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3665BR | EdgeVerve Systems Limited

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3665BR

Job Title

Senior Software Engineer/MTS

Enterprise Integration, Orchestration & Performance Engineering

Experience

3-5 Years

Job Summary

We are seeking a highly skilled Software Engineer to build and enhance enterprise-scale integration and orchestration platforms. The ideal candidate should have strong expertise in Java, Spring Boot, distributed systems, performance engineering, concurrency, memory management, and code quality.

The candidate will work on high-throughput, mission-critical platforms involving workflow orchestration, API development, automation, integration frameworks, and large-scale backend systems. The role requires deep technical expertise in identifying and resolving memory leaks, race conditions, multithreading issues, performance bottlenecks, and scalability challenges.

Mandatory Skills

Core Backend Engineering

- Strong Java programming expertise (Java 17+ preferred)
- Spring Boot and Microservices Architecture
- REST API Design and Development
- Object-Oriented Design Principles and Design Patterns
- SQL and Database Design (PostgreSQL preferred)
- Redis Cache Design and Performance Optimization

Performance & Reliability Engineering

- JVM Internals
- Heap Dump Analysis
- Thread Dump Analysis
- Garbage Collection Analysis
- Memory Leak Detection and Resolution
- CPU and Latency Optimization
- Application Performance Tuning
- Production Incident Troubleshooting

Concurrency & Distributed Systems

- Multithreading
- Concurrent Programming
- Thread Safety Design
- Synchronization Mechanisms
- Race Condition Detection and Prevention
- Deadlock Analysis
- Distributed System Design Principles
- Idempotency and Fault-Tolerant Design

Code Quality & Engineering Excellence

- Strong Code Review Experience
- Ability to review code for:
- Memory leaks
- Resource leaks
- Concurrency issues
- Race conditions
- Deadlocks
- Scalability issues
- Security vulnerabilities
- Performance bottlenecks

- Unit Testing and Integration Testing

AI-Assisted Development (Mandatory)

- Hands-on experience using:
- GitHub Copilot
- Microsoft Copilot
- Claude Code




- Other AI coding assistants

- Experience leveraging AI tools for:

- Code generation
- Code reviews
- Refactoring
- Performance optimization
- Test generation
- Technical documentation

Preferred Skills (Good to Have)

Workflow &

• Orchestration

- Experience building orchestration systems using:
- Temporal
- Camunda
- Conductor
- Custom Workflow Engines

- Design of resilient stateful workflows
- Retry, Compensation, and Recovery Patterns

Apache NiFi

- Designing complex data flows
- Custom Processor Development
- Controller Services
- Flow Performance Tuning
- Cluster Troubleshooting

Python

- Automation Scripts
- Platform Utilities
- Operational Tooling
- Data Processing

Cloud Technologies

- Azure
- GCP
- AWS

Kubernetes &

• Containers

- Docker
- Kubernetes
- Helm

DevOps

- CI/CD Pipelines
- GitHub Actions

Key Responsibilities

- Design and develop enterprise-grade backend applications using Java and Spring Boot.
- Build scalable orchestration and automation platforms.
- Review code with a strong focus on memory management, concurrency, performance, and scalability.
- Identify and fix memory leaks, race conditions, deadlocks, and production performance issues.
- Drive engineering best practices across the codebase.
- Collaborate with architects and product teams to design resilient distributed systems.
- Leverage AI-assisted development tools to improve engineering productivity and code quality.
- Mentor engineers and contribute to architectural decisions.
- Participate in root cause analysis and production incident resolution.

Ideal Candidate The ideal candidate is someone who:

- Thinks like a platform engineer rather than a feature developer.
- Has deep understanding of JVM and distributed systems.
- Can diagnose complex production issues quickly.
- Has extensive code review experience.
- Understands scalability, reliability, and performance at enterprise scale.
- Is comfortable using AI-powered engineering tools as part of daily development workflows.
- Has exposure to integration and orchestration platforms.

What We Value Most

1. Java &

• Spring Boot Expertise

2. Performance Engineering
3. Memory Leak Detection &

• Prevention

4. Multithreading &

• Race Condition Analysis

5. Distributed Systems Design
6. Code Review Excellence
7. AI-Assisted Development (Copilot / Claude Code)
8. Workflow Orchestration Experience

Nice-to-Have

- Apache NiFi
- Python
- Cloud Platforms
- Kubernetes
- DevOps Practices
- Orchestration

Role

Member - Product Engineering

State / Region / Province

KARNATAKA

Work Location

BANGALORE

Company

EdgeVerve Systems Ltd

Practice Unit

EDGEEV

3665BR | EdgeVerve Systems Limited

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📌 Member of Technical Staff (PE) (Karnataka)
🏢 Edgeverve Systems
📍 Karnataka