Cloud Software Engineer

Details:

Stefanini Group is hiring!

Stefanini is looking for a Cloud Software Engineer, Dearborn, MI

For quick apply, please reach out to Adil Khan at 248-728- 6424/[email protected]

We are seeking Cloud Software Engineer who will support the development and deployment of Telemetry & Observability Platform, integrating vehicle, diagnostic, engineering, manufacturing, and software data. Work with an Agile team to build cloud-native services, data integrations, user-facing features, and platform monitoring, while helping deliver scalable, cost-efficient cloud infrastructure for enterprise teams.

Responsibilities

• Build and integrate REST APIs, backend services, data-processing functions, and event-driven workflows.
• Develop integrations with approved vehicle, service, engineering, manufacturing, and software-factory data sources.
• Support ingestion, normalization, validation, storage, and retrieval of telemetry and diagnostic information.
• Contribute to web-based interfaces and dashboards that present diagnostic, operational, AI-performance, and platform-health information.
• Implement logging, metrics, distributed tracing, error handling, and health checks for platform services.
• Write unit, integration, API, and automated regression tests.
• Participate in code reviews and address feedback related to maintainability, performance, security, and coding standards.
• Support CI/CD pipelines, containerized deployments, configuration management, and cloud-environment troubleshooting.
• Assist with integrating AI services through governed APIs and standardized interface contracts.
• Implement role-based access controls and follow enterprise security, privacy, data-retention, and auditability requirements.
• Create and maintain technical documentation, including API specifications, deployment instructions, support procedures, and design notes.
• Participate in backlog refinement, estimation, sprint planning, demonstrations, and retrospectives.
• Investigate defects and operational issues using logs, metrics, traces, and other platform evidence.
• Identify technical risks, dependencies, and blockers, and communicate them promptly to the delivery team.