Senior Release Train Engineer

UnitedHealth Group•Eden Prairie, MN

3h•$91,700 - $163,700•Remote

About The Position

As a Software Engineer/Release Train Engineer within Optum Technology’s Enterprise Digital Experience Tech team, this role drives end-to-end delivery, integration, and operational excellence for enterprise finance AI and data solutions. It leads cross-functional execution across software engineering, data, AI, security, and business teams, delivering scalable, secure, and reliable solutions from concept through production. The role uses modern cloud architecture, release automation, and data and AI technologies to streamline enterprise finance operations and accelerate business value. The position offers the flexibility to telecommute from anywhere within the U.S., subject to UnitedHealth Group’s Telecommuter Policy.

Requirements

At least 5 years of experience in software engineering, technical delivery, release management, or related technical leadership roles.
At least 2 years of experience with modern software development practices, APIs, cloud platforms, CI/CD, and DevOps tooling.
At least 1 year of experience leading large-scale, cross-functional technology initiatives and release planning in agile environments.
At least 1 year of strong stakeholder management, communication, and facilitation skills, with the ability to balance delivery velocity with governance, quality, and platform stability.
Pass a drug test before beginning employment.

Nice To Haves

Bachelor’s degree or equivalent experience; alternatively, 4 or more additional years of software engineering or technical delivery experience in lieu of a degree.
Experience serving as a Release Train Engineer (RTE), Technical Program Manager, Engineering Lead, or Solution Delivery Lead.
Experience supporting finance, FP&A, accounting, treasury, tax, or corporate reporting functions.
Experience deploying AI, machine learning, or generative AI solutions within a large enterprise environment.
Familiarity with Azure DevOps, GitHub, Jira, or similar delivery management platforms.
Solid understanding of enterprise security, privacy, compliance, and operational risk management.
Familiarity with modern data and AI architectures, including cloud data platforms, APIs, vector databases, semantic retrieval, or generative AI solutions.

Responsibilities

Lead end-to-end delivery of finance technology initiatives, coordinating software engineering, data engineering, AI engineering, architecture, and business stakeholders.
Drive release planning, dependency management, risk mitigation, and execution cadence across multiple agile teams.
Ensure solutions use scalable, secure, maintainable software design and architecture practices.
Partner with Data Engineers and AI Engineers to integrate data pipelines, semantic layers, RAG capabilities, vector databases, and AI services into production solutions.
Establish and manage CI/CD pipelines, release governance, deployment automation, and operational readiness processes.
Coordinate with security, privacy, compliance, and governance teams to ensure solutions meet enterprise standards.
Implement monitoring, observability, automated testing, quality controls, and incident management processes to maintain platform reliability.
Support experimentation, A/B testing, value measurement, and production rollout strategies for AI-enabled platform capabilities.
Drive documentation, knowledge transfer, and transition to steady-state support and operations.
Mentor engineering teams in agile delivery, DevOps, and engineering best practices.
Use enterprise-approved AI tools to streamline workflows and automate repetitive tasks, applying responsible review practices to ensure the quality and accuracy of technical deliverables.