Software Engineer

Ford Motor Company is looking for an experienced Software Engineer with strong programming skills to lead, manage, and speed up development for the Ford Enterprise Technology (Ford-ET) Atlassian Team. The team owns, manages, operates, and builds integrated solutions for the Enterprise Technology Atlassian platform/portfolio (Jira, ROVO, Jira Service Management, Jira Product Discovery, Assets, Analytics, and Marketplace applications), enabling Skill Teams and customers to deliver quickly, with quality and confidence, while preserving traceability, visibility, and accountability. In this role, you will own all development across the Ford-ET Atlassian portfolio: architecture, source control, security compliance, testing and quality automation, release governance, CI/CD & artifact management, and AI-assisted engineering. You will lead and own the work in each of these areas and help create a more integrated, self-service experience for Atlassian customers throughout Enterprise Technology.

Ford Motor Company is looking for an experienced Software Engineer.

Responsibilities:

• Lead and oversee all development work for the Ford-ET Team.
• Build, own, and maintain the Ford-ET GCP architecture, framework, and projects.
• Establish, coordinate, monitor, and maintain a repeatable development process.
• Plan, execute, and track software development projects and activities.
• Identify and resolve technical issues and support the Ford-ET Atlassian portfolio and its development so it runs smoothly and efficiently.
• Simplify complex ideas and communicate them clearly, both verbally and in writing.
• Identify opportunities to enhance customer experience, application usability, development processes, and data-handling efficiency.
• Actively participate and contribute in all team agile ceremonies:
• Backlog Refinement and Planning
• Stand-ups
• Retrospectives

Skills:

• Must have excellent Python development skills.
• In-depth knowledge of Google Cloud Platform (GCP) and its related services.
• Hands-on familiarity with Atlassian Jira REST and GraphQL API endpoints.
• Familiarity with Azure, Entra ID, and the Microsoft Graph API.
• Experience with CI/CD build tools (e.g., GitHub Actions, Tekton).
• Practical understanding of AI, including agents and agentic workflows.
• Scripting experience in Bash or Python.
• Strong analytical and problem-solving abilities.
• Proficiency with Atlassian Cloud tools, including Jira, ROVO, Jira Service Management, Jira Product Discovery, Assets, Analytics, Confluence, and Marketplace applications.
• Ability to work collaboratively and navigate complex decision-making scenarios.
• Experience with command-line interfaces (GCloud, GitHub, Vault, OpenShift), as well as Linux, Shell, and Bash.

Responsibilities:

• Lead and oversee all development work for the Ford-ET Team.
• Build, own, and maintain the Ford-ET GCP architecture, framework, and projects.
• Establish, coordinate, monitor, and maintain a repeatable development process.
• Plan, execute, and track software development projects and activities.
• Identify and resolve technical issues and support the Ford-ET Atlassian portfolio and its development so it runs smoothly and efficiently.
• Simplify complex ideas and communicate them clearly, both verbally and in writing.
• Identify opportunities to enhance customer experience, application usability, development processes, and data-handling efficiency.
• Actively participate and contribute in all team agile ceremonies:
• Backlog Refinement and Planning
• Stand-ups
• Retrospectives

Skills:

• Must have excellent Python development skills.
• In-depth knowledge of Google Cloud Platform (GCP) and its related services.
• Hands-on familiarity with Atlassian Jira REST and GraphQL API endpoints.
• Familiarity with Azure, Entra ID, and the Microsoft Graph API.
• Experience with CI/CD build tools (e.g., GitHub Actions, Tekton).
• Practical understanding of AI, including agents and agentic workflows.
• Scripting experience in Bash or Python.
• Strong analytical and problem-solving abilities.
• Proficiency with Atlassian Cloud tools, including Jira, ROVO, Jira Service Management, Jira Product Discovery, Assets, Analytics, Confluence, and Marketplace applications.
• Ability to work collaboratively and navigate complex decision-making scenarios.
• Experience with command-line interfaces (GCloud, GitHub, Vault, OpenShift), as well as Linux, Shell, and Bash.