Sr Engineer - MLOps Platform

As 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.

As 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.

You 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.

This 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.

What You Will Do:

• Design, build, test, and operate scalable services and capabilities for an enterprise MLOps platform.

• Build APIs, microservices, and event-driven systems that support ML and Generative AI workflows.

• Develop platform capabilities for model development, deployment, serving, monitoring, and lifecycle management.

• Enable Generative AI use cases including LLMs, RAG, embeddings, vector search, and agentic applications through reusable platform capabilities.

• Integrate with cloud AI/ML services, data platforms, model providers, and enterprise systems.

• Build automation and self-service experiences that improve developer and Data Scientist productivity.

• Implement observability, evaluation, governance, security, and reliability capabilities across the ML lifecycle.

• Optimize platform services for scalability, availability, performance, and cost.

• Apply strong engineering practices including automated testing, CI/CD, infrastructure automation, and operational excellence.

• Collaborate across engineering, Data Science, product, security, and infrastructure teams and mentor other engineers through design and code reviews.

Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs.

• 5+ years of professional software engineering experience building and operating production systems.

• Strong proficiency in Java or a comparable object-oriented programming language; experience with Python is beneficial.

• Experience with REST APIs, microservices, distributed systems, SQL/NoSQL databases, Docker, Kubernetes, Git, and CI/CD.

• Experience building or supporting platforms, developer tooling, or infrastructure services.

• Understanding of the machine learning lifecycle, including experimentation, training, deployment, serving, monitoring, and model management.

• Familiarity with MLOps practices and technologies for production ML systems.

• Experience with cloud platforms; GCP preferred

• Familiarity with Generative AI technologies including LLMs, RAG, embeddings, vector databases, and AI agents.

• Experience with monitoring, observability, security, and reliability of production systems.

• Ability to independently design and deliver scalable platform capabilities.

• Strong communication and collaboration skills across engineering, Data Science, product, and platform teams.

Desired Qualifications:

• Experience building or operating an enterprise MLOps or AI platform.

• Experience with cloud ML platforms such as Gemini Enterprise Agent Platform (Vertex AI) or equivalent technologies.

• Experience with Kubernetes-based ML infrastructure and model serving.

• Experience enabling Generative AI capabilities through shared platforms or services.

• Experience designing self-service developer platforms, SDKs, APIs, or tooling., Please paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_D

In 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.

Competitive benefits

We are proud to provide benefits that support you, your family and your future.

Health and well-being

Target offers comprehensive medical, dental and vision insurance plans. Plus, get free 24/7 virtual care and mental health support.

Financial well-being

Your financial future is bright with TGT 401(k) offering 5% eligible contribution matching and more discount and reimbursement programs.

Paid time off

Target encourages work-life balance by offering eligible team members vacation time and paid national holidays, sick time and family leave.

Education assistance

Target’s industry-leading education assistance benefit, Dream to Be, offers tuition-free programs to support your growth.

Market-leading pay

Target is a proud pay leader in retail and highly competitive with other large companies, providing equitable and competitive pay for all.

Team Target discount

Team members get a 10% discount at all Target stores and Target.com, along with 20% off wellness products and 20% off adult owned-brand apparel and accessories. Plus, get an additional 5% savings with a Target Circle Card. More about pay & benefits

Eligibility requirements may vary based on position, average hours worked, length of service and program requirements. Benefits are subject to change.

Working 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.