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Lead Software Engineer Remote

$112.7k - $193.2k
Full-time

UnitedHealth Group

Salary: $112,700 - 193,200 per year Requirements:

  • We require a bachelors degree in Computer Science, Engineering, Information Technology, or a related technical field, or equivalent practical experience.
  • We require 10+ years of professional software engineering experience, with ownership of complex, production-critical systems.
  • We require 5+ years leading development teams and delivering reliable, safe enterprise solutions.
  • We require experience delivering large-scale, high-volume transactional systems.
  • We require hands-on experience designing and building cloud-native applications on Azure and/or AWS.
  • We require experience building and consuming APIs, including REST, messaging, and integration layers for high-volume transaction processing.
  • We require experience working on or integrating with pharmacy claims adjudication systems or similarly complex transaction platforms.
  • We require proven experience with Docker and Kubernetes, including deployment, configuration, and runtime troubleshooting.
  • We require experience participating in cross-team delivery efforts where schedule slippage creates operational, financial, or compliance risk.
  • We require strong familiarity with CI/CD pipelines, automated testing, and secure SDLC practices.
  • We require solid proficiency in Java and Spring/Spring Boot for enterprise-grade production services.
  • We require experience implementing changes driven by external standards or regulatory mandates while preserving correctness, auditability, and stability.
  • We require hands-on experience with AI prompt engineering for development, analysis, or automation use cases.
  • We require experience developing or applying agentic AI solutions to automate engineering workflows or speed up delivery.
  • We require working knowledge of AI harness engineering, including evaluation, regression, guardrails, and reliability considerations.
  • We require the ability to integrate AI-assisted solutions responsibly into enterprise engineering environments.
  • We require a strong production-ownership mindset, including troubleshooting complex issues, root-cause analysis, and preventative improvement.
  • We require experience implementing observability practices such as logging, metrics, and alerts for mission-critical systems.
  • We require commitment to secure coding, data protection, and privacy controls in healthcare technology.
Responsibilities:
  • We lead the design and delivery of modernized adjudication services aligned to our roadmap and target architecture.
  • We apply engineering best practices and sound architectural patterns to deliver safe, robust solutions.
  • We build and enhance Java/Spring-based services and APIs that support adjudication modernization.
  • We break legacy capabilities into modular, testable, independently deployable components where appropriate.
  • We own end-to-end execution for assigned modernization features, from requirements clarification through production support.
  • We partner with product, architecture, and downstream platform teams to ensure clean integration with existing claim processing flows.
  • We implement observability, alerting, and SLO-driven engineering to strengthen reliability and operational readiness.
  • We improve performance and scalability for claim transaction workflows, including latency, throughput, resiliency, and failure isolation.
  • We create and maintain technical documentation such as designs, run-books, and support procedures.
  • We perform impact assessments and gap analysis based on reverse engineering efforts.
  • We coordinate across teams on delivery schedules, dependencies, and integration testing, including work with partners and vendors as needed.
  • We provide technical input for stakeholder communications, covering engineering impact, release readiness, constraints, risks, and mitigations.
  • We design, build, and run cloud-native services on Azure and/or AWS using appropriate managed services and reliability patterns.
  • We package and deploy applications with Docker and Kubernetes, applying secure configuration, resource tuning, and rollout strategies.
  • We build and maintain CI/CD pipelines for automated build, testing, security scanning, and deployment.
  • We improve infrastructure and deployment automation to reduce manual effort and increase repeatability.
  • We adopt and promote AI solutions in our daily development workflow.
  • We design AI agents to automate and accelerate engineering and analysis tasks such as code conversion, documentation, testing, and migration support.
  • We apply prompt engineering and agentic AI patterns to build reliable, task-focused assistants with measurable results.
  • We champion AI adoption within the team and mentor peers on effective use of AI to accelerate delivery.
  • We build and maintain AI harness capabilities, including evaluation harnesses, regression suites, guardrails, and telemetry.
  • We integrate AI tooling into developer workflows, including CI hooks, pull request checks, knowledge retrieval, and standardized templates.
  • We establish operational controls for AI-enabled automation, including access, logging, validation, fail-safes, and human-in-the-loop oversight where needed.
  • We champion engineering excellence through clean code, design reviews, automated testing, and secure-by-design implementation.
  • We diagnose and resolve complex production issues, perform root-cause analysis, and implement preventive fixes.
  • We ensure compliance with internal security, privacy, and SDLC controls, including secrets management, vulnerability remediation, and dependency hygiene.
  • We provide technical leadership, mentor engineers, remove delivery blockers, and help raise the quality bar.
  • We collaborate across product, operations, architecture, and partner teams to deliver outcomes on schedule.
  • We communicate progress, risks, and trade-offs clearly, and escalate with mitigation options when needed.
Technologies:
  • Agentic AI
  • AI
  • AI Agents
  • AWS
  • Azure
  • CI/CD
  • Cloud
  • Docker
  • Support
  • Java
  • Kubernetes
  • REST
  • Security
  • Spring
  • Spring Boot

More:

We are Optum, a global organization that uses technology to help millions of people live healthier lives and improve health outcomes through care, pharmacy benefits, data, and resources. We offer a culture grounded in inclusion, talented peers, comprehensive benefits, and career development opportunities. This role is remote within the U.S., with a minimum in-office expectation of four days per week for hires in the Minneapolis or Washington, D.C. area. We provide a broad benefits package that may include incentive and recognition programs, equity stock purchase, and 401(k) contributions, subject to eligibility, with an annual salary range of $112,700 to $193,200. We are committed to health equity, environmental responsibility, and equal employment opportunity, and we operate as a drug-free workplace.

last updated 33 week of 2026

Vacancy posted 1 day ago
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