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.
Solid problem-solving skills with the ability to deliver in quick-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 Bengaluru
🏢 Extreme Networks
📍 Bengaluru