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Target

Senior Engineer – MLOps Platform

Target

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

Posted 9/15/2026full-timeBrooklyn Park • Minnesota • United StatesSenior💰 $98,000 - $176,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and operating scalable MLOps platforms, with a strong focus on Generative AI technologies and the machine learning lifecycle. Proficient in developing APIs, microservices, and automation tools to enhance developer productivity and system reliability.

Highest-signal resume keywords
MLOps PracticesJava ProgrammingREST APIsKubernetesGenerative AI Technologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Software EngineeringMicroservicesSQL DatabasesNoSQL DatabasesCI/CDInfrastructure AutomationModel ManagementObservabilityMonitoringSecurity
Soft Skills
CommunicationCollaborationMentoring
Tools & Technologies
DockerGitGCPVertex AIKubernetes-based ML Infrastructure
Industry Keywords
Machine Learning LifecycleGenerative AIEvent-Driven SystemsDeveloper ToolingEnterprise Systems

Tech Stack

Tools & technologies
CloudDistributed SystemsDockerGoogle Cloud PlatformJavaKubernetesMicroservicesNoSQLPythonSQL

About the role

Key responsibilities & impact
  • Design, build, test, and operate scalable services and capabilities for an enterprise MLOps platform
  • Build APIs, microservices, and event-driven systems supporting 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 to 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 automated testing, CI/CD, infrastructure automation, and operational excellence practices
  • Collaborate across engineering, Data Science, product, security, and infrastructure teams
  • Mentor other engineers through design and code reviews
  • Triage operational issues and eliminate repeat occurrences

Requirements

What you’ll need
  • 5+ years of professional software engineering experience building and operating production systems
  • Strong proficiency in Java or a comparable object-oriented programming language; Python experience 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
  • 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

Benefits

Comp & perks
  • Comprehensive health benefits and programs, which may include medical, vision, dental, and life insurance
  • 401(k)
  • Employee discount
  • Short-term disability
  • Long-term disability
  • Paid sick leave
  • Paid national holidays
  • Paid vacation
  • Financial, education, and well-being benefits and programs