Description

Job Responsibilities include:

Design, develop, test, deploy, and maintain scalable applications, backend services, and data pipelines using Java, Scala, and Python.

Build and support RESTful APIs, microservices, and distributed systems using Java, Spring Boot, and modern software engineering practices.

Develop and optimize large-scale ETL/ELT, batch, and stream data pipelines using Apache Spark, PySpark, and Scala.

Work with structured and unstructured data across databases, data lakes, and cloud-based data platforms to deliver reliable data solutions.

Integrate AI and Generative AI capabilities, including LLMs, RAG, embeddings, and AI APIs, into applications and data workflows.

Collaborate with cross-functional teams in Agile environments to deliver high-quality software solutions while supporting performance optimization, troubleshooting, and production support.

Required Qualifications:

Bachelor’s degree in computer science, Software Engineering, Information Technology, Data Engineering, or a related field.

8-10 years of experience in software engineering, backend development, data engineering, and cloud-based application development.

Strong hands-on expertise in Java, Scala, Python, Spring Boot, REST APIs, Apache Spark/PySpark, and large-scale data pipeline development.

Experience integrating AI/Generative AI solutions, including LLMs, RAG, vector search, and cloud platforms such as AWS, Azure, or GCP

Key Skills

Education

Any Graduate