{"schemaVersion":"jobsearcher.job.v1","id":"49c0feefeb6aff6b9bf7de76","url":"https://jobsearcher.com/jobs/49c0feefeb6aff6b9bf7de76","canonicalUrl":"https://jobsearcher.com/jobs/49c0feefeb6aff6b9bf7de76","title":"Sr Engineer - MLOps Platform","description":"The pay range is $98,000.00 - $176,000.00\n\nPay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits.\n\nAbout us:\nWorking at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here.\n\nAbout the Role:\nAs a Senior Engineer, you serve as a specialist in the engineering team that supports the product. You help develop and gain insight in the application architecture. You can distill an abstract architecture into concrete design and influence the implementation. You show expertise in applying the appropriate software engineering patterns to build robust and scalable systems. You are an expert in programming and apply your skills in developing the product. You have the skills to design and implement the architecture on your own, but choose to influence your fellow engineers by proposing software designs, providing feedback on software designs and/or implementation. You show good problem solving skills and can help the team in triaging operational issues. You leverage your expertise in eliminating repeat occurrences.\n\nAs a Sr Engineer on the MLOps Platform team, you will help design, build, and evolve an enterprise MLOps platform that enables teams to develop, deploy, and operate machine learning and Generative AI solutions at scale.\n\nYou will combine strong software engineering and platform engineering fundamentals with an understanding of ML and AI workflows. You will partner with Data Scientists, ML Engineers, product managers, and platform teams to build secure, reliable, and easy-to-use capabilities across the AI/ML lifecycle.\n\nThis is a hands-on engineering role focused on building platforms, services, and developer experiences that enable AI/ML teams to move from experimentation to production.\n\nWhat You Will Do:\n\nDesign, build, test, and operate scalable services and capabilities for an enterprise MLOps platform.\nBuild APIs, microservices, and event-driven systems that support ML and Generative AI workflows.\nDevelop platform capabilities for model development, deployment, serving, monitoring, and lifecycle management.\nEnable Generative AI use cases including LLMs, RAG, embeddings, vector search, and agentic applications through reusable platform capabilities.\nIntegrate with cloud AI/ML services, data platforms, model providers, and enterprise systems.\nBuild automation and self-service experiences that improve developer and Data Scientist productivity.\nImplement observability, evaluation, governance, security, and reliability capabilities across the ML lifecycle.\nOptimize platform services for scalability, availability, performance, and cost.\nApply strong engineering practices including automated testing, CI/CD, infrastructure automation, and operational excellence.\nCollaborate across engineering, Data Science, product, security, and infrastructure teams and mentor other engineers through design and code reviews.\n\nCore responsibilities of this job are described within this job description. Job duties may change at any time due to business needs.\n\nAbout You:\n\n5+ years of professional software engineering experience building and operating production systems.\nStrong proficiency in Java or a comparable object-oriented programming language; experience with Python is beneficial.\nExperience with REST APIs, microservices, distributed systems, SQL/NoSQL databases, Docker, Kubernetes, Git, and CI/CD.\nExperience building or supporting platforms, developer tooling, or infrastructure services.\nUnderstanding of the machine learning lifecycle, including experimentation, training, deployment, serving, monitoring, and model management.\nFamiliarity with MLOps practices and technologies for production ML systems.\nExperience with cloud platforms; GCP preferred\nFamiliarity with Generative AI technologies including LLMs, RAG, embeddings, vector databases, and AI agents.\nExperience with monitoring, observability, security, and reliability of production systems.\nAbility to independently design and deliver scalable platform capabilities.\nStrong communication and collaboration skills across engineering, Data Science, product, and platform teams.\n\nDesired Qualifications:\n\nExperience building or operating an enterprise MLOps or AI platform.\nExperience with cloud ML platforms such as Gemini Enterprise Agent Platform (Vertex AI) or equivalent technologies.\nExperience with Kubernetes-based ML infrastructure and model serving.\nExperience enabling Generative AI capabilities through shared platforms or services.\nExperience designing self-service developer platforms, SDKs, APIs, or tooling.\n\nThis position will operate as a Hybrid/Flex for Your Day work arrangement based on Target’s needs. A Hybrid/Flex for Your Day work arrangement means the team member’s core role will need to be performed both onsite at the Target HQ MN location the role is assigned to and virtually, depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target. Click here if you are curious to learn more about Minnesota.\n\nBenefits Eligibility\n\nPlease paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_D\n\nAmericans with Disabilities Act (ADA)\n\nIn compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to candidate.accommodations@HRHelp.Target.com. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel.","company":"Target","rawCompany":"target","city":"Brooklyn Park","state":"MN","isRemote":false,"isActive":false,"createdAt":"2026-08-19T13:26:36.503Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"17-2199.00","title":"Engineers, All Other","slug":"engineers-all-other"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Sr Engineer - MLOps Platform","description":"The pay range is $98,000.00 - $176,000.00\n\nPay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits.