Job Description
Experience: 8–10 years
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Tech Stack: Distributed Systems, AWS (incl. EKS), OpenShift, Automation (CI/CD & IaC), Go, Python, Node.js, AI-Assisted Software Development
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Role Overview
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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.
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Key Responsibilities
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- Lead design and development of complex, distributed, high-availability systems in Go, Python, and Node.js
- Define technical approach and engineering best practices for the team
- Own key AWS infrastructure decisions covering scalability, cost, security, and resilience across container orchestration platforms (EKS, OpenShift) and serverless/compute services
- Drive automation strategy across CI/CD, infrastructure provisioning, testing, and operations
- Lead technical design reviews and set coding and architecture standards
- Mentor engineers and guide their technical growth
- Collaborating with senior leads to drive delivery efficiency and technology excellence
- Partner with product and business stakeholders to translate requirements into technical solutions
- Lead incident response, root-cause analysis, and long-term reliability improvements
- Evaluate and introduce new tools and technologies where they add clear value
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Required Qualifications
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- Bachelor’s or master’s degree in computer science, Engineering, or a related field
- 8–10 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
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AI Knowledge & AI-Assisted Development (Required)
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- 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
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Preferred Qualifications
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- 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
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