Technical Lead Backend Developer

Tata Consultancy Services; Kolkata District, Pune District, Bengaluru; On-site; INR 2,500,000 - 6,000,000; Full time

Job summary

Tata Consultancy Services in Kolkata region is seeking an experienced engineer to build, deploy, and scale ML models, LLMs, and agentic workflows into production. You will leverage Python/Node.js with FastAPI and run cloud-native services on Azure, focusing on microservices and secure governance.

You'll mentor teams, drive delivery, and collaborate across platform engineering to ensure robust, scalable systems. This role emphasizes hands-on development with strong cloud and DevOps practices.

Qualifications

• 8–12 years in core software development or large-scale platforms.
• 4–5 years building, deploying, and scaling ML models in production.
• Strong Python and Node.js expertise and modern framework experience.

Responsibilities

• Build, deploy, and scale ML models, LLMs, or agentic workflows into live production.
• Develop and maintain services using FastAPI and related tech.
• Architect and operate Azure cloud solutions and governance.
• Lead and mentor teams to drive timely delivery.

Skills

Python

Node.js

ML models

LLMs

Agentic workflows

FastAPI

Azure cloud

Microservices

Docker

Kubernetes

Azure DevOps

Terraform

Event-driven systems

IAM and governance

Tools

FastAPI

Azure

Docker

Kubernetes

Azure DevOps

Terraform

Azure Service Bus

Databricks

Job description

Role & responsibilities

812 years in core software development, distributed systems, or large-scale platform engineering - including strong Python and Nodejs expertise.

4-5 years building, deploying, and scaling machine learning models, LLMs, or agentic workflows into live production.

Deep experience with FastAPI (or similar modern frameworks)

Hands-on experience with Azure cloud architecture and operations

Strong knowledge of:

Microservices and distributed systems

Docker and Kubernetes (ACA and AKS)

Proven experience with:

CI/CD pipelines (Azure DevOps)

Infrastructure as Code (Terraform preferred)

Demonstrated leadership experience in mentoring teams and driving delivery

Preferred candidate profile

Experience with Azure AI foundry, Databricks, or big data pipelines

Knowledge of event-driven systems (Azure Service Bus, Azure Data Factory)

Familiarity with API gateways and service mesh

Understanding of cloud security, IAM, and governance