2 months ago
Mumbai, IndiaSenior
Responsibilities
- Design, develop, and manage scalable applications using Java, Spring Boot, and Python.
- Build distributed systems using microservices and event-driven architecture patterns.
- Develop and operate applications on Kubernetes clusters with container orchestration.
- Build LLM-powered features, autonomous AI agents, multi-agent systems, and agentic workflows.
- Implement RAG pipelines, embedding systems, vector database integrations, and AI tool integrations.
- Apply test-driven development with unit, integration, and contract testing.
- Use DevOps and platform engineering practices, including infrastructure automation, deployment automation, and monitoring.
- Design and implement data ingestion and processing pipelines.
- Collaborate with cross-functional teams, participate in code reviews, and create technical documentation.
- Optimize application performance and troubleshoot production issues in distributed environments.
Requirements
- Expertise in Python, Java, and Spring Boot with microservices development.
- Strong experience designing and implementing microservice, event-driven, and distributed systems architectures.
- Strong knowledge of SQL and NoSQL databases.
- Strong knowledge of test-driven development and testing frameworks.
- Experience with DevOps or platform engineering, infrastructure automation, and monitoring.
- Proficiency with Kubernetes, including deployment, scaling, and service mesh technologies.
- Experience with LLM frameworks such as LangChain or LangGraph and transformer technologies such as Hugging Face Transformers.
- Experience with vector databases such as Qdrant or Weaviate and embedding models such as OpenAI or BERT.
- Experience designing agent frameworks, multi-agent systems, agentic workflows, memory systems, tool integrations, and agent orchestration.
- Experience with RAG components and patterns, including document chunking, embedding generation, vector similarity search, prompt engineering, hybrid retrieval, query decomposition, and response synthesis.
- Preferred experience with advanced agentic patterns, agent monitoring and observability, semantic search, knowledge graphs, ontologies, stream processing, human-in-the-loop systems, distributed tracing, MLOps, Terraform, Helm, and AWS or an equivalent public cloud.
Benefits
- Competitive salary and benefits package, health insurance, and an annual performance bonus.
- Remote work flexibility.
- Professional development opportunities and training in emerging AI technologies, agentic systems, and distributed systems patterns.
- Access to cutting-edge AI technologies and resources.
- Collaborative and innovative work environment.
- Regular team events and activities.
Categories
About Nomura
Nomura is a Tokyo‑headquartered, publicly traded financial services group providing wealth and investment management, wholesale (global markets and investment banking), and banking to individuals, institutions, corporates, and governments. Founded in 1925, it operates in about 30 countries and is listed on the Tokyo Stock Exchange and the NYSE. Subsidiaries such as Instinet offer agency brokerage and electronic trading, serving clients in over 60 markets.