{"schemaVersion":"jobsearcher.job.v1","id":"6061137d7e9ee8fc9f298f36","url":"https://jobsearcher.com/jobs/6061137d7e9ee8fc9f298f36","canonicalUrl":"https://jobsearcher.com/jobs/6061137d7e9ee8fc9f298f36","title":"Platform engineer, MLOps","description":"Location\nSan Francisco, CA (hybrid)\nEmployment Type\nFull time\nLocation Type\nHybrid\nDepartment\nEngineering, product, and design\n\nAbout this role\nAs a Platform engineer, MLOps, you will be critical to deploying and managing cutting-edge infrastructure crucial for AI/ML operations, and you will collaborate with AI/ML engineers and researchers to develop a robust CI/CD pipeline that supports safe and reproducible experiments. Your expertise will also extend to setting up and maintaining monitoring, logging, and alerting systems to oversee extensive training runs and client-facing APIs. You will ensure that training environments are optimally available and efficiently managed across multiple clusters, enhancing our containerization and orchestration systems with advanced tools like Docker and Kubernetes.\nThis role demands a proactive approach to maintaining large Kubernetes clusters, optimizing system performance, and providing operational support for our suite of software solutions. If you are driven by challenges and motivated by the continuous pursuit of innovation, this role offers the opportunity to make a significant impact in a dynamic, fast-paced environment.\n️ Your responsibilities:\nWork closely with AI/ML engineers and researchers to design and deploy a CI/CD pipeline that ensures safe and reproducible experiments.\nSet up and manage monitoring, logging, and alerting systems for extensive training runs and client-facing APIs.\nEnsure training environments are consistently available and prepared across multiple clusters.\nDevelop and manage containerization and orchestration systems utilizing tools such as Docker and Kubernetes.\nOperate and oversee large Kubernetes clusters with GPU workloads.\nImprove reliability, quality, and time-to-market of our suite of software solutions\nMeasure and optimize system performance, with an eye toward pushing our capabilities forward, getting ahead of customer needs, and innovating for continual improvement\nProvide primary operational support and engineering for multiple large-scale distributed software applications\n️ Is this you?\nYou have professional experience with:\nModel training\nHuggingface Transformers\nPytorch\nLLM\nTensorRT\nInfrastructure as code tools like Terraform\nScripting languages such as Python or Bash\nCloud platforms such as Google Cloud, AWS or Azure\nGit and GitHub workflows\nTracing and Monitoring\nFamiliar with high-performance, large-scale ML systems\nYou have a knack for troubleshooting complex systems and enjoy solving challenging problems\nProactive in identifying problems, performance bottlenecks, and areas for improvement\nTake pride in building and operating scalable, reliable, secure systems\nFamiliar with monitoring tools such as Prometheus, Grafana, or similar\nAre comfortable with ambiguity and rapid change\nPreferred skills and experience:\nFamiliar with monitoring tools such as Prometheus, Grafana, or similar\n5+ years building core infrastructure\nExperience running inference clusters at scale\nExperience operating orchestration systems such as Kubernetes at scale\n#LI-Hybrid\n\nBenefits & perks (US Full-time employees)\nGenerous PTO, plus company holidays\nMedical, dental, and vision coverage for you and your family\nPaid parental leave for all parents (12 weeks)\nFertility and family planning support\nEarly-detection cancer testing through Galleri\nFlexible spending account and dependent FSA options\nHealth savings account for eligible plans with company contribution\nAnnual work-life stipends for:\nHome office setup, cell phone, internet\nWellness stipend for gym, massage/chiropractor, personal training, etc.\nLearning and development stipend\nCompany-wide off-sites and team off-sites\nCompetitive compensation, company stock options and 401k\nWRITER is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.","company":"Writer","rawCompany":"writer","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-04-12T21:26:12.911Z","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":"15-1299.00","title":"Computer Occupations, All Other","slug":"computer-occupations-all-other"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Platform engineer, MLOps","description":"Location\nSan Francisco, CA (hybrid)\nEmployment Type\nFull time\nLocation Type\nHybrid\nDepartment\nEngineering, product, and design\n\nAbout this role\nAs a Platform engineer, MLOps, you will be critical to deploying and managing cutting-edge infrastructure crucial for AI/ML operations, and you will collaborate with AI/ML engineers and researchers to develop a robust CI/CD pipeline that supports safe and reproducible experiments. Your expertise will also extend to setting up and maintaining monitoring, logging, and alerting systems to oversee extensive training runs and client-facing APIs. You will ensure that training environments are optimally available and efficiently managed across multiple clusters, enhancing our containerization and orchestration systems with advanced tools like Docker and Kubernetes.\nThis role demands a proactive approach to maintaining large Kubernetes clusters, optimizing system performance, and providing operational support for our suite of software solutions. If you are driven by challenges and motivated by the continuous pursuit of innovation, this role offers the opportunity to make a significant impact in a dynamic, fast-paced environment.\n️ Your responsibilities:\nWork closely with AI/ML engineers and researchers to design and deploy a CI/CD pipeline that ensures safe and reproducible experiments.\nSet up and manage monitoring, logging, and alerting systems for extensive training runs and client-facing APIs.\nEnsure training environments are consistently available and prepared across multiple clusters.\nDevelop and manage containerization and orchestration systems utilizing tools such as Docker and Kubernetes.\nOperate and oversee large Kubernetes clusters with GPU workloads.\nImprove reliability, quality, and time-to-market of our suite of software solutions\nMeasure and optimize system performance, with an eye toward pushing our capabilities forward, getting ahead of customer needs, and innovating for continual improvement\nProvide primary operational support and engineering for multiple large-scale distributed software applications\n️ Is this you?\nYou have professional experience with:\nModel training\nHuggingface Transformers\nPytorch\nLLM\nTensorRT\nInfrastructure as code tools like Terraform\nScripting languages such as Python or Bash\nCloud platforms such as Google Cloud, AWS or Azure\nGit and GitHub workflows\nTracing and Monitoring\nFamiliar with high-performance, large-scale ML systems\nYou have a knack for troubleshooting complex systems and enjoy solving challenging problems\nProactive in identifying problems, performance bottlenecks, and areas for improvement\nTake pride in building and operating scalable, reliable, secure systems\nFamiliar with monitoring tools such as Prometheus, Grafana, or similar\nAre comfortable with ambiguity and rapid change\nPreferred skills and experience:\nFamiliar with monitoring tools such as Prometheus, Grafana, or similar\n5+ years building core infrastructure\nExperience running inference clusters at scale\nExperience operating orchestration systems such as Kubernetes at scale\n#LI-Hybrid\n\nBenefits & perks (US Full-time employees)\nGenerous PTO, plus company holidays\nMedical, dental, and vision coverage for you and your family\nPaid parental leave for all parents (12 weeks)\nFertility and family planning support\nEarly-detection cancer testing through Galleri\nFlexible spending account and dependent FSA options\nHealth savings account for eligible plans with company contribution\nAnnual work-life stipends for:\nHome office setup, cell phone, internet\nWellness stipend for gym, massage/chiropractor, personal training, etc.\nLearning and development stipend\nCompany-wide off-sites and team off-sites\nCompetitive compensation, company stock options and 401k\nWRITER is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.","datePosted":"2026-04-12T21:26:12.911Z","dateModified":"2026-04-12T21:26:12.911Z","hiringOrganization":{"@type":"Organization","name":"Writer","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"6061137d7e9ee8fc9f298f36"},"url":"https://jobsearcher.com/jobs/6061137d7e9ee8fc9f298f36"}}