Senior Java Developer - Cloud Native Platform Engineering

Job Title : Senior Java Developer (Cloud-Native Platform Engineering)

Experience : 7 - 11 Years

Location : Ahmedabad / Pune

Educational Qualification : BS/MS in Computer Science or related Engineering discipline

About the Role :

We are building a dedicated engineering team to design and develop a modern, cloud-native enterprise platform for a global client. This engagement involves building scalable backend systems, secure APIs, and high-performance distributed services from the ground up. You will work closely with client stakeholders and a high-caliber engineering team to deliver robust, secure, and production-grade solutions in a long-term strategic engagement.

Key Responsibilities :

• Design and build scalable backend services using Java & Spring Boot

• Develop distributed microservices handling high-volume identity and access telemetry

• Architect secure, versioned REST APIs

• Design systems for risk evaluation, correlation, and real-time data processing

• Implement authentication and authorization mechanisms (OAuth2, JWT, RBAC)

• Build cloud-native applications deployable across AWS / Azure / GCP

• Work on AI-integrated service workflows and analytics-driven engines

• Implement asynchronous communication using Kafka / RabbitMQ / SQS

• Develop high-performance, multithreaded backend services

• Design fault-tolerant, resilient microservices

• Integrate with enterprise systems (Directory services, IAM systems, SaaS platforms, etc.)

• Implement logging, monitoring, and observability pipelines

Technology Stack :

• Backend : Java 17/21, Spring Boot (3.x), Spring Security, Microservices Architecture, REST API Design

• Cloud & DevOps : AWS / Azure / GCP, Kubernetes, Docker, CI/CD pipelines

• Data & Storage : PostgreSQL / MySQL, Redis, NoSQL databases (MongoDB preferred), Data modeling & query optimization

• Messaging & Streaming : Apache Kafka, RabbitMQ, AWS SQS

• Security & Identity : OAuth2, JWT, RBAC, Strong understanding of identity and access patterns

• Observability : Prometheus, Splunk, Metrics, tracing, logging pipelines

Preferred Exposure :

• Working with AI/ML-integrated systems

• Behavioral analytics pipelines