Senior Backend

• 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
• 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)
• Data Modelling & Lifecycle Management
• Ensure alignment with data governance and data quality rules
• Understand and handle data lifecycle complexity (creation, update, deletion, versioning)
• 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
• Ensure solutions are production-ready and observable
• Contribute to:
• Monitoring & observability
• Incident resolution
• Performance optimization
• Support a high availability, multi-tenant platform
• 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)
  

Key Responsibilities

• 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
• 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)
• 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)
• 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
• Operability & Reliability
• Ensure solutions are production-ready and observable
• Contribute to:
  • Monitoring & observability
  • Incident resolution
  • Performance optimization
• Support a high availability, multi-tenant platform
• 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