{"schemaVersion":"jobsearcher.job.v1","id":"dfee49b697f348d4b90ded7f","url":"https://jobsearcher.com/jobs/dfee49b697f348d4b90ded7f","canonicalUrl":"https://jobsearcher.com/jobs/dfee49b697f348d4b90ded7f","title":"Backend Platform Engineer - AI Operations Platform","description":"OverviewIn this role you will design, build, and scale production-grade backend systems and multi-tenant AI ops infrastructure. You'll integrate backend tools, databases, and AI wrappers to support both modern and legacy environments across teams. You'll work on high-throughput microservices and API layers, bridging platform innovation with existing systems. This is a hands-on, pragmatic engineering role with impact across critical business capabilities, delivering reliable tools at scale.Compensation / Benefitsbest-in-class Benefitscompetitive total rewardsbonus eligibilitycommission eligibility for sales roleson-site collaboration optionsResponsibilitiesArchitect and scale a multi-tenant AI Ops platform by integrating backend services, runtime engines, and developer toolsSet engineering standards and recommend technology choices for platform consumptionDesign end-to-end technical solutions and collaborate with external and cross-functional teams on integrationsDevelop high-concurrency GraphQL and REST APIs for core platform communicationsBuild resilient microservices with clear abstraction layers and event-driven patternsCreate wrappers, gateways, and middleware around AI/ML models for scalable operational toolsDesign, optimize, and maintain relational and NoSQL databases for high-throughput workloadsImplement telemetry, logging, and performance metrics for observabilityContainerize and deploy services using modern CI/CD pipelines and orchestration toolsKey requirements5+ years designing, scaling, and operating distributed backend systems and microservicesProven experience designing GraphQL and REST APIsHands-on experience deploying and scaling AI/ML use cases and API wrappersExperience with relational (PostgreSQL) and/or NoSQL databases at scaleAdvanced proficiency in Python (and/or Go, Java, or C++)Ability to architect complex systems and collaborate with external teamsteamworkcommunicationcustomer-focusGraphQLREST APIsdistributed backend systems","company":"Comcast","rawCompany":"comcast","city":"McLean","state":"VA","isRemote":false,"isActive":false,"createdAt":"2026-10-26T13:17:12.146Z","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":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Backend Platform Engineer - AI Operations Platform","description":"OverviewIn this role you will design, build, and scale production-grade backend systems and multi-tenant AI ops infrastructure. You'll integrate backend tools, databases, and AI wrappers to support both modern and legacy environments across teams. You'll work on high-throughput microservices and API layers, bridging platform innovation with existing systems. This is a hands-on, pragmatic engineering role with impact across critical business capabilities, delivering reliable tools at scale.Compensation / Benefitsbest-in-class Benefitscompetitive total rewardsbonus eligibilitycommission eligibility for sales roleson-site collaboration optionsResponsibilitiesArchitect and scale a multi-tenant AI Ops platform by integrating backend services, runtime engines, and developer toolsSet engineering standards and recommend technology choices for platform consumptionDesign end-to-end technical solutions and collaborate with external and cross-functional teams on integrationsDevelop high-concurrency GraphQL and REST APIs for core platform communicationsBuild resilient microservices with clear abstraction layers and event-driven patternsCreate wrappers, gateways, and middleware around AI/ML models for scalable operational toolsDesign, optimize, and maintain relational and NoSQL databases for high-throughput workloadsImplement telemetry, logging, and performance metrics for observabilityContainerize and deploy services using modern CI/CD pipelines and orchestration toolsKey requirements5+ years designing, scaling, and operating distributed backend systems and microservicesProven experience designing GraphQL and REST APIsHands-on experience deploying and scaling AI/ML use cases and API wrappersExperience with relational (PostgreSQL) and/or NoSQL databases at scaleAdvanced proficiency in Python (and/or Go, Java, or C++)Ability to architect complex systems and collaborate with external teamsteamworkcommunicationcustomer-focusGraphQLREST APIsdistributed backend systems","datePosted":"2026-10-26T13:17:12.146Z","dateModified":"2026-10-26T13:17:12.146Z","hiringOrganization":{"@type":"Organization","name":"Comcast","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"McLean","addressRegion":"VA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"dfee49b697f348d4b90ded7f"},"url":"https://jobsearcher.com/jobs/dfee49b697f348d4b90ded7f"}}