We are looking for a Senior Software Full Stack Engineer to design and develop 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 work closely with a technical lead and cross-functional teams to deliver resilient, well-tested systems, contribute to engineering best practices, and mentor junior engineers as you grow your technical leadership capabilities.

Key Responsibilities :

- Design and develop distributed, high-availability systems in Go, Python, and Node.js

- Contribute to and uphold engineering best practices and coding standards established by the team

- Implement and optimize AWS infrastructure with a focus on scalability, cost, security, and resilience across EKS, OpenShift, and serverless/compute services

- Build and maintain automation pipelines across CI/CD, infrastructure provisioning, testing, and operations

- Participate in technical design reviews and contribute to architecture discussions

- Mentor junior engineers and provide constructive code review feedback

- Collaborate with product and business stakeholders to translate requirements into technical solutions

- Contribute to incident response, root-cause analysis, and long-term reliability improvements

- Stay current on new tools and technologies and propose adoption where there is clear value

Required Qualifications :

- Bachelor's or Master's degree in Computer Science, Engineering, or a related field

- 5 - 7 years of software engineering experience with meaningful exposure to distributed systems

- Strong proficiency in Go and Python, with working knowledge of Node.js in polyglot service environments

- Hands-on experience with AWS architecture and services, including container orchestration on EKS

- Experience running and operating workloads on Red Hat OpenShift as an enterprise Kubernetes platform

- Experience implementing automation frameworks and infrastructure-as-code (Terraform, CloudFormation, or Ansible)

- Solid understanding of distributed systems fundamentals: consistency models, fault tolerance, service mesh, messaging systems (Kafka, SQS/SNS), and data partitioning

- Ability to work effectively in cross-functional and client-facing team settings

- Strong written and verbal communication skills

AI Knowledge & AI-Assisted Development (Required) :

- Demonstrated use of AI-assisted development workflows (Claude Code, Copilot, Cursor, or similar) across the full development lifecycle: design, coding, testing, review, and documentation

- Follows and applies team-level standards for responsible AI-assisted coding, including validation rigor, security scanning of AI-generated code, and avoiding data leakage in prompts

- Working knowledge of AI/LLM integration patterns for backend systems: APIs, prompt design, retrieval-augmented generation (RAG), embeddings, and agentic workflows (e.g., MCP)

- Identifies opportunities where AI-driven automation can improve engineering velocity, code quality, or operational efficiency

- Ensures AI tool usage aligns with data privacy and security requirements, particularly around PHI and other sensitive health plan data

Preferred Qualifications :

- Experience in the US health insurance or payer domain: claims, enrollment, benefits, provider networks, and HIPAA/compliance-aware system design

- Familiarity with healthcare interoperability standards (HL7, FHIR, X12 EDI)

- Prior experience in a client-facing consulting or professional services environment