Member of Technical Staff (PE)

• 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.

• 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)

• JVM Internals
• Heap Dump Analysis
• Thread Dump Analysis
• Garbage Collection Analysis
• Memory Leak Detection and Resolution
• CPU and Latency Optimization
• Application Performance Tuning

• Multithreading
• Concurrent Programming
• Thread Safety Design
• Synchronization Mechanisms
• Race Condition Detection and Prevention
• Deadlock Analysis
• Distributed System Design Principles

• Strong Code Review Experience

• Memory leaks
• Resource leaks
• Concurrency issues
• Race conditions
• Deadlocks
• Scalability issues
• Security vulnerabilities
• Performance bottlenecks

• GitHub Copilot
• Microsoft Copilot
• Claude Code
• Other AI coding assistants

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

• Temporal
• Camunda
• Conductor
• Custom Workflow Engines
• Design of resilient stateful workflows

• Designing complex data flows
• Custom Processor Development
• Controller Services
• Flow Performance Tuning

• Automation Scripts
• Platform Utilities
• Operational Tooling

• Azure
• GCP

• Docker
• Kubernetes

• CI/CD Pipelines

• 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

• 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.

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

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

Disclaimer This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.