- Job Description:
- We are looking for a Senior Software Engineer to lead 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.
- Responsibilities:
- 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 mid-level and junior engineers and guide their technical growth 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.
- Requirements:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field 8–12 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.
- Nice to Have:
- 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.