification on edge devices. Develop benchmarking suites that characterize accuracy, latency, and energy trade-offs across devices. Drive responsible AI considerations including on-device privacy and bias evaluation. Maintain comprehensive, current technical documentation — including architecture diagrams, design decisions, configuration references, runbooks, and operational procedures — so that the system remains supportable, auditable, and easy to onboard new engineers onto over time. Stay current with edge AI hardware and software developments, regularly review release notes and community discussions, and translate noteworthy advances into concrete recommendations and adoption proposals for the team. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field. Six or more years of experience in ML engineering, with significant work on edge or mobile AI. Strong proficiency in Python and C++. Hands-on experience with model compression, quantization, and pruning techniques. Experience with at least one major edge inference framework. Solid understanding of mobile and embedded hardware architectures. Experience deploying ML models to production on mobile or embedded platforms. Strong performance engineering and profiling skills. Familiarity with on-device privacy and security considerations. Strong communication and cross-functional collaboration skills. Preferred Qualifications Experience with custom NPU or DSP toolchains. Familiarity with federated learning or on-device personalization. Exposure to safety-critical or industrial edge deployments. Open-source contributions to edge AI frameworks. Experience optimizing LLMs for on-device inference. How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to Jenny@bvteck.com or contact us at ( 908) 505-3544 . Learn more about Bright Vision Technologies at www.bvteck.com . 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.

Enterprise Cloud Architect

Bright Vision Technologies

Huntersville, NC 28078

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: Enterprise Cloud Architect 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. Job Summary We are seeking a Enterprise Cloud Architect to design strategies, reference architectures, and platform capabilities that span multiple cloud providers — AWS, Azure, GCP, and selectively OCI — for enterprises operating on more than one cloud by deliberate choice. The role focuses on portability, abstraction layers, federated identity, cross-cloud networking, and platform offerings that hide cloud-specific complexity from product teams. The ideal candidate has architected meaningful multi-cloud capabilities, understands the trade-offs between portability and cloud-native depth, and brings strong opinions grounded in production experience. Required Qualifications 8+ years of experience in cloud architecture roles. Hands-on architecture experience across at least two major cloud providers. Deep understanding of cloud networking, identity, and security across multiple providers. Strong experience with infrastructure-as-code and policy-as-code across clouds. Experience designing federated identity and SSO across cloud platforms. Solid understanding of Kubernetes, container platforms, and managed cloud services. Excellent communication and stakeholder management skills. Multiple cloud certifications across providers. Track record of leading multi-cloud architecture initiatives. Preferred Qualifications Experience with abstraction platforms (Crossplane, Pulumi, Terraform CDK). Familiarity with cloud-agnostic observability platforms. Experience driving large-scale cloud-to-cloud migrations. Exposure to regulated industries with multi-cloud mandates. Public talks or writing on multi-cloud architecture. How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to jaya@bvteck.com or contact us at (908) 505-3545. Learn more about Bright Vision Technologies at www.bvteck.com. 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.

Enterprise Data Architect

Bright Vision Technologies

Issaquah, WA 98029

Enterprise Data Architect - 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: Enterprise Data Architect 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 a Enterprise Data Architect to define and lead the architecture of our enterprise data platform, spanning ingestion, storage, processing, governance, and consumption layers. The role drives the strategic direction of data infrastructure, sets standards for data modeling and lifecycle management, and partners with data engineering, analytics, ML, and business stakeholders to deliver a coherent, scalable data foundation. The ideal candidate combines deep technical mastery of modern data platforms with strong architectural judgment, and has led data-platform programs of meaningful scope and complexity. Key Responsibilities Define the target-state architecture of the enterprise data platform, including ingestion, storage, processing, and consumption layers. Establish standards for data modeling, schema evolution, partitioning, file formats, and storage organization. Architect lakehouse, warehouse, and streaming patterns leveraging technologies such as Snowflake, Databricks, BigQuery, Redshift, Iceberg, Delta Lake, or Hudi. Design end-to-end data pipelines that balance latency, cost, reliability, and maintainability across batch and streaming workloads. Lead the integration of governance, lineage, and catalog tools such as Collibra, Alation, Atlan, Unity Catalog, or DataHub. Define security architecture including row- and column-level controls, masking, encryption, and identity-aware access patterns. Partner with ML, BI, and product teams to ensure platform capabilities align with downstream consumption needs. Establish data contract and data product principles to drive ownership, quality, and decoupling between producers and consumers. Lead architecture reviews and provide guidance on pipeline and warehouse design proposals across teams. Drive cost optimization and capacity planning across the data platform estate. Design disaster recovery, multi-region, and high-availability strategies for critical data assets. Mentor data engineers and architects on platform standards and emerging best practices. Produce architecture artifacts including context diagrams, decision records, and reference patterns. Stay current with data platform research, vendor offerings, and open-source ecosystem developments. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field. Eight or more years of experience in data engineering, with significant time in architecture roles. Deep expertise across at least two major data platforms such as Snowflake, Databricks, BigQuery, or Redshift. Strong understanding of lakehouse architectures, modern table formats, and streaming systems. Hands-on experience with Spark, Flink, or Kafka at production scale. Strong data modeling expertise across dimensional, normalized, and data-vault patterns. Experience implementing governance, lineage, and catalog capabilities. Solid grasp of cloud platforms, networking, identity, and cost optimization. Excellent communication, facilitation, and stakeholder management skills. Track record of leading large data platform initiatives across teams. Preferred Qualifications Experience with data mesh or data product architectures. Familiarity with semantic layers such as dbt Semantic Layer, Cube, or LookML. Exposure to regulated industries with strict data residency or audit requirements. Cloud or platform certifications (Snowflake, Databricks, AWS, Azure, GCP). Public talks or writing on data architecture. How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to Jenny@bvteck.com or contact us at (908) 505-3544. Learn more about Bright Vision Technologies at www.bvteck.com . 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.

