Technical Lead Full Stack Developer

Timecode Technologies; Hyderabad; Hybrid; INR 13,449,000 - 17,291,000; Full time

Job summary

Timecode Technologies seeks a hands-on Technical Lead for Full Stack development. You will drive architecture across Go, Python, Node.js, and cloud-native stacks in a hybrid/remote setup spanning India and the USA.

Lead a team, mentor engineers, and own DevOps, security, and data privacy aspects while leveraging GenAI tools to accelerate delivery and quality across distributed systems.

Qualifications

• 8–11 years of software development experience.
• Hands-on technical lead with architecture and mentoring experience.
• Experience with AI-assisted development and GenAI tools.

Responsibilities

• Lead technical design and system architecture for distributed applications.
• Mentor and guide engineers across stack and domains.
• Drive DevOps practices, security, and data-privacy in development.

Skills

Go

Python

Node.js

AWS

Kubernetes

Docker

Microservices

CI/CD

DevOps

AI-assisted development

GenAI

LLM

RAG

embeddings

AI security

data privacy

Education

Bachelor's degree in Computer Science

Master's degree in Computer Science

Tools

Terraform

CloudFormation

Ansible

GitHub Copilot

Cursor

Claude Code

OpenShift

EKS

Job description

Role & responsibilities

Technical Lead Full Stack Development

Experience: 8-11 Years
Location: India (Offshore) / USA (Onshore)
Mode: Hybrid / Remote

Job Description:

Looking for a hands-on Technical Lead with strong experience in Go, Python, Node.js, AWS, EKS, OpenShift, Distributed Systems and DevOps automation.

Must-Have Skills:

• Expert Go & Python, strong Node.js
  
• AWS architecture with EKS & OpenShift
  
• Kubernetes, Docker, Microservices
  
• Terraform / CloudFormation / Ansible
  
• CI/CD and automation
  
• Distributed systems, Kafka, SQS/SNS, fault tolerance
  
• Technical leadership, architecture and mentoring
  
• Strong experience with AI-assisted development GitHub Copilot, Cursor, Claude Code or similar
  
• GenAI, LLM, RAG, embeddings, Agentic AI/MCP
  
• Experience implementing AI security, validation and data-privacy practices
  

Preferred:

• US Healthcare / Payer domain
  
• Claims, Benefits, Enrollment, Provider Networks
  
• HIPAA, HL7, FHIR, X12/EDI
  
• Client-facing consulting experience
  

Education: Bachelor's/Master's in Computer Science, Engineering or related field.

Mail: [e-mail]