Key Responsibilities
1. Platform Development & Architecture
- Design and implement backend services supporting MADP capabilities
- Contribute to an event-driven architecture (event sourcing, CQRS, messaging)
- Build and evolve platform-level components (not just feature-specific code)
- Ensure solutions are reusable, scalable, and aligned with platform principles
2. API & Integration Design
- Design and implement robust, versioned APIs for data access and integration
- Ensure backward/forward compatibility and stability of API contracts
- Integrate with upstream and downstream systems (e.g. OnePAM ecosystem)
3. Data Modelling & Lifecycle Management
- Contribute to domain-driven data modelling
- Manage schema evolution, ensuring minimal impact on consumers
- Ensure alignment with data governance and data quality rules
- Understand and handle data lifecycle complexity (creation, update, deletion, versioning)
4. Platform Engineering & CI/CD
- Contribute to CI/CD pipelines, branching strategies, and promotion flows
- Support the separation between:
- Platform lifecycle
- Tenant/domain lifecycle
- Improve automation, deployment standards, and engineering practices
5. Operability & Reliability
- Ensure solutions are production-ready and observable
- Contribute to:
- Monitoring & observability
- Incident resolution
- Performance optimization
- Support a high availability, multi-tenant platform
6. Collaboration & Knowledge Sharing
- Work closely with:
- Architects, Data Stewards, and Product Owners
- Operations and Security teams
- Actively document, explain, and share knowledge
- Contribute to a transparent and maintainable platform (no “black box” systems)
Required Skills & Experience
Core Technical Skills
- Strong experience in backend development (Java / Spring Boot or similar)
- Proven experience with event-driven systems (Kafka or equivalent)
- Solid understanding of:
- Event sourcing and CQRS patterns
- Distributed systems design
- Strong experience in API design and integration patterns
Data & Platform Expertise
- Experience with:
- Data modelling (schema design, evolution)
- Handling data lifecycle and versioning
- Familiarity with data governance and access control concepts
- Experience building or contributing to platforms (not just applications)
DevOps & Engineering Practices
- Knowledge of:
- CI/CD pipelines
- Git branching strategies
- Deployment and release management
- Familiarity with cloud and distributed infrastructure