Enterprise ServiceNow Architect

Bright Vision Technologies

Issaquah, WA 98029

Enterprise ServiceNow Architect - 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: Enterprise ServiceNow Architect 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 a Enterprise ServiceNow Architect to define and lead the architecture of our enterprise data platform, spanning ingestion, storage, processing, governance, and consumption layers. The role drives the strategic direction of data infrastructure, sets standards for data modeling and lifecycle management, and partners with data engineering, analytics, ML, and business stakeholders to deliver a coherent, scalable data foundation. The ideal candidate combines deep technical mastery of modern data platforms with strong architectural judgment, and has led data-platform programs of meaningful scope and complexity. Key Responsibilities Define the target-state architecture of the enterprise data platform, including ingestion, storage, processing, and consumption layers. Establish standards for data modeling, schema evolution, partitioning, file formats, and storage organization. Architect lakehouse, warehouse, and streaming patterns leveraging technologies such as Snowflake, Databricks, BigQuery, Redshift, Iceberg, Delta Lake, or Hudi. Design end-to-end data pipelines that balance latency, cost, reliability, and maintainability across batch and streaming workloads. Lead the integration of governance, lineage, and catalog tools such as Collibra, Alation, Atlan, Unity Catalog, or DataHub. Define security architecture including row- and column-level controls, masking, encryption, and identity-aware access patterns. Partner with ML, BI, and product teams to ensure platform capabilities align with downstream consumption needs. Establish data contract and data product principles to drive ownership, quality, and decoupling between producers and consumers. Lead architecture reviews and provide guidance on pipeline and warehouse design proposals across teams. Drive cost optimization and capacity planning across the data platform estate. Design disaster recovery, multi-region, and high-availability strategies for critical data assets. Mentor data engineers and architects on platform standards and emerging best practices. Produce architecture artifacts including context diagrams, decision records, and reference patterns. Stay current with data platform research, vendor offerings, and open-source ecosystem developments. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field. Eight or more years of experience in data engineering, with significant time in architecture roles. Deep expertise across at least two major data platforms such as Snowflake, Databricks, BigQuery, or Redshift. Strong understanding of lakehouse architectures, modern table formats, and streaming systems. Hands-on experience with Spark, Flink, or Kafka at production scale. Strong data modeling expertise across dimensional, normalized, and data-vault patterns. Experience implementing governance, lineage, and catalog capabilities. Solid grasp of cloud platforms, networking, identity, and cost optimization. Excellent communication, facilitation, and stakeholder management skills. Track record of leading large data platform initiatives across teams. Preferred Qualifications Experience with data mesh or data product architectures. Familiarity with semantic layers such as dbt Semantic Layer, Cube, or LookML. Exposure to regulated industries with strict data residency or audit requirements. Cloud or platform certifications (Snowflake, Databricks, AWS, Azure, GCP). Public talks or writing on data architecture. How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to Jenny@bvteck.com or contact us at (908) 505-3544. Learn more about Bright Vision Technologies at www.bvteck.com . 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.

