Cloud Software Engineer

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/adil.khan@stefanini.com

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.

Skills Required

• AWS, Google Cloud Platform (GCP), REST APIs, Java, JavaScript, SQL, Kubernetes, Docker, Apigee, Agile software development, Software Development Lifecycle (SDLC), GitHub, Spring Boot

Skills Preferred

• Understanding of agentic AI workflows and data-pipeline development and processing.
• Familiarity with AI evaluation strategies using RAGAS, retrieval-augmented generation (RAG), vectorization, and LLM orchestration.

Experience Required

• 2–5 years of software development experience, Programming experience in one or more relevant languages, such as Python, Java, JavaScript, or TypeScript.
• Experience developing or consuming REST APIs and working with structured data formats such as JSON.
• Experience with relational databases, SQL, and basic data modeling.
• Experience using Git-based source control and participating in peer code reviews.
• Familiarity with automated unit and integration testing.
• Basic understanding of cloud computing, containerization, and CI/CD practices.
• Ability to diagnose software issues using application logs and debugging tools.

Experience Preferred

• Experience with Google Cloud Platform services such as Google Kubernetes Engine, Pub/Sub, Cloud Storage, or Cloud SQL.
• Experience with Docker, Kubernetes, Terraform, or similar cloud-native technologies.
• Experience developing frontend applications using React and TypeScript.
• Familiarity with event-driven architecture, asynchronous processing, and data pipelines.
• Experience implementing platform observability using logs, metrics, traces, dashboards, and alerting.
• Familiarity with OpenTelemetry or comparable observability standards and tooling.
• Experience with API specifications and tools such as OpenAPI or Swagger.
• Familiarity with authentication, authorization, role-based access control, and secure coding practices.
• Experience in integrating AI or machine-learning services through APIs.
• Familiarity with prompt management, AI response validation, confidence scoring, or human-feedback capture.
• Experience with telemetry, automotive diagnostics, connected-vehicle data, manufacturing information, or engineering lifecycle systems.
• General knowledge of diagnostic concepts such as DTCs, CAN, UDS, or DoIP is beneficial but not required.
• Experience working in an Agile or Scrum delivery model.

Education Required

Education Preferred

About Stefanini Group

The Stefanini Group is a global provider of offshore, onshore and near shore outsourcing, IT digital consulting, systems integration, application, and strategic staffing services to Fortune 1000 enterprises around the world. Our presence is in countries like the Americas, Europe, Africa, and Asia, and more than four hundred clients across a broad spectrum of markets, including financial services, manufacturing, telecommunications, chemical services, technology, public sector, and utilities. Stefanini is a CMM level 5, IT consulting company with a global presence. We are a CMM Level 5 company.

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