Senior Software Engineer - Full Stack

Senior Software Engineer-REMOTE/USA
Senior Manager / Manager - Full Stack
Location: Onshore (United States)
Tech Stack: Distributed Systems, AWS (incl. EKS), OpenShift, Automation (CI/CD & IaC), Go, Python, Node.js, AI-Assisted Software Development
6 month contract to hire
Role Overview
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.
Required Qualifications
Bachelor's or Master's degree in Computer Science, Engineering, or a related field
10–12 years of software engineering experience, with significant depth in distributed systems
· 8+ years of work experience with Node.js
· 8+ years of work experience with Python (Programming Language)
Experience with healthcare interoperability standards (HL7, FHIR, X12 EDI)
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
Prior experience in a client-facing consulting or professional services environment

Work arrangement
Yes