Enterprise Storage Specialist

Bright Vision Technologies

Huntersville, NC 28078

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: Enterprise Storage Specialist 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. Job Summary We are seeking a Enterprise Storage Specialist with deep expertise across enterprise storage platforms — NetApp ONTAP, Pure Storage, and Ceph — to design, deploy, and operate the storage foundation that supports our compute, virtualization, database, and Kubernetes workloads. The role spans block, file, and object storage across data center, edge, and cloud environments, with strong attention to performance, data protection, and cost. The ideal candidate has operated heterogeneous storage estates at scale, understands the storage characteristics of diverse workloads, and brings strong automation discipline to storage engineering work. Required Qualifications More than 5 years of enterprise storage engineering experience. Deep expertise in NetApp ONTAP or Pure Storage FlashArray/FlashBlade. Hands-on experience with Ceph at production scale. Strong understanding of SAN, NAS, and object storage protocols. Experience with storage integration for VMware and Kubernetes (CSI). Strong scripting and automation skills using Ansible, Terraform, or REST APIs. Strong understanding of storage performance, capacity planning, and cost optimization. Strong troubleshooting skills across storage, network, and host layers. Preferred Qualifications Vendor certifications (NCDA, NCIE, Pure Storage certifications). Experience with hybrid-cloud storage replication. Familiarity with software-defined storage platforms beyond Ceph. Experience with object storage at petabyte scale. Exposure to AI/ML workloads with extreme I/O requirements. How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to jaya@bvteck.com or contact us at (908) 505-3545. Learn more about Bright Vision Technologies at www.bvteck.com. 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.

Infrastructure Reliability Engineer

Bright Vision Technologies

Round Rock, TX 78681

Infrastructure Reliability 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: Infrastructure Reliability Engineer Location: 100% Remote (U.S.) Position Type: Full-time, Direct W2 Salary Range: $125,000–$170,000 Annually Experience Required: 6+ years Job Summary We are seeking an Infrastructure Reliability Engineer to build and operate the large-scale data systems that power modern AI training and evaluation pipelines. The role combines deep data engineering expertise with a strong understanding of AI workloads, focusing on ingestion, transformation, quality assurance, lineage, and high-throughput delivery of data to training jobs across diverse modalities. The ideal candidate has experience operating petabyte-scale data systems, strong software engineering fundamentals, and clear understanding of how data infrastructure choices propagate into model quality and training efficiency. Key Responsibilities Design and operate large-scale data pipelines supporting AI training, evaluation, and continual improvement workflows. Build ingestion systems for diverse modalities including text, image, audio, video, and structured signals. Implement data cleaning, deduplication, filtering, and quality assurance at petabyte scale. Develop dataset versioning, lineage, and provenance tracking systems suitable for reproducible training. Build high-throughput data loading systems that maximize GPU utilization during training. Implement labeling workflows, active learning pipelines, and human-in-the-loop data improvement systems. Design storage architectures balancing cost, throughput, and latency across data tiers. Build evaluation dataset construction pipelines with strict integrity and contamination controls. Implement data privacy, redaction, and consent enforcement throughout the pipeline. Collaborate with ML researchers and engineers to align data systems with model development needs. Drive observability of data quality, drift, and pipeline health across the AI data estate. Optimize cost and performance through compression, format selection, and caching strategies. Document data systems, schemas, and operational procedures for broad internal use. Stay current with AI data infrastructure research and emerging open-source tools. Required Qualifications Bachelor’s or Master’s degree in Computer Science or a related field. Six or more years of data engineering experience, with significant work supporting ML or AI workloads. Strong proficiency in Python and at least one JVM or systems language. Deep experience with modern data processing frameworks such as Spark, Ray, or Beam. Hands-on experience operating petabyte-scale storage and pipeline systems. Strong understanding of distributed systems, data modeling, and storage formats. Experience with dataset versioning, lineage, and reproducibility for ML workflows. Familiarity with high-throughput data loading for accelerator-based training. Strong software engineering practices including testing, CI/CD, and code review. Excellent communication and cross-functional collaboration skills. Preferred Qualifications Experience with multimodal datasets at large scale. Familiarity with data quality tooling and dataset evaluation methodology. Exposure to privacy-preserving data systems and regulated data handling. Open-source contributions to data infrastructure projects. Experience supporting frontier model training pipelines. How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to Harry@bvteck.com or contact us at (908)676-4399. Learn more about Bright Vision Technologies at www.bvteck.com . 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.

