Java Architect

Description :

Key Responsibilities :

Backend Development & Architecture :

- Design, develop, and maintain high-performance backend services using Spring Boot.

- Implement and secure applications with Spring Security, OAuth2, and JWT-based authentication.

- Build scalable, distributed systems following Microservices architecture principles.

- Collaborate with architects to design robust and efficient system components.

Identity & Access Management (IAM) :

- Implement and manage IAM solutions for authentication, authorization, and identity governance.

- Work with protocols like OAuth2.0, OpenID Connect, SAML, and Role-Based Access Control (RBAC).

- Ensure compliance with security standards and best practices.

AI & ML Integrations :

- Integrate applications with Embedding models, GPT models, and other LLMs.

- Collaborate with data scientists/ML teams to incorporate basic AI algorithms into backend services.

- Work with vector embeddings, tokenization flows, and API-based LLM interactions.

DevOps, CI/CD, and MLOps :

- Set up and maintain CI/CD pipelines for backend and AI-enabled components.

- Work closely with DevOps/MLOps teams to automate model deployment and service rollout processes.

- Ensure smooth and reliable deployment across staging and production environments.

Programming & Integrations :

- Use Python for backend integrations, automation scripts, and AI-related workflows.

- Build hybrid features where Java and Python components interact.

- Develop RESTful APIs, asynchronous services, and event-driven architectures.

Database & Caching :

- Work with PostgreSQL for relational data modeling, optimization, and complex queries.

- Use Redis Cache for caching, session management, and high-performance operations.

- Ensure high availability and optimal data flow across services.

Cloud Deployment :

- Deploy and manage services on Google Cloud Platform (GCP) including Compute Engine, Cloud Run, Pub/Sub, and GKE.

- Optimize cloud usage, cost monitoring, and performance tuning.

- Implement logging, monitoring, and alerting solutions.

Collaboration & Leadership :

- Work closely with cross-functional teams ML, DevOps, Frontend, and QA.

- Participate in sprint planning, technical discussions, and architecture reviews.

- Mentor junior developers and uphold engineering best practices.

Required Skills & Experience :

- Strong expertise in Spring Boot and Spring Security.

- Proven experience with Microservices-based architectures.

- Hands-on experience in IAM (Identity & Access Management).

- Proficiency with Maven for dependency and build management.

- Working knowledge of Python for backend integrations.

- Database experience with PostgreSQL and in-memory caching with Redis.

- Experience with CI/CD pipelines, preferably with MLOps workflows.

- Experience deploying and scaling applications on GCP.

- Familiarity with embedding techniques and GPT/LLM model integration.

- Understanding of basic AI/ML algorithms.

Nice-to-Have Skills :

- Knowledge of Kubernetes, Docker, and container orchestration.

- Experience with messaging/event systems (Kafka, RabbitMQ, Pub/Sub).

- Exposure to vector databases (Pinecone, Weaviate, ChromaDB).

- Understanding of distributed systems and performance tuning.

- Experience contributing to architectural roadmaps.

Soft Skills :

- Strong ownership mindset and attention to detail.

- Excellent problem-solving and analytical abilities.

- Ability to work in fast-paced, cross-functional teams.

- Clear communication and documentation skills.

What We Offer :

- Opportunity to work on high-impact systems involving AI and next-gen backend architectures.

- Competitive compensation and performance bonuses.

- Collaborative and fast-paced work culture.

- Growth path into Lead Engineer / Backend Architect roles.

- Flexible work setup (Remote/Hybrid based on organization)