Job Category: Data Processing Pipelines Generative AI / LLM Integration Kubernetes NoSQL python
Job Type: Full Time
Job Location: Bangalore
Experience Required: 10+ Years
Primary Skills Focus: Python + NoSQL
About the Role
We are looking for a talented and experienced Senior Python Developer with strong hands-on experience in Python development, NoSQL databases, data processing pipelines, and a solid understanding of Generative AI concepts. You will play a key role in designing, building, and scaling systems from the ground up while working in a fast-paced, collaborative environment.
Key Responsibilities
- Design, develop, and maintain scalable Python-based applications and backend services
- Build and optimize end-to-end data processing pipelines for large-scale data ingestion, transformation, and delivery
- Architect and develop systems from scratch, ensuring high availability, scalability, and performance
- Work with NoSQL databases (MongoDB, Cassandra, DynamoDB, etc.) for data storage, retrieval, and optimization
- Integrate and experiment with Generative AI models and frameworks (LLMs, RAG pipelines, LangChain, OpenAI APIs, etc.)
- Deploy, manage, and monitor applications using Kubernetes (K8s) in production environments
- Work with tools like Apache Kafka, Apache Spark, Airflow, or similar for data streaming and orchestration
- Apply knowledge of microservices architecture, REST APIs, and event-driven systems
- Participate in code reviews, technical discussions, and architectural decisions
- Troubleshoot and resolve performance bottlenecks and system issues
- Write clean, maintainable, and well-documented code following best practices
Required Skills & Qualifications
- 10+ years of hands-on experience in Python development
- Strong expertise in NoSQL databases (MongoDB, Cassandra, DynamoDB, or similar) — primary skill
- Proven experience building and scaling data processing pipelines from scratch
- Solid understanding of Generative AI concepts — LLMs, RAG pipelines, LangChain, OpenAI APIs
- Hands-on experience deploying and managing applications on Kubernetes (K8s)
- Familiarity with Apache Kafka, Apache Spark, Airflow, or equivalent data engineering tools
- Strong grasp of microservices architecture, REST APIs, and event-driven system design
- Ability to work independently in architecting systems from the ground up
- Excellent code quality practices — clean, maintainable, well-documented code
Ideal Candidate Profile
A senior engineer who has architected systems end-to-end (not just maintained existing ones), is deeply comfortable with NoSQL data modeling at scale, and has practical exposure to applying GenAI/LLM tooling in production or experimental contexts — not just theoretical familiarity.