Intelligent Edge Engineer

Bright Vision Technologies

Round Rock, TX 78665

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: Intelligent Edge Engineer Location: 100% Remote (U.S.) Position Type: Full-time, Direct W2 Salary Range: $135,000–$155,000 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 looking for an Intelligent Edge Engineer to design, optimize, and deploy machine learning models that run efficiently on resource-constrained edge devices, including mobile platforms, embedded systems, and specialized accelerators. The role requires deep expertise in model compression, quantization, and hardware-aware optimization, along with strong systems engineering skills to ship reliable AI capabilities outside the data center. The ideal candidate has shipped edge AI in production environments where compute, memory, energy, and connectivity constraints fundamentally shape the engineering trade-offs. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field. Six or more years of experience in ML engineering, with significant work on edge or mobile AI. Strong proficiency in Python and C++. Hands-on experience with model compression, quantization, and pruning techniques. Experience with at least one major edge inference framework. Solid understanding of mobile and embedded hardware architectures. Experience deploying ML models to production on mobile or embedded platforms. Strong performance engineering and profiling skills. Familiarity with on-device privacy and security considerations. Strong communication and cross-functional collaboration skills. Preferred Qualifications Experience with custom NPU or DSP toolchains. Familiarity with federated learning or on-device personalization. Exposure to safety-critical or industrial edge deployments. Open-source contributions to edge AI frameworks. Experience optimizing LLMs for on-device inference. How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to Harry@bvteck.com or contact us at (908)676-4399. Learn more about Bright Vision Technologies at www.bvteck.com . 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.

Kubernetes Service Engineer

Bright Vision Technologies

Huntersville, NC 28078

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: Kubernetes Service 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 looking for a Kubernetes Service Engineer to design, deploy, and operate service mesh platforms — primarily Istio and Linkerd — that provide secure, observable, and reliable service-to-service communication across our Kubernetes estate. The role focuses on platform engineering, mesh adoption, mTLS, traffic policy, and helping application teams reap the benefits of a mesh without paying for unnecessary complexity. The ideal candidate has operated service mesh in production, deeply understands Envoy and the data plane, and brings both platform engineering discipline and pragmatic adoption strategies. Key Responsibilities Design and operate service mesh platforms — primarily Istio and Linkerd — across multi-cluster Kubernetes environments. Implement and operate mTLS, certificate rotation, and identity propagation across the mesh. Define traffic management policies including routing, retries, circuit breaking, and fault injection. Integrate the mesh with ingress, egress, and API gateway tiers for unified traffic management. Build observability for mesh traffic including distributed tracing, golden signals, and topology visualization. Design multi-cluster and cross-cluster mesh topologies for high availability and tenant isolation. Profile and optimize mesh performance, sidecar resource usage, and control-plane footprint, applying systematic measurement, targeted improvements, and data-driven validation to deliver quantifiable gains in throughput, latency, or resource efficiency. Develop paved-road adoption patterns and onboarding guides that make mesh adoption easy for app teams. Implement authorization policies and zero-trust patterns at the service mesh layer. Operate service mesh upgrades, control-plane lifecycle management, and configuration governance, applying disciplined release practices that keep the mesh current without disrupting workloads running on top of it. Partner with SRE, platform, and security teams on mesh policy and incident response. Troubleshoot complex networking, mTLS, and traffic issues spanning sidecar and gateway tiers. Maintain runbooks, architecture diagrams, and onboarding materials for the service mesh platform. Stay current with Istio, Linkerd, Cilium, and broader service mesh ecosystem developments. Required Qualifications 6+ years of experience in platform engineering, SRE, or networking roles. Hands-on experience operating Istio or Linkerd in production. Strong understanding of Envoy proxy internals and configuration. Deep Kubernetes expertise including networking, CNI, and ingress. Strong understanding of mTLS, PKI, and certificate lifecycle management. Experience with distributed tracing and observability for mesh traffic. Proficiency in Go or Python for tooling and automation. Preferred Qualifications Experience with multi-cluster Istio or Linkerd deployments. Familiarity with Cilium service mesh and eBPF networking. Open-source contributions to service mesh projects. Experience with SPIFFE/SPIRE for workload identity. Exposure to zero-trust networking initiatives at enterprise scale. How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to jaya@bvteck.com or contact us at (908) 505-3545. Learn more about Bright Vision Technologies at www.bvteck.com. 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.

