{"schemaVersion":"jobsearcher.job.v1","id":"7f3ab1e9a398974e4833ff0e","url":"https://jobsearcher.com/jobs/7f3ab1e9a398974e4833ff0e","canonicalUrl":"https://jobsearcher.com/jobs/7f3ab1e9a398974e4833ff0e","title":"Data Platform Engineer","description":"Data Platform Engineer – RemoteBright 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: Data Platform EngineerLocation: 100% Remote (United States)Position Type: Full-time, Direct W2Salary Range: $100,000–$150,000 AnnuallyExperience: 6+ yearsSponsorship: 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 SummaryWe are seeking a Data Platform Engineer to design, build, and operate high-performance, highly reliable inference platforms for serving large machine learning models in production. The role focuses on the systems engineering side of AI deployment, including request routing, batching, caching, autoscaling, GPU utilization, and end-to-end observability across diverse model workloads. The ideal candidate brings strong distributed systems and performance engineering expertise, has shipped serving systems at scale, and understands the trade-offs between latency, throughput, cost, and quality in ML serving.Key ResponsibilitiesDesign and operate model serving platforms supporting diverse workloads including LLMs, vision models, and recommendation systemsOptimize inference performance using continuous batching, paged attention, speculative decoding, and request multiplexingImplement multi-tenant routing, rate limiting, and quality-of-service policies across model endpointsBuild autoscaling and capacity management systems that balance latency, throughput, and costTune GPU utilization, memory management, and KV cache strategies for LLM serving workloadsIntegrate model serving with API gateways, identity systems, and observability platformsImplement caching, prompt deduplication, and response reuse strategies where appropriateDrive end-to-end observability including latency histograms, queue dynamics, GPU utilization, and error trackingDevelop deployment workflows including canary releases, shadow testing, and automated rollbackOperate incident response for high-availability AI services and drive durable reliability improvementsCollaborate with ML and product teams to support new model releases and capability rolloutsImplement security controls including request signing, content filtering, and abuse detection at the serving layerDocument operational procedures, performance characteristics, and tuning guidance for internal teamsStay current with AI serving research and translate advances into production capabilitiesRequired QualificationsBachelor’s or Master’s degree in Computer Science or a related fieldSix or more years of experience in distributed systems, infrastructure, or ML platform engineeringStrong proficiency in Python and a systems language such as Go, Rust, or C++Deep experience operating high-throughput, low-latency services in productionHands-on experience with LLM or large model inference frameworks such as vLLM or TensorRT-LLMStrong understanding of GPU architecture, memory hierarchies, and accelerator utilizationFamiliarity with Kubernetes, autoscaling, and modern cloud platformsExperience with observability stacks including metrics, tracing, and structured loggingSolid grounding in performance engineering and capacity planningStrong communication and incident response skillsPreferred QualificationsOpen-source contributions to model serving infrastructureExperience with multi-region or globally distributed AI servingFamiliarity with model quantization, distillation, and compression techniquesExposure to FinOps for AI workloads and cost-efficient serving designExperience supporting external-facing AI APIs at scaleHow to ApplyWould you like to know more about this opportunity? For immediate consideration, please send your resume to boon@bvteck.com or contact us at (908) 650-6699. Learn more about Bright Vision Technologies at www.bvteck.com.Bright Vision Technologies is an Equal Opportunity Employer.Equal Employment Opportunity (EEO) StatementBright 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.Powered by JazzHRW7Gua3FB4D","company":"Bright Vision Technologies","rawCompany":"bright vision technologies","city":"Reston","state":"VA","isRemote":false,"isActive":false,"createdAt":"2026-07-23T12:51:54.811Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Platform Engineer","description":"Data Platform Engineer – RemoteBright 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: Data Platform EngineerLocation: 100% Remote (United States)Position Type: Full-time, Direct W2Salary Range: $100,000–$150,000 AnnuallyExperience: 6+ yearsSponsorship: 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 SummaryWe are seeking a Data Platform Engineer to design, build, and operate high-performance, highly reliable inference platforms for serving large machine learning models in production. The role focuses on the systems engineering side of AI deployment, including request routing, batching, caching, autoscaling, GPU utilization, and end-to-end observability across diverse model workloads. The ideal candidate brings strong distributed systems and performance engineering expertise, has shipped serving systems at scale, and understands the trade-offs between latency, throughput, cost, and quality in ML serving.Key ResponsibilitiesDesign and operate model serving platforms supporting diverse workloads including LLMs, vision models, and recommendation systemsOptimize inference performance using continuous batching, paged attention, speculative decoding, and request multiplexingImplement multi-tenant routing, rate limiting, and quality-of-service policies across model endpointsBuild autoscaling and capacity management systems that balance latency, throughput, and costTune GPU utilization, memory management, and KV cache strategies for LLM serving workloadsIntegrate model serving with API gateways, identity systems, and observability platformsImplement caching, prompt deduplication, and response reuse strategies where appropriateDrive end-to-end observability including latency histograms, queue dynamics, GPU utilization, and error trackingDevelop deployment workflows including canary releases, shadow testing, and automated rollbackOperate incident response for high-availability AI services and drive durable reliability improvementsCollaborate with ML and product teams to support new model releases and capability rolloutsImplement security controls including request signing, content filtering, and abuse detection at the serving layerDocument operational procedures, performance characteristics, and tuning guidance for internal teamsStay current with AI serving research and translate advances into production capabilitiesRequired QualificationsBachelor’s or Master’s degree in Computer Science or a related fieldSix or more years of experience in distributed systems, infrastructure, or ML platform engineeringStrong proficiency in Python and a systems language such as Go, Rust, or C++Deep experience operating high-throughput, low-latency services in productionHands-on experience with LLM or large model inference frameworks such as vLLM or TensorRT-LLMStrong understanding of GPU architecture, memory hierarchies, and accelerator utilizationFamiliarity with Kubernetes, autoscaling, and modern cloud platformsExperience with observability stacks including metrics, tracing, and structured loggingSolid grounding in performance engineering and capacity planningStrong communication and incident response skillsPreferred QualificationsOpen-source contributions to model serving infrastructureExperience with multi-region or globally distributed AI servingFamiliarity with model quantization, distillation, and compression techniquesExposure to FinOps for AI workloads and cost-efficient serving designExperience supporting external-facing AI APIs at scaleHow to ApplyWould you like to know more about this opportunity? For immediate consideration, please send your resume to boon@bvteck.com or contact us at (908) 650-6699. Learn more about Bright Vision Technologies at www.bvteck.com.Bright Vision Technologies is an Equal Opportunity Employer.Equal Employment Opportunity (EEO) StatementBright 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.Powered by JazzHRW7Gua3FB4D","datePosted":"2026-07-23T12:51:54.811Z","dateModified":"2026-07-23T12:51:54.811Z","hiringOrganization":{"@type":"Organization","name":"Bright Vision Technologies","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Reston","addressRegion":"VA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"7f3ab1e9a398974e4833ff0e"},"url":"https://jobsearcher.com/jobs/7f3ab1e9a398974e4833ff0e"}}