Enterprise Java & Architecture: The engineer possesses deep expertise in Core Java, Spring Boot, Spring Framework, and Microservices architecture, grounded in SOLID principles and Object-Oriented Programming. They demonstrate advanced command over Java Collections, multithreading, concurrency, algorithms, and design patterns. Their architectural scope includes implementing enterprise integration patterns, API gateways, proxies, caching mechanisms, and distributed messaging platforms such as Kafka and RabbitMQ.

They are highly skilled in developing secure RESTful APIs utilizing JWT, OAuth2, and Single Sign-On (SSO), while continuously ensuring application quality through rigorous unit testing, integration testing, secure coding standards, performance tuning, and distributed debugging.

Python & AI/ML Integration: As a robust Python developer utilizing FastAPI and Flask, the candidate specializes in seamlessly integrating Java enterprise applications with large language models (LLMs) across platforms like OpenAI GPT, Azure OpenAI, Google Vertex AI, Anthropic Claude, and AWS Bedrock. They exhibit advanced practical knowledge of Retrieval-Augmented Generation (RAG), vector databases (Pinecone, FAISS, ChromaDB, Milvus), embeddings, semantic search, prompt engineering, AI agents,



and function calling. Leveraging orchestration frameworks such as LangChain, LlamaIndex, and Semantic Kernel—and familiar with libraries like scikit-learn, TensorFlow, and PyTorch—they design and deploy intelligent assistants, chatbots, document processing pipelines, and workflow automation while ensuring strict adherence to data privacy, governance, and security compliance.

Cloud, DevOps & Data Engineering: The role demands a comprehensive understanding of continuous integration and continuous delivery (CI/CD) pipelines using Jenkins, GitHub Actions, Azure DevOps, or GitLab CI, paired with hands-on containerization and orchestration using Docker, Kubernetes, and OpenShift across major cloud platforms (AWS, Azure, Google Cloud). The engineer maintains continuous visibility into application stability and performance using monitoring suites such as Splunk, ELK Stack, Prometheus, Grafana, and AppDynamics. Their data engineering expertise encompasses schema design, query optimization, and performance tuning across a diverse ecosystem of relational databases (Oracle, MySQL, PostgreSQL) and NoSQL stores (MongoDB, Couchbase, Redis, Cassandra, and Graph databases).

📌 Senior Software Engineer (Hyderabad)
🏢 Virtusa
📍 Hyderabad