Lead Software Engineer - Remote

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. They are seeking a Lead Software Engineer to manage development and support for the Claims Accumulator Hub team, focusing on application deployments, production support, and implementing AI solutions.

Responsibilities:

• Lead and manage a high performing team of software engineers, providing coaching, mentorship, and fostering a collaborative culture
• Partner with Product Owners and stakeholders to define scope, requirements, priorities, and delivery expectations
• Develop and maintain project plans, technical roadmaps, and execution strategies for new features, enhancements, and platform initiatives
• Oversee engineering activities end to end-from design and development through deployment, production operations, and continuous improvement along with being hands-on when needed
• Drive Agile practices and ceremonies (Sprint planning, standups, backlog refinement, reviews) to ensure predictable, high-quality delivery
• Lead incident response, root cause analysis, and postmortems; implement corrective actions to improve reliability and reduce recurrence
• Architect, evolve, and manage observability platforms using Open Telemetry, Splunk, Grafana, or similar tools
• Build and maintain automation frameworks and tools to reduce manual work, improve consistency, and increase operational efficiency
• Ensure engineering excellence through robust vulnerability management, automated testing, solid code quality standards, and performance monitoring
• Partner with SREs, platform teams, and global engineering groups to align architecture, priorities, and delivery outcomes
• Identify opportunities to improve system reliability, performance, scalability, and operational maturity, lead implementation of improvements
• Leverage AI-powered tools and platforms to enhance observability, incident response, and operational efficiency
• Support cloud modernization initiatives, including on-prem to cloud migration strategies and implementation
• Documentation: Create and maintain architectural documentation, including diagrams, technical specifications, and guidelines

Requirements:

• Bachelor's degree in computer science, Engineering, or equivalent experience
• 7+ years of experience in SDLC, SRE, DevOps, or related engineering domains
• 3+ years of experience leading engineering or operations teams
• Hands-on experience architecting and implementing observability solutions (Open Telemetry, Splunk, Grafana, Prometheus)
• Hands-on experience applying AI/GenAI capabilities-such as RAG, agents, or ML driven anomaly detection-to improve observability, incident response, or operational workflows
• Deep understanding of systems architecture, cloud infrastructure, networking, security, and automation
• Solid proficiency with CI/CD tools such as GitHub Actions, Jenkins, or Azure DevOps
• Proficiency with scripting or programming languages (Python, Bash, PowerShell) for automation and tooling
• Proven expertise with public cloud platforms (preferably Azure) and experience supporting or driving on prem to cloud migrations
• Leadership experience in globally distributed teams
• Experience with claims preprocessing workflows, regulatory SLAs, HIPAA aligned operational controls, and transactions including 837, 835, 277, and 271
• Experience building custom telemetry pipelines or integrating AI/ML for anomaly detection
• Experience with IaC tools (Terraform, ARM/Bicep, Ansible)
• Experience working in highly regulated or enterprise scale environments
• Proven solid background in performance engineering, capacity planning, or large-scale distributed systems
• Demonstrated success driving engineering excellence initiatives (DevSecOps, automated testing frameworks, SRE best practices)
• Proven exposure to AI tools and their application in SRE workflows for faster delivery and smarter operations