Tech Lead- Full Stack (Healthcare)

Simplify Alpha; United States; Remote; USD 150,000 - 190,000; Full time

Job summary

Simplify Alpha is seeking a Technical Lead for Full Stack Development in the healthcare space. This remote role in the United States focuses on building highly available distributed systems on AWS with Go, Python, and Node.js, running on Kubernetes platforms such as EKS and OpenShift.

You will set technical direction, drive automation, and mentor a team to deliver resilient software solutions. You will collaborate with product and client stakeholders to translate requirements into scalable

Qualifications

• Bachelor’s or Master’s degree in computer science, engineering, or a related field.
• 8–10 years of software engineering experience with deep distributed systems expertise.
• Expert-level proficiency in Go and Python, strong Node.js skills for polyglot services.
• Extensive AWS experience including EKS and OpenShift as enterprise Kubernetes.
• Experience designing and scaling automation via Terraform, CloudFormation, or Ansible.
• Strong knowledge of distributed systems fundamentals and patterns.

Responsibilities

• Lead design and development of complex, distributed, high-availability systems in Go, Python, and Node.js.
• Define technical direction and engineering best practices for the team.
• Own AWS infrastructure decisions across EKS/OpenShift and serverless services.
• Drive automation across CI/CD, IaC, testing, and operations.
• Lead design reviews and set coding standards; mentor engineers.
• Collaborate with product and clients to translate requirements into technical solutions.
• Lead incident response and long-term reliability improvements.
• Evaluate new tools and technologies for value.

Skills

Go

Python

Node.js

Distributed systems

AI-assisted development

Leadership

Communication

Security

Education

Bachelor’s or Master’s in CS/Engineering

Tools

AWS

EKS

OpenShift

Terraform

CloudFormation

Ansible

CI/CD

IaC

Job description

Technical Lead – Full Stack Development (Healthcare)

Location: Remote (United States)

Tech Stack: Distributed Systems, AWS (incl. EKS), OpenShift, Automation (CI/CD & IaC), Go, Python, Node.js, AI-Assisted Software Development

Role Overview

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.

Key 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 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

Required Qualifications

• 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

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
• Experience with healthcare interoperability standards (HL7, FHIR, X12 EDI)
• Prior experience in a client-facing consulting or professional services environment