Context

DROÏDE is part of SNCF’s SPID program and modernizes maintenance and rolling-stock assignment tooling for TGV fleets (inOui & OuiGo). The initiative aligns with the Socle Maintenance roadmap, leveraging a fully automated AWS serverless architecture that digitizes GOF, COPROD, PLANIF and H00 processes.

Responsibilities

• Developed TypeScript AWS Lambda functions managing requests, appointments and operational events (GOF, COPROD, PLANIF, H00)
• Implemented asynchronous workflows with AWS SQS, DLQ and CloudWatch observability
• Designed responsive Angular interfaces for planning and intervention tracking
• Integrated and synchronized data across PostgreSQL and DynamoDB stores
• Containerized workloads with Docker and Serverless Framework packaging
• Automated Jenkins CI/CD pipelines (tests, quality gates, deployments)
• Partnered closely with maintenance stakeholders using Agile / Kanban practices

Deliverables

• AWS Lambda catalogue (intervention handling, scheduling, notifications)
• Domain Angular interfaces for planning and operational visibility
• AWS SQS/SNS messaging flows with dedicated CloudWatch dashboards
• PostgreSQL data models and synchronized DynamoDB tables
• Industrialized Jenkins pipelines (build, tests, serverless deployments)
• Functional and technical documentation aligned with the Maintenance Hub

Outcomes

• H00 standardized: Fully automated return-to-service pipeline
• Faster planning: Dedicated interfaces reducing intervention preparation time
• Enhanced observability: Real-time flow monitoring and proactive CloudWatch alerting
• Data robustness: Reliable synchronization between relational and NoSQL stores
• SPID roadmap impact: Key contribution to the Maintenance Hub application vision