ML Infrastructure Engineer

Bright Vision Technologies

Issaquah, WA 98029

ML Infrastructure 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: ML Infrastructure 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 AI Infrastructure Engineer to design, build, and operate the platform layer that powers large-scale AI training and inference workloads. The role focuses on GPU clusters, distributed training frameworks, scheduling, storage performance, and developer experience for ML engineers and researchers, with strong emphasis on reliability, efficiency, and cost control. The ideal candidate has built or operated production AI infrastructure at scale, understands the interaction between hardware, kernel, scheduler, and ML framework, and brings strong software engineering discipline to platform work. Key Responsibilities Design and operate GPU and accelerator infrastructure for training and inference, spanning on-prem clusters, cloud-managed services, and hybrid configurations. Build scheduling, queueing, and resource-sharing systems that maximize accelerator utilization across many teams. Integrate frameworks such as PyTorch, JAX, DeepSpeed, FSDP, Megatron-LM, and Ray Train into a unified platform offering. Operate high-performance storage systems and data pipelines that keep accelerators fed with training data at near-line-rate. Design networking architectures supporting RDMA, InfiniBand, NCCL, and high-bandwidth collective communication. Build observability for AI workloads including utilization, throughput, training stability, and failure-mode analytics. Implement checkpointing, restart, and fault-tolerance patterns for long-running training jobs at scale. Drive cost optimization across compute, storage, and networking through scheduling, spot capacity, and right-sizing. Develop developer tooling and paved-road workflows that let researchers launch experiments safely and efficiently. Partner with research and applied ML teams to plan capacity for upcoming training runs. Implement security controls, isolation, and access management for multi-tenant AI infrastructure. Drive automation across cluster provisioning, lifecycle management, and configuration enforcement. Maintain runbooks, capacity dashboards, and operational documentation for the AI platform. Stay current with AI infrastructure research, accelerator hardware, and emerging open-source AI tooling. Required Qualifications Bachelor’s or Master’s degree in Computer Science or a related field. Six or more years of experience in infrastructure, platform, or HPC engineering. Hands-on experience operating GPU clusters or large-scale ML training infrastructure. Strong proficiency in Python and at least one systems language such as Go or C++. Deep understanding of distributed training, accelerator architectures, and collective communication. Experience with Kubernetes, Slurm, Ray, or similar scheduling systems for ML workloads. Strong understanding of Linux internals, networking, and high-performance storage. Experience with at least one major cloud provider’s ML infrastructure offerings. Strong software engineering practices including testing, CI/CD, and code review. Excellent communication and cross-functional collaboration skills. Preferred Qualifications Experience operating InfiniBand or RDMA networking at scale. Contributions to open-source ML infrastructure projects. Familiarity with custom orchestrators or research-grade training stacks. Exposure to frontier model training operations. Experience with FinOps for AI workloads. How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to Jenny@bvteck.com or contact us at (908) 505-3544. Learn more about Bright Vision Technologies at www.bvteck.com . 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.

ML Security Engineer

Bright Vision Technologies

Issaquah, WA 98027

ML Security 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: ML Security 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 AI Security Engineer to lead the design and implementation of security controls, threat models, and incident response capabilities specifically tailored to AI and machine learning systems. The role addresses the unique security challenges posed by LLMs, model APIs, training data pipelines, and AI-powered applications, including prompt injection, model abuse, data exfiltration, and supply chain risks. The ideal candidate has strong security engineering fundamentals and a deep understanding of how modern AI systems work in practice, with hands-on experience designing defenses for both AI-powered applications and the AI infrastructure that supports them. Key Responsibilities Define and implement security controls specifically targeting LLM and AI-powered application risks. Build threat models for AI systems, including prompt injection, jailbreaks, data exfiltration, and abuse patterns. Design and deploy guardrails, content filters, and policy enforcement layers around model endpoints. Implement runtime detection and response capabilities for adversarial prompts and abusive behavior. Secure training and fine-tuning pipelines, including data provenance, integrity, and access controls. Design controls for sensitive data handling, retention, and redaction in LLM workflows. Lead red-team exercises against AI systems and drive remediation of identified weaknesses. Evaluate and harden third-party AI services and open-source AI components used internally. Implement identity, authorization, and tenant-isolation patterns for multi-tenant AI services. Drive supply chain security for ML artifacts including weights, datasets, and inference dependencies. Collaborate with privacy, legal, and compliance teams to ensure AI systems meet regulatory obligations. Develop monitoring, logging, and detection strategies tailored to AI workloads. Lead incident response for AI-specific security events and drive durable improvements. Stay current with adversarial ML, LLM security research, and emerging regulatory developments. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Cybersecurity, or a related discipline. Six or more years of security engineering experience, including significant work on AI or ML systems. Strong understanding of LLM internals, modern AI architectures, and common failure modes. Hands-on experience designing security controls for AI-powered applications. Deep knowledge of application security, identity, and cryptography fundamentals. Experience with threat modeling and security architecture review processes. Familiarity with adversarial ML, prompt injection, and model abuse research. Proficiency in Python and at least one systems language. Strong understanding of cloud security and modern infrastructure controls. Excellent written and verbal communication skills. Preferred Qualifications Publications, talks, or CTF participation in AI security topics. Experience with red-teaming LLM-based products. Familiarity with privacy-preserving ML techniques such as differential privacy. Exposure to regulated industries with strict data handling requirements. Open-source contributions to AI security tooling How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to Jenny@bvteck.com or contact us at (908) 505-3544. Learn more about Bright Vision Technologies at www.bvteck.com . 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.

