Technical Lead Backend and Integration

Timecode Technologies; Hyderabad; Hybrid; INR 3,000,000 - 6,000,000; Full time

Job summary

Timecode Technologies is seeking a Technical Lead to own the design and delivery of backend and integration services on AWS. You will lead a team building serverless, event-driven APIs using Python, Java, and Node.js, set engineering standards, and mentor engineers while collaborating with client stakeholders.

The role requires 9–12 years of software engineering experience, deep AWS expertise (Lambda, API Gateway, AppSync), and a strong focus on reliable, tested services.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field.
• 9 to 12 years of software engineering experience with backend and integration focus.
• Expert-level proficiency in Python; strong Java and/or Node.js.
• Deep hands-on experience with AWS Lambda, API Gateway and AppSync; solid with Step Functions, EventBridge, SQS, SNS.
• Hands-on knowledge of SQL and stored procedures; experience with MongoDB.
• Experience designing event-driven, asynchronous integrations and API-based systems.
• Experience leading technical projects or small teams and communicating with stakeholders.
• Understanding of AI-assisted development, prompt engineering, and secure AI practices.

Responsibilities

• Lead design and delivery of backend and integration services on AWS.
• Build serverless, event-driven APIs and integrations using Python, Java, and Node.js.
• Define API contracts and integration patterns for Angular front end interfaces.
• Own database design and tuning for SQL and MongoDB.
• Set engineering standards, drive SDLC quality, and enforce automated tests.
• Mentor Senior Software Engineers and conduct design/code reviews.
• Oversee incident response and long-term reliability improvements.
• Collaborate with Data Engineering and UI/UX leads and client stakeholders.

Skills

Python

Java

Node.js

AWS

SQL

MongoDB

AI-Assisted Software Development

EKS

ECS

Docker

OpenShift

Terraform

GitHub

Jenkins

GitHub Actions

IAM

Education

Bachelor's or Master's degree in Computer Science, Engineering, Information Technology

Tools

AWS Lambda

API Gateway

AppSync

Step Functions

EventBridge

SQS

SNS

SQL Stored Procedures

MongoDB

Docker

OpenShift

Terraform

GitHub

Jenkins

GitHub Actions

IAM

encryption

Job description

Technical Lead Backend and Integration

Location: Offshore India

Experience: 9 to 12 yrs

Tech Stack: Python, Java, Node.js, AWS (Lambda, API Gateway, AppSync, Step Functions, EventBridge, SQS, SNS), SQL and Stored Procedures, MongoDB, AI-Assisted Software Development

Working Knowledge: EKS, ECS, Docker, OpenShift, VPC, RDS, Security Groups, Terraform, GitHub, Jenkins, GitHub Actions, encryption, IAM

Role Overview

We are looking for a Technical Lead to own the design and delivery of backend and integration services on AWS. You will lead a team building serverless, event-driven APIs and integrations using Python, Java, and Node.js, set engineering standards, and act as a hands-on technical leader who works with the Manager, the Data Engineering and UI/UX leads, and client stakeholders to turn requirements into resilient, well-tested services.

Key Responsibilities

• Lead design and development of backend and integration services in Python, Java, and Node.js
• Design serverless and event-driven solutions on AWS using Lambda, API Gateway, AppSync, Step Functions, EventBridge, SQS, and SNS
• Define API contracts and integration patterns, including AppSync and API Gateway interfaces consumed by the Angular front end
• Own database design and tuning for SQL, stored procedures, and MongoDB workloads that support the services
• Define technical approach, coding standards, and engineering best practices for the backend team
• Lead technical design reviews and code reviews, and mentor Senior Software Engineers
• Own SDLC quality across design, configuration, testing, debugging, implementation, and support, and ensure automated tests are part of the definition of done
• Work with the Automation Engineer to build API and integration test coverage, and cross-train engineers on basic test automation
• Collaborate with the Data Engineering lead on shared data stores, events, and integration points
• Apply working knowledge of ECS, Terraform, GitHub, Jenkins, GitHub Actions, IAM, and encryption to build and deploy services securely
• Drive responsible use of AI-assisted development tools within the team
• Lead incident response, root-cause analysis, and long-term reliability improvements

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field
• 9 to 12 years of software engineering experience, with significant depth in backend and integration development
• Expert-level proficiency in Python, with strong working proficiency in Java and/or Node.js
• Deep hands-on expertise with AWS Lambda, API Gateway, and AppSync (must haves), and strong experience with Step Functions, EventBridge, SQS, and SNS
• Hands-on knowledge of SQL and stored procedures, and experience with MongoDB
• Experience designing event-driven, asynchronous, and API-based integrations
• Experience across the full software development lifecycle: design, configuration, testing, debugging, implementation, and support of large-scale, business-centric, process-based applications
• Working awareness of EKS, ECS, Docker, OpenShift, VPC, RDS, Security Groups, Terraform, GitHub, Jenkins, GitHub Actions, encryption, and Identity and Access Management (IAM); working knowledge of ECS and Terraform is a must have
• 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)

• Good understanding of AI/LLM models and how they can be applied to accelerate delivery, including prompt engineering
• Strong, demonstrated use of AI development tools such as Devin AI, Cursor, and Claude Skills across the 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
• Able to identify where AI-driven automation can meaningfully improve engineering velocity, code quality, or operational efficiency, and lead adoption within the team
• Understanding of secure and compliant AI tool usage, including never entering PHI, member data, client-specific credentials, or other sensitive information into prompts or external AI tools

Preferred Qualifications

• Experience in the US health insurance or payer domain: claims, eligibility, enrollment, provider, or member data, with HIPAA-aware system design and data handling practices
• Exposure to healthcare interoperability and data standards (HL7, FHIR, X12 EDI)
• Experience with Kafka or other messaging systems in addition to SQS and SNS
• Prior experience in a client-facing consulting or professional services environment