Tech Lead (Onsite)

Simplify Alpha; United States; On-site; USD 180,000 - 240,000; Full time

Job summary

Simplify Alpha is seeking a Senior Software Engineer to lead the design and development of complex, highly available distributed systems on AWS using Go, Python, and Node.js, running on Kubernetes platforms such as EKS and OpenShift.

You will set technical direction for a team, drive an automation-first culture, and partner with product and client stakeholders to translate requirements into resilient, well-tested systems.

Qualifications

• 8–12 years of software engineering experience with distributed systems
• Expert-level proficiency in Go and Python, strong Node.js
• Hands-on AWS architecture and services, including EKS
• Experience with OpenShift as an enterprise Kubernetes platform
• Experience designing and scaling automation frameworks and IaC
• Strong understanding of distributed systems fundamentals

Responsibilities

• Lead design and development of distributed, highly available systems on AWS
• Define technical approach and engineering best practices
• Own AWS infra decisions across containers and serverless services
• Drive automation across CI/CD, provisioning, testing, and operations
• Lead design reviews and set coding standards
• Mentor mid‑level and junior engineers
• Partner with product and client stakeholders to translate requirements
• Lead incident response and long‑term reliability improvements
• Evaluate and adopt new tools where value is evident

Skills

Distributed systems

Leadership

Mentoring

Communication

AI-assisted development

Incident response

Reliability engineering

Cross-functional collaboration

Education

Bachelor's or Master's degree in Computer Science or Engineering

Tools

Go

Python

Node.js

AWS

Kubernetes

OpenShift

EKS

Terraform

CloudFormation

Ansible

Kafka

SQS/SNS

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.

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

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

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

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