Network Systems Automation Engineer

Bright Vision Technologies

Huntersville, NC 28078

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: Network Systems Automation 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 a Network Systems Automation Engineer who blends strong Python development skills with deep networking domain expertise to automate network configuration, change management, and observability across multi-vendor enterprise networks. Key Responsibilities Develop network automation solutions using Python, Netmiko, Nornir, NAPALM, and Scrapli . Build automation for network configuration, deployment, and validation. Integrate with NETCONF, RESTCONF, gNMI, and vendor APIs . Implement Infrastructure as Code using Ansible, Terraform, and Jinja2 . Manage source-of-truth platforms such as NetBox or Nautobot . Develop CI/CD pipelines, testing, and network validation. Automate compliance, monitoring, and telemetry. Collaborate with network teams and mentor engineers on automation best practices. Required Qualifications Bachelor's degree in Computer Science, Networking, or a related field. 5+ years of network automation experience. Strong Python programming skills. Solid understanding of routing, switching, and BGP. Experience with Netmiko, Nornir, NAPALM, or Scrapli. Hands-on experience with Ansible, Jinja2, Git, and CI/CD. Familiarity with NetBox, Nautobot, and modern network APIs. Preferred Qualifications Cisco DevNet or similar automation certifications. Experience with Cisco, Arista, or Juniper environments. Knowledge of streaming telemetry, cloud networking, and open-source network automation tools. How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to jaya@bvteck.com or contact us at (908) 505-3545. Learn more about Bright Vision Technologies at www.bvteck.com. 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.

Platform Automation Engineer

Bright Vision Technologies

Issaquah, WA 98027

Platform Automation 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: Platform Automation 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 Infrastructure Automation Engineer with deep Terraform expertise to design, build, and maintain the infrastructure-as-code foundations that power our cloud and hybrid environments. This role focuses on creating reusable Terraform modules, hardening pipelines, enforcing policy-as-code, and standardizing infrastructure delivery across multiple teams and cloud providers. The ideal candidate brings strong software engineering discipline to infrastructure work, has shipped production-grade Terraform at scale, and understands the operational realities of managing thousands of resources across many environments and accounts. Key Responsibilities Design, develop, and maintain modular, composable Terraform code that codifies the entire infrastructure estate across cloud accounts and environments. Build a library of well-tested, reusable Terraform modules with clear interfaces, semantic versioning, and comprehensive documentation. Implement Terraform automation pipelines using GitHub Actions, GitLab CI, Atlantis, Terraform Cloud, or Spacelift, with plan/apply gating, drift detection, and policy enforcement. Define and enforce policy-as-code using Sentinel, Open Policy Agent (OPA), Conftest, or Checkov to prevent insecure or non-compliant infrastructure changes. Manage Terraform state at scale with appropriate backend strategies, state locking, workspace organization, and disaster recovery patterns. Drive multi-account, multi-region, and multi-cloud infrastructure provisioning strategies with clear isolation, naming, and tagging standards. Implement infrastructure testing including unit tests with terraform-compliance, integration tests with Terratest, and policy tests across pull requests. Collaborate with security, networking, and platform teams to embed guardrails directly into reusable modules and pipelines. Standardize patterns for secrets management, identity federation, and least-privilege IAM through reusable Terraform abstractions. Lead migrations from legacy, ClickOps, or non-IaC infrastructure into managed Terraform footprints with minimal disruption. Drive cost optimization, tagging hygiene, and lifecycle management across the Terraform-managed estate. Mentor engineering teams on Terraform best practices, anti-patterns, and pull-request review standards. Maintain comprehensive runbooks, architecture diagrams, and onboarding materials for the infrastructure platform. Stay current with Terraform, OpenTofu, and broader IaC ecosystem developments and recommend adoption where beneficial. Required Qualifications Bachelor’s degree in Computer Science, Engineering, or a related field. Five or more years of experience in cloud infrastructure or DevOps engineering, with significant Terraform focus. Deep, hands-on expertise authoring and maintaining production Terraform across at least one major cloud provider. Strong experience designing reusable Terraform modules with clean APIs and version discipline. Hands-on experience with Terraform state management, backends, and large-scale workspace organization. Strong scripting skills in Python, Go, or Bash. Experience with CI/CD pipelines for infrastructure code and automated policy enforcement. Solid understanding of cloud networking, identity, and security primitives. Strong Git-based workflows including code review, branching, and release management. Excellent troubleshooting and root-cause analysis skills. Preferred Qualifications Experience with multi-cloud Terraform (AWS + Azure or AWS + GCP). Familiarity with Terragrunt, Atlantis, Spacelift, or env0. Experience with policy-as-code engines (Sentinel, OPA, Checkov). Contributions to public Terraform modules or providers. Exposure to FinOps practices and tagging-driven cost governance. How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to Jenny@bvteck.com or contact us at (908) 505-3544. Learn more about Bright Vision Technologies at www.bvteck.com . 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.

