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Key Responsibilities:

• Lead design and development ofcomplex, distributed, high-availability systems in Go, Python, and Node.js

• Define technical approach andengineering best practices for the team

• Own key AWS infrastructuredecisions covering scalability, cost, security, and resilience across containerorchestration platforms (EKS, OpenShift) and serverless/compute services

• Drive automation strategyacross CI/CD, infrastructure provisioning, testing, and operations

• Lead technical design reviews and set coding and architecture standards

• Mentor mid-level and juniorengineers and guide their technical growth

• Partner with product andbusiness stakeholders to translate requirements into technical solutions

• Lead incident response,root-cause analysis, and long-term reliability improvements

• Evaluate and introduce newtools and technologies where they add clear value

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Required Qualifications:

• Bachelor's or Master's degreein Computer Science, Engineering, or a related field

• 8–12 years of softwareengineering experience, with significant depth in distributed systems

• Expert-level proficiency in Goand Python, with strong working proficiency in Node.js for polyglot serviceenvironments

• Deep hands-on expertise with AWS architecture and services, including container orchestration on EKS

• Hands-on experience running andoperating workloads on Red Hat OpenShift as an enterprise Kubernetes platform

• Proven experience designing andscaling automation frameworks and infrastructure-as-code (Terraform,CloudFormation, or Ansible)

• Strong grasp of distributedsystems fundamentals: consistency models, fault tolerance, service mesh,messaging systems (Kafka, SQS/SNS), and data partitioning

• Experience leading technicalprojects or small teams

• Strong written and verbalcommunication skills for working with cross-functional and client stakeholders

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AI Knowledge & AI-Assisted Development (Required):

• Strong, demonstrated use ofAI-assisted and agentic development workflows (Claude Code, Copilot, Cursor, orsimilar) across the full development lifecycle: design, coding, testing,review, and documentation

• Able to define and enforceteam-level standards for responsible AI-assisted coding, including validationrigor, security scanning of AI-generated code, and avoiding data leakage inprompts

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

• Able to identify whereAI-driven automation can meaningfully improve engineering velocity, codequality, or operational efficiency, and lead adoption within the team

• Ensures AI tool usage on theteam aligns with data privacy and security requirements, particularly aroundPHI and other sensitive health plan data

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Preferred Qualifications:

• Extensive experience in the UShealth insurance or payer domain: claims, enrollment, benefits, providernetworks, and HIPAA/compliance-aware system design

• Experience with healthcareinteroperability standards (HL7, FHIR, X12 EDI)

• Prior experience in aclient-facing consulting or professional services environment