\n\nAbout us:\nWorking at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here.\n\nAbout the Role:\nAs a Senior Engineer, you serve as a specialist in the engineering team that supports the product. You help develop and gain insight in the application architecture. You can distill an abstract architecture into concrete design and influence the implementation. You show expertise in applying the appropriate software engineering patterns to build robust and scalable systems. You are an expert in programming and apply your skills in developing the product. You have the skills to design and implement the architecture on your own, but choose to influence your fellow engineers by proposing software designs, providing feedback on software designs and/or implementation. You show good problem solving skills and can help the team in triaging operational issues. You leverage your expertise in eliminating repeat occurrences.\n\nAs a Sr Engineer on the MLOps Platform team, you will help design, build, and evolve an enterprise MLOps platform that enables teams to develop, deploy, and operate machine learning and Generative AI solutions at scale.\n\nYou will combine strong software engineering and platform engineering fundamentals with an understanding of ML and AI workflows. You will partner with Data Scientists, ML Engineers, product managers, and platform teams to build secure, reliable, and easy-to-use capabilities across the AI/ML lifecycle.\n\nThis is a hands-on engineering role focused on building platforms, services, and developer experiences that enable AI/ML teams to move from experimentation to production.\n\nWhat You Will Do:\n\nDesign, build, test, and operate scalable services and capabilities for an enterprise MLOps platform.\nBuild APIs, microservices, and event-driven systems that support ML and Generative AI workflows.\nDevelop platform capabilities for model development, deployment, serving, monitoring, and lifecycle management.\nEnable Generative AI use cases including LLMs, RAG, embeddings, vector search, and agentic applications through reusable platform capabilities.\nIntegrate with cloud AI/ML services, data platforms, model providers, and enterprise systems.\nBuild automation and self-service experiences that improve developer and Data Scientist productivity.\nImplement observability, evaluation, governance, security, and reliability capabilities across the ML lifecycle.\nOptimize platform services for scalability, availability, performance, and cost.\nApply strong engineering practices including automated testing, CI/CD, infrastructure automation, and operational excellence.\nCollaborate across engineering, Data Science, product, security, and infrastructure teams and mentor other engineers through design and code reviews.\n\nCore responsibilities of this job are described within this job description. Job duties may change at any time due to business needs.\n\nAbout You:\n\n5+ years of professional software engineering experience building and operating production systems.\nStrong proficiency in Java or a comparable object-oriented programming language; experience with Python is beneficial.\nExperience with REST APIs, microservices, distributed systems, SQL/NoSQL databases, Docker, Kubernetes, Git, and CI/CD.\nExperience building or supporting platforms, developer tooling, or infrastructure services.\nUnderstanding of the machine learning lifecycle, including experimentation, training, deployment, serving, monitoring, and model management.\nFamiliarity with MLOps practices and technologies for production ML systems.\nExperience with cloud platforms; GCP preferred\nFamiliarity with Generative AI technologies including LLMs, RAG, embeddings, vector databases, and AI agents.\nExperience with monitoring, observability, security, and reliability of production systems.\nAbility to independently design and deliver scalable platform capabilities.\nStrong communication and collaboration skills across engineering, Data Science, product, and platform teams.\n\nDesired Qualifications:\n\nExperience building or operating an enterprise MLOps or AI platform.\nExperience with cloud ML platforms such as Gemini Enterprise Agent Platform (Vertex AI) or equivalent technologies.\nExperience with Kubernetes-based ML infrastructure and model serving.\nExperience enabling Generative AI capabilities through shared platforms or services.\nExperience designing self-service developer platforms, SDKs, APIs, or tooling.\n\nThis position will operate as a Hybrid/Flex for Your Day work arrangement based on Target’s needs. A Hybrid/Flex for Your Day work arrangement means the team member’s core role will need to be performed both onsite at the Target HQ MN location the role is assigned to and virtually, depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target. Click here if you are curious to learn more about Minnesota.\n\nBenefits Eligibility\n\nPlease paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_D\n\nAmericans with Disabilities Act (ADA)\n\nIn compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to candidate.accommodations@HRHelp.Target.com. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel.","datePosted":"2026-08-19T13:26:36.503Z","dateModified":"2026-08-19T13:26:36.503Z","hiringOrganization":{"@type":"Organization","name":"Target","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Brooklyn Park","addressRegion":"MN","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"49c0feefeb6aff6b9bf7de76"},"url":"https://jobsearcher.com/jobs/49c0feefeb6aff6b9bf7de76"}}