We are seeking a Senior Distributed Systems & ML Engineer to design and build scalable distributed systems, Big Data pipelines, and ML/Generative AI services. This role will contribute to architecture decisions, integrate AI solutions into production, and mentor engineering teams while ensuring high-quality, production-ready code.

Key Responsibilities - Design, implement, and maintain scalable distributed systems, data pipelines, and ML services.

- Participate in system architecture discussions and shape production system design decisions.
- Build and optimize microservices and real-time inferencing solutions powering AI Agents.
- Collaborate with cross-functional teams to integrate Big Data and Generative AI solutions into platforms such as Lakehouse, Streaming Services, and ETL Pipelines.
- Write high-quality, production-ready code and engage in design reviews, code reviews, and testing.
- Mentor junior engineers and contribute to engineering best practices.

Requirements - Degree in Computer Science, Mathematics,



or a related field.

- 5+ years of experience across the full software development lifecycle (SDLC) including design, coding, testing, deployment, and operations.
- 3+ years of experience with distributed Big Data systems such as PySpark, Kafka, Lakehouse, Debezium, Druid, or Glue.
- Hands-on experience delivering ML or Generative AI solutions such as RAG, AI Agents, or LLM fine-tuning in production.
- Experience deploying large-scale systems on cloud platforms such as AWS, Azure, or GCP.
- Strong problem-solving skills with the ability to deliver in fast-paced, team-oriented environments.

Preferred Qualifications - MS in Computer Science, Machine Learning, or a related field.

- Experience with Graph ML such as GNNs or Graph RAG.
- Advanced experience in Generative AI such as RAG, Knowledge Bases, or AI Agents.

📌 Senior Software Engineer-Big Data, Generative AI (Chennai)
🏢 Extreme Networks
📍 Chennai