Technical Lead – Full Stack Development

Domain: Health Insurance
Title: Technical Lead – Full Stack Development
Location: Remote
Duration: Initial six-month contract, with potential for extension or conversion
Visa: GC, GC EAD, USC
MOI: Virtual

Must have LinkedIn

Tech Stack: Distributed Systems, AWS (incl. EKS), OpenShift, Automation (CI/CD & IaC), Go, Python, Node.js, AI-Assisted Software Development

Role Overview
We are looking for a Lead Engineer to drive design and development of complex, highly available, distributed systems on AWS using Go, Python, and Node.js, running on Kubernetes-based platforms such as EKS and OpenShift. You will set technical direction for a team, drive an automation-first engineering culture, and act as a hands-on technical leader who partners with product and client stakeholders to turn requirements into resilient, well-tested systems.

Required Qualifications
• Bachelor’s or master’s degree in computer science, Engineering, or a related field
• 10+ years of software engineering experience, with significant depth in distributed systems
• Expert-level proficiency in Go and Python, with strong working proficiency in Node.js for polyglot service environments
• Deep hands-on expertise with AWS architecture and services, including container orchestration on EKS
• Hands-on experience running and operating workloads on Red Hat OpenShift as an enterprise Kubernetes platform
• Proven experience designing and scaling automation frameworks and infrastructure-as-code (Terraform, CloudFormation, or Ansible)
• Strong grasp of distributed systems fundamentals: consistency models, fault tolerance, service mesh, messaging systems (Kafka, SQS/SNS), and data partitioning
• Experience leading technical projects or small teams
• Strong written and verbal communication skills for working with cross-functional and client stakeholders
AI Knowledge & AI-Assisted Development (Required)
• Strong, demonstrated use of AI-assisted and agentic development workflows (Claude Code, Copilot, Cursor, or similar) across the full development lifecycle: design, coding, testing, review, and documentation
• Able to define and enforce team-level standards for responsible AI-assisted coding, including validation rigor, security scanning of AI-generated code, and avoiding data leakage in prompts
• Practical knowledge of AI/LLM integration patterns for backend systems: APIs, prompt design, retrieval-augmented generation (RAG), embeddings, and agentic workflows (e.g., MCP)
• Able to identify where AI-driven automation can meaningfully improve engineering velocity, code quality, or operational efficiency, and lead adoption within the team
• Ensures AI tool usage on the team aligns with data privacy and security requirements, particularly around PHI and other sensitive health plan data
Preferred Qualifications
• Extensive experience in the US health insurance or payer domain: claims, enrollment, benefits, provider networks, and HIPAA/compliance-aware system design
• Experience with healthcare interoperability standards (HL7, FHIR, X12 EDI)
• Prior experience in a client-facing consulting or professional services environment