Cloud & Data Tools Engineer

Ford Motor • Palo Alto, CA

10d • Onsite

About The Position

Build and deploy Docker container images and run supported applications on Google Cloud services, including Cloud Run. Help data team members deploy and maintain Streamlit applications, troubleshoot deployment issues, and provide light Python debugging support. Support Google Cloud sandbox environments, investigate common issues, and coordinate with cloud support teams when needed. Manage and troubleshoot permissions exceptions and service-account access for Google Cloud and Ford Cloud Portal resources, following applicable security and governance processes. Help users determine appropriate accounts or service identities for resources and investigate cases where required accounts or permissions are unavailable.

Coordinate with Global Data and Intelligence (GDIA) data stewards and other data owners to submit, track, and resolve data-access requests. Perform data-stewardship activities for assets created or maintained by the team, including helping ensure ownership, access, and supporting information are handled appropriately. Help prepare team web applications for the internal web platform, including packaging, deployment, and basic troubleshooting. Support the team website and related applications, including resolving issues that affect usability or routine operation. Assist with data and content workflows for team communication tools, including troubleshooting image or other asset uploads to BigQuery-backed services where applicable.

Document recurring procedures, known issues, and deployment or access guidance so common tasks can be completed consistently. Work with GDIA, Ford Cloud Portal, and relevant IT organizations to route requests, clarify requirements, and resolve issues outside the team’s direct control.

The role is onsite in Dearborn, Michigan, four days per week, and is also open to onsite candidates in Palo Alto. Relocation assistance is provided; visa sponsorship is not provided.

Requirements

• At least 3 years of experience in the listed areas.
• Experience with Google Cloud Platform, particularly Cloud Run and BigQuery.
• Experience developing or supporting Streamlit applications.
• Familiarity with JupyterLab and cloud-based data-analysis environments.
• Experience supporting sandbox environments, service accounts, IAM permissions, or cloud-access workflows.
• Experience working with data stewards, data owners, enterprise IT teams, or cloud-support teams.
• Experience packaging and deploying internal web applications or supporting a shared team application platform.
• Must be legally authorized to work in the United States; employment eligibility will be verified at hire.
• Must work onsite four days per week in Dearborn, Michigan, or as an onsite candidate in Palo Alto.

Responsibilities

• Build and deploy Docker container images and run supported applications on Google Cloud services, including Cloud Run.
• Help team members deploy and maintain Streamlit applications; troubleshoot deployment problems and provide light Python debugging support.
• Support Google Cloud sandbox environments, investigate common issues, and coordinate with cloud support teams.
• Manage and troubleshoot permissions exceptions and service-account access for Google Cloud and Ford Cloud Portal resources, following security and governance processes.
• Help users identify appropriate accounts or service identities for resources and investigate unavailable service accounts or permissions.
• Coordinate with GDIA data stewards and other data owners to submit, track, and resolve data-access requests on behalf of team members.
• Perform data-stewardship activities for team assets, helping ensure ownership, access, and supporting information are handled appropriately.
• Help package, deploy, and troubleshoot team web applications for the internal web platform.
• Support the team website and related applications, resolving issues that affect usability or routine operation.
• Assist with data and content workflows for team communication tools, including troubleshooting asset uploads to BigQuery-backed services where applicable.
• Document recurring procedures, known issues, and deployment or access guidance.
• Coordinate with GDIA, Ford Cloud Portal, and relevant IT organizations to route requests, clarify requirements, and resolve issues.
• Maintain dependable team sandboxes and analysis tools, and address recurring problems efficiently.
• Make application deployment and support easier through practical assistance and repeatable common steps.

Benefits

• Immediate medical, dental, and prescription drug coverage.
• Flexible family care, parental leave, new parent ramp-up programs, and subsidized backup child care.
• Vehicle discount program for employees and family members, and management leases.
• Tuition assistance.
• Employee resource groups.
• Paid time off for individual and team community service.
• Paid holidays, including the week between Christmas and New Year’s Day.
• Paid time off and the option to purchase additional vacation time.
• Relocation assistance.

What This Job Offers

• Job Type: Full-time
• Education Level: No Education Listed