Platform Reliability Engineer

Bright Vision Technologies

Bothell, WA 98011

Platform Reliability 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: Platform Reliability 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 Platform Reliability Engineer to ensure the availability, performance, and operational excellence of large-scale distributed systems in production. As an SRE you will live at the boundary between development and operations, applying strong software engineering principles to infrastructure and operations problems, and continually pushing the platform toward higher reliability with lower operational toil. The ideal candidate will combine deep systems knowledge with strong programming skills, a measurement-driven mindset, and the discipline to design, automate, and operate complex services so that reliability becomes a first-class engineering deliverable rather than a reactive concern. Required Qualifications Bachelor’s degree in Computer Science, Engineering, or a related technical discipline. Five or more years of SRE, DevOps, or production engineering experience supporting large-scale distributed systems. Strong programming skills in at least one of Python, Go, or Java, with the ability to build robust automation and tooling. Deep, hands-on experience operating Linux at scale, including networking, performance tuning, and systems-level troubleshooting. Production experience operating Kubernetes and container-based workloads. Strong working knowledge of observability tooling such as Prometheus, Grafana, OpenTelemetry, ELK/EFK, or commercial equivalents. Hands-on experience designing and operating CI/CD pipelines for both infrastructure and applications. Solid understanding of distributed system design, including consistency models, partitioning, and failure semantics. Demonstrated experience leading incident response and conducting effective post-incident reviews. Excellent communication and documentation skills. Preferred Qualifications Experience defining and operationalizing SLOs and error budgets in real production environments. Exposure to chaos engineering practices and tools such as Chaos Monkey, Gremlin, or Litmus. Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP). Background in capacity planning, performance engineering, or large-scale load testing. Familiarity with service mesh technologies such as Istio, Linkerd, or Consul. How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to jenny@bvteck.com or contact us at (908) 505-3544. Learn more about Bright Vision Technologies at www.bvteck.com. 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.

Red Hat OpenShift Engineer

Bright Vision Technologies

Charlotte — Ballantyne, NC 28277

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: Red Hat OpenShift Engineer Location: 1 00% 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 Bright Vision Technologies is seeking an experienced Red Hat OpenShift Engineer to design, deploy, and manage enterprise-grade OpenShift platforms across on-premises and cloud environments. The ideal candidate will have expertise in OpenShift, Kubernetes, Linux, automation, and CI/CD . Key Responsibilities Design, deploy, and manage Red Hat OpenShift clusters. Automate cluster provisioning, upgrades, and lifecycle management using Ansible, Terraform, Helm, and GitOps (Argo CD) . Configure networking, storage, security, and multi-tenant OpenShift environments. Build and maintain CI/CD pipelines using Tekton, Jenkins, GitLab CI, or Argo CD . Implement monitoring, logging, disaster recovery, and platform security. Collaborate with development teams, optimize workloads, and mentor junior engineers. Required Qualifications Bachelor's degree in Computer Science, Engineering, or a related field. 5+ years of container platform experience, including 3+ years with Red Hat OpenShift . Strong knowledge of Kubernetes, OpenShift, Linux, and container networking . Experience with Ansible, Terraform, or Helm . Hands-on experience with CI/CD, Bash, Python, or Go scripting. Strong troubleshooting, communication, and documentation skills. Preferred Qualifications Red Hat OpenShift certification. Experience with AWS, Azure, or GCP . Knowledge of Service Mesh (Istio/Linkerd) , GitOps, and regulated environments (HIPAA, PCI-DSS, SOC 2). How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to jaya@bvteck.com or contact us at (908) 505-3545. Learn more about Bright Vision Technologies at www.bvteck.com. 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.

