Tech Lead

Simplify Alpha

Hyderabad

On-site

INR 2,600,000 - 4,500,000

Full time

5 days ago
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Job summary

Simplify Alpha seeks a Senior Software Engineer to lead design and development of complex, distributed systems on AWS using Go, Python, and Node.js. You will guide a team, drive automation, and partner with product and client stakeholders to deliver resilient, well-tested solutions.

You will own infrastructure decisions, mentor engineers, and shape engineering standards while collaborating across cross-functional teams to ensure scalable, secure deployments in EKS/OpenShift environments.

Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • 8–12 years of software engineering experience with distributed systems.
  • Expert-level Go and Python, strong Node.js for polyglot environments.
  • Deep AWS architecture and services, incl. container orchestration on EKS.

Responsibilities

  • Lead design and development of distributed, highly available systems on AWS.
  • Define technical direction and engineering best practices for the team.
  • Own AWS infrastructure decisions for scalability, cost, security, and resilience.
  • Drive automation across CI/CD, IaC, testing, and operations.
  • Lead design reviews and set coding standards across the team.
  • Mentor mid-level and junior engineers and guide growth.
  • Collaborate with product and client stakeholders to translate requirements into solutions.
  • Lead incident response and long-term reliability improvements.
  • Evaluate and introduce new tools and technologies with clear value.

Skills

Go
Python
Node.js
Distributed systems
AWS
Kubernetes
CI/CD
Automation

Education

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

Tools

Terraform
CloudFormation
Ansible
OpenShift
EKS
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

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