Platform Engineer

Role Summary

We are seeking strong Platform Engineers to help build and modernize scalable enterprise workflow and orchestration platforms. The role focuses on designing foundational platform capabilities, reusable constructs, distributed architectures, and scalable engineering systems.

The ideal candidate should be passionate about platform engineering, system design, refactoring, scalability, and building reusable core capabilities rather than only feature-level development.

• 5-6 years of experience in platform engineering or backend engineering
• Strong experience in scalable and distributed system design

• Design and build reusable platform capabilities and foundational services
• Develop scalable backend and orchestration components
• Contribute to workflow engine modernization and platform architecture
• Refactor and optimize existing platform components
• Build resilient and distributed system capabilities
• Collaborate with architects and engineering leads on platform strategy
• Improve performance, scalability, and operational reliability
• Contribute to containerization and cloud-native engineering initiatives

• Strong backend engineering experience (Java/Python/Node.js preferred)
• System design and architecture fundamentals
• Distributed systems understanding
• Event-driven and scalable architecture concepts

• Reusable framework and platform development
• Refactoring and modernization experience
• API and integration design
• Performance optimization

• Docker/containerization
• AWS/cloud-native concepts
• CI/CD and engineering automation understanding

• Experience with workflow/orchestration systems
• ECS/Kubernetes exposure
• Observability and monitoring concepts
• Infrastructure as Code exposure
• Platform modernization initiatives

• Strong analytical and problem-solving mindset
• Ability to work on foundational platform constructs
• Engineering ownership and technical depth
• Interest in scalable architecture and platform evolution

• Scalable reusable platform capabilities delivered
• Platform stability and performance improvements
• Reduction in technical debt and architectural complexity
• Faster onboarding of workflow use cases
• Improved engineering scalability and maintainability