Salesforce Middleware Architect

Bright Vision Technologies

Round Rock, TX 78681

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: Salesforce Middleware Architect Location: 100% Remote (U.S.) Position Type: Full-time, Direct W2 Salary Range: $150,000–$175,000 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 a Salesforce Middleware Architect to design and govern integrations between Salesforce and the broader enterprise application landscape. The role focuses on integration architecture, middleware selection, API strategy, and event-driven patterns that connect Salesforce reliably with ERP, data, marketing, and operational systems. The ideal candidate has architected Salesforce integration solutions at meaningful scale and brings deep familiarity with both Salesforce-native and enterprise middleware approaches. In this role you will work closely with cross-functional partners — product, design, engineering, operations, and business stakeholders — to translate ambiguous requirements into well-engineered solutions, and will be expected to raise the bar through code review, design review, and mentorship of more junior engineers. The successful candidate brings strong engineering discipline, a clear communication style, and a track record of shipping meaningful work that holds up well in production. Required Qualifications Bachelor’s or Master’s degree in Computer Science or a related field. Eight or more years of Salesforce experience, with significant time on complex integrations. Deep understanding of Salesforce APIs, Platform Events, and Change Data Capture. Hands-on experience with at least one major iPaaS such as MuleSoft, Boomi, or Informatica. Strong understanding of integration patterns and enterprise application architecture. Experience designing data synchronization strategies with ERP and operational systems. Strong understanding of identity, OAuth, and integration security. Excellent communication and stakeholder management skills. Salesforce Certified Integration Architect credential. Track record of leading large Salesforce integration programs. Preferred Qualifications MuleSoft Certified Platform Architect. Experience with event-driven integration platforms (Kafka, Solace, Confluent). Familiarity with Industry Clouds and their data-integration nuances. Exposure to high-volume integration scenarios (10M+ records/day). Experience integrating Salesforce with SAP, Oracle, or NetSuite ERP systems. How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to Harry@bvteck.com or contact us at (908)676-4399. Learn more about Bright Vision Technologies at www.bvteck.com . 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.

Salesforce Platform Developer

Bright Vision Technologies

Bothell, WA 98011

Salesforce Platform Developer - 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: Salesforce Platform Developer 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 a Salesforce Technical Developer to design and build production-grade Salesforce solutions using Apex, Lightning Web Components, Flow, and integration platforms. The role is deeply hands-on, with responsibility for delivering custom business logic, integrations, user interfaces, and automation that meet complex enterprise requirements while respecting platform limits and long-term maintainability. The ideal candidate has shipped meaningful Salesforce work in production, writes idiomatic Apex and modern LWC, and balances declarative-first thinking with the willingness to write code where it provides clear value. Required Qualifications Bachelor’s degree in Computer Science or a related field. Five or more years of hands-on Salesforce development experience. Deep expertise in Apex, SOQL, SOSL, and platform limits. Strong proficiency in Lightning Web Components and modern JavaScript. Experience with Salesforce integrations using REST/SOAP APIs. Hands-on experience with Flow and declarative automation. Strong understanding of Salesforce data model and sharing. Experience with Salesforce DX and modern source-driven development. Salesforce Platform Developer I certification. Strong troubleshooting and analytical skills. Preferred Qualifications Salesforce Platform Developer II certification. Experience with Industry Clouds (Financial Services, Health, Manufacturing). Familiarity with MuleSoft or other middleware platforms. Exposure to Einstein AI or Agentforce development. Experience with Experience Cloud (Communities) development. How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to Jenny@bvteck.com or contact us at (908) 505-3544. Learn more about Bright Vision Technologies at www.bvteck.com . 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.

Salesforce Technical Consultant

Bright Vision Technologies

Round Rock, TX 78681

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: Salesforce Technical Consultant Location: 100% Remote (U.S.) Position Type: Full-time, Direct W2 Salary Range: $130,000–$145,000 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 a Salesforce Technical Consultant to design and build production-grade Salesforce solutions using Apex, Lightning Web Components, Flow, and integration platforms. The role is deeply hands-on, with responsibility for delivering custom business logic, integrations, user interfaces, and automation that meet complex enterprise requirements while respecting platform limits and long-term maintainability. The ideal candidate has shipped meaningful Salesforce work in production, writes idiomatic Apex and modern LWC, and balances declarative-first thinking with the willingness to write code where it provides clear value. Required Qualifications Bachelor’s degree in Computer Science or a related field. Five or more years of hands-on Salesforce development experience. Deep expertise in Apex, SOQL, SOSL, and platform limits. Strong proficiency in Lightning Web Components and modern JavaScript. Experience with Salesforce integrations using REST/SOAP APIs. Hands-on experience with Flow and declarative automation. Strong understanding of Salesforce data model and sharing. Experience with Salesforce DX and modern source-driven development. Salesforce Platform Developer I certification. Strong troubleshooting and analytical skills. Preferred Qualifications Salesforce Platform Developer II certification. Experience with Industry Clouds (Financial Services, Health, Manufacturing). Familiarity with MuleSoft or other middleware platforms. Exposure to Einstein AI or Agentforce development. Experience with Experience Cloud (Communities) development. How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to Harry@bvteck.com or contact us at (908)676-4399. Learn more about Bright Vision Technologies at www.bvteck.com . 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.