Experience :

- 5-8 years of experience in Platform Engineering or Backend Engineering

- Strong experience in scalable and distributed system design

Key Responsibilities :

- 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

Required Skills :

1. Core Engineering :

- Strong backend engineering experience (Java / Python / Node.js preferred)

- Strong understanding of system design and architecture fundamentals

- Strong understanding of distributed systems

- Knowledge of event-driven and scalable architecture concepts

2. Platform Engineering :

- Experience in reusable framework and platform development

- Refactoring and modernization experience

- API and integration design expertise

- Performance optimization and scalability improvements

3. Cloud & Infrastructure :

- Experience with Docker and containerization

- Understanding of AWS and cloud-native concepts

- Knowledge of CI/CD and engineering automation practices

Preferred Skills :

- Experience with workflow and orchestration systems

- Exposure to ECS / Kubernetes

- Understanding of observability and monitoring concepts

- Exposure to Infrastructure as Code (IaC)

- Experience in platform modernization initiatives

Key Traits :

- Strong analytical and problem-solving mindset

- Ability to work on foundational platform constructs

- Strong engineering ownership and technical depth

- Interest in scalable architecture and platform evolution

Success Measures :

- Delivery of scalable and reusable platform capabilities

- Improvements in platform stability and performance

- Reduction in technical debt and architectural complexity

- Faster onboarding of workflow use cases

- Improved engineering scalability and maintainability