Junior Software Engineer

Tata Consultancy Services Limited; McLean (VA); Presencial; USD 110.000 - 160.000; Jornada completa

Descripción de la vacante

Tata Consultancy Services Limited in McLean, VA is seeking a software engineer who can deliver robust enterprise solutions. You will work hands-on with Python, SQL, REST APIs, and modern data engineering practices to build scalable integrations and applications.

You will design, develop, test, and deploy services, use Git, CI/CD, and containerization (Docker/Kubernetes), and apply AI/GenAI concepts with LLMs, RAG, and Prompt Engineering to solve real customer challenges.

Formación

• Hands-on Python programming, coding and debugging skills.
• Experience with SQL, data processing, and relational databases.

Conocimientos

Python

SQL

REST APIs

Data Structures

Algorithms

Git

CI/CD

Cloud Platforms

Docker/Kubernetes

AI/GenAI

LLMs

Prompt Engineering

RAG concepts

Troubleshooting

Production Support

Proof of Concepts

Herramientas

Docker

Kubernetes

AWS

Azure

GCP

Descripción del empleo

• 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.
• 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.