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Java Engineers | Microservices, JVM & Distributed Systems, Spring Boot

Exclusive opportunity

Onsite

Java Engineers | Microservices, JVM & Distributed Systems, Spring Boot

EdgeVerve Systems

Java Engineers | Microservices, JVM & Distributed Systems, Spring Boot

Skills

SQL QueriesJavaMicroservicesSpring BootPostgreSQLRedisAIGitHub

1 month ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

7 September 2026

What they need


We are looking for experienced Java Engineers who can build, optimize, and troubleshoot high-performance distributed systems. This role goes beyond application development and requires strong expertise in JVM internals, concurrency, performance engineering, and production diagnostics.

Key Skills

  • Java 17+
  • Spring Boot & Microservices
  • REST API Development
  • PostgreSQL / SQL
  • Redis
  • JVM Internals
  • Heap Dump & Thread Dump Analysis
  • Memory Leak Detection
  • Performance Tuning & Optimization
  • Multithreading & Concurrency
  • Race Condition & Deadlock Analysis
  • Distributed Systems
  • Code Reviews & Testing
  • AI Coding Tools (GitHub Copilot, Microsoft Copilot, Claude Code)
  • Workflow Orchestration (Temporal, Camunda, Conductor)

Mandatory Skills

  • Strong hands-on experience in Java 17+ and Spring Boot
  • Expertise in developing Microservices and REST APIs
  • Deep understanding of JVM Internals, Memory Management, Garbage Collection, Heap Dumps, and Thread Dumps
  • Experience in Performance Tuning, Root Cause Analysis, and Production Issue Troubleshooting
  • Strong knowledge of Multithreading, Concurrency, Thread Safety, Race Conditions, and Deadlocks
  • Experience building and supporting Distributed Systems with a focus on scalability and fault tolerance
  • Good hands-on experience with PostgreSQL/SQL and Redis
  • Strong experience in Code Reviews and engineering best practices
  • Exposure to AI-assisted development tools such as GitHub Copilot, Microsoft Copilot, or Claude Code

Preferred: Experience with workflow orchestration platforms such as Temporal, Camunda, or Conductor

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