Junior Software Engineer

Tata Consultancy Services Limited; Cincinnati (OH); Presencial; USD 90.000 - 120.000; Jornada completa

Descripción de la vacante

Tata Consultancy Services Limited is seeking engineers with hands-on Python programming, strong debugging, and deep knowledge of SQL, REST APIs, and data structures. You will engage with Git-based workflows, CI/CD practices, and cloud platforms (AWS/Azure/GCP) while exploring Docker/Kubernetes and GenAI-enabled solutions.

You will troubleshoot, design, develop, and deploy scalable integrations. Experience in AI/GenAI applications, LLMs, prompt engineering, and production support is valued to

Formación

• Hands-on programming in Python with strong coding and debugging skills.
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Conocimientos

Python

SQL

REST APIs

Data Structures

Git & CI/CD

Cloud Platforms

Docker

Kubernetes

GenAI/LLMs

Troubleshooting & Production Support

Herramientas

Docker

Kubernetes

CI/CD tooling

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.