YOUR RESPONSIBILITIES
- Design and implement backend services for an incident‑automation platform, including telemetry processing, orchestration, workflow execution, case/ticket integrations, and platform APIs
- Evolve the current architecture from tightly coupled workflows and database‑driven logic to a modular, event‑driven, and scalable backend platform
- Build and maintain reliable integrations with charger telemetry, ticketing/case systems, service workflows, and customer‑facing product components
- Improve workflow reliability, idempotency, retry mechanisms, state management, error handling, and auditability across automated playbooks
- Collaborate with product, service, R&D, and data engineering teams to translate operational playbooks into maintainable backend capabilities
- Contribute to technical decisions on rules/policy handling, workflow orchestration, context modeling, observability, and system scalability
- Support the implementation of secure, governed, and monitorable AI/agent‑based backend capabilities where appropriate
- Help define engineering standards, testing strategies, deployment patterns, and the long‑term backend architecture
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Key Responsibilities
- Align R&D digital initiatives with strategic priorities.
- Identify opportunities to digitalize and streamline R&D processes.
- Manage digital transformation projects from planning to delivery (scope, time, budget).
- Ensure a key user approach for relevant R&D applications is established, including UAT coordination and first-level support.
- Ensure effective communication, stakeholder alignment, and change adoption.
- Support Data Governance (integrity, traceability, access control, audit readiness).
- Promote compliance, quality, safety, and CSR guidelines.
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