Junior FDE at Tata Consultancy Services

Seniority: Entry Level

Tata Consultancy Services is seeking a Junior FDE to develop and support scalable technical solutions for enterprise customers. The role involves building applications, APIs, integrations, proof of concepts, and AI/GenAI solutions, while supporting cloud-based production deployments and troubleshooting.

Responsibilities

• Understand customer business challenges and translate them into scalable technical solutions
• Design, develop, test, and deploy applications, APIs, and integrations using modern engineering practices
• Build Proof of Concepts (PoCs) and rapidly prototype solutions to validate business and technical requirements
• Continuously evaluate and apply emerging technologies, including AI/GenAI capabilities, to solve enterprise problems
• Troubleshoot application, integration, and production issues through systematic debugging and root cause analysis
• Work with Cloud, Containerization, and CI/CD technologies to support production deployments

Qualifications

• Bachelor of Computer Information Systems
• 0 - 2 Years
• Must

have hands-on programming experience in Python with strong coding and debugging

skills

• Must

have experience in SQL, data processing, and relational database concepts

• Must

have experience in developing and consuming REST APIs and enterprise

integrations

• Must

have strong understanding of Data Structures, Algorithms, and Problem-solving

techniques

• Must

have experience with Git, version control, and CI/C D practices

• Must

have working knowledge of Cloud Platforms (AWS, Azure, or GCP) and

containerization (Docker/Kubernetes)

• Must

have 1 year experience building or supporting AI/GenAI applications using LLMs,

Prompt Engineering, and RAG concepts

• Must

have minimum 1 year experience in application troubleshooting, testing,

deployment, and production Support

Tech stack

Python, SQL, Data Processing, Relational Database Concepts, REST APIs, Enterprise Integrations, Data Structures and Algorithms, Git, CI/CD, Cloud Platforms AWS, Cloud Platforms Azure, Cloud Platforms, Cloud Platforms GCP, Docker, Kubernetes, Large Language Models (LLMs), Prompt Engineering, Retrieval-Augmented Generation (RAG)