Lead Software Engineer

About This Role

Lead a high-performing software engineering team focused on claims preprocessing, managing operational development and support. Implement machine learning solutions, including generative AI, to enhance application support and drive reliability advancements within a regulated healthcare environment.

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
• Drive Agile practices and ceremonies (PI planning, standups, backlog refinement, reviews) to ensure predictable, high quality delivery
• Lead incident response, root cause analysis, and post mortems; 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

Requirements

• Bachelor's degree in Computer Science, Engineering, or equivalent experience
• 12+ 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

Qualifications

• Bachelor's degree in Computer Science, Engineering, or equivalent experience
• 12+ years of experience in SDLC, SRE, DevOps, or related engineering domains, with 3+ years leading engineering or operations teams

Nice to Have

• 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
• Leadership experience in globally distributed teams
• 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

Skills

* Required skills

Benefits