Cloud Solutions Engineer Jobs in Michigan

Overview

At Ford, you’ll work on ideas that matter, alongside passionate people who want to make a global impact. Together, we’re shaping the next era of transportation—grounded in purpose, driven by progress. Make your move.

• Job Type: Full time
• Work Type: Hybrid

The Software Factory in Product Creation and Industrialization delivers scalable software solutions to support technology platforms, programs, suppliers, and internal teams. The Work Management team enables frictionless planning, tracking, and delivery through highly integrated tools and workflows.

The Solutions Engineer is a hands-on platform engineer and solution architect who designs and delivers enterprise-grade solutions across the Atlassian ecosystem (Jira, Jira Service Management, Jira Product Discovery, Assets, Goals/Projects) and adjacent lifecycle tooling for requirements, code and testing.

• Take charge of designing solutions that tackle critical challenges for Product Creation and Industrialization leveraging the Atlassian platform (Jira, Confluence), while setting scalable standards and overseeing governance.
• Configure Jira/JSM/JPD/Assets elements—including workflows, schemes, automations, forms, and SLAs—to optimize delivery and service outcomes.
• Manage Atlassian Cloud administration and its operating model, covering permissions, project and space provisioning, guardrails, audits, and maintaining platform hygiene.
• Develop and maintain integrations and extensions such as Forge apps, REST/GraphQL APIs, and webhooks/events, ensuring robust error handling, monitoring, and supportability.
• Launch AI-powered workflows (such as Atlassian Intelligence/Rovo, GitHub Copilot) by implementing practical governance including approved use cases, knowledge sources, access controls, and guardrails in partnership with our Enterprise Technology partners.

BASIC QUALIFICATIONS

Bachelors Degree in Computer Science, AI or Machine Learning, or related technical field.

• 5+ years with Atlassian cloud tools (Jira, Confluence), including deep expertise in at least one of JSM, JPD, Assets/CMDB, or Goals/Projects; experience with governance, permissions, and automation at scale
• 5+ years integration engineering: REST APIs (GraphQL preferred), webhooks, events, sync patterns, error handling, monitoring and observability
• 3+ years scripting/automation: Python or JavaScript/TypeScript (Node.js); ability to build utilities/services for operations and data movement
• 3+ years hands-on AI enablement: Atlassian Intelligence/Rovo or similar, GitHub Copilot; knowledge of governance, prompt patterns, access controls, guardrails
• Enterprise identity/security: SSO/SAML, OAuth/OIDC, RBAC, least-privilege design
• Requirements/ALM exposure: experience with Jama, Polarion, or PTC Codebeamer; understanding of traceability

PREFERRED QUALIFICATIONS

• Master’s degree in Computer Science, AI/ML, or related technical field
• Experience with DX, Developer Intelligence Platform, configuring reports and supporting operations
• Experience in Atlassian Cloud migrations, scaling, and enterprise operating models
• JSM service management design and automation at scale
• Forge, app evaluation, Compass/GitHub, CI/CD integrations, developer portal/service catalog concepts
• Toolchain integration across requirements, delivery, service management, and reporting
• Data pipelines and analytics for work management via API extraction