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Key details
Job Description
- 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, including troubleshooting deployment issues and providing light Python debugging support.
- Support Google Cloud sandbox environments used by the team; 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 (FCP) resources, following applicable security and governance processes.
- Help users determine the appropriate account or service identity for a resource and investigate cases where the required service account or permission is unavailable.
- Coordinate with Global Data and Intelligence (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 assets created or maintained by the team, including helping ensure that ownership, access, and supporting information are handled appropriately.
- Help prepare team web applications for the team’s 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 that common tasks can be completed consistently.
- Work with GDIA, FCP, and relevant IT organizations to route requests, clarify requirements, and resolve issues that are outside the team’s direct control.
What success looks like:
- Team members can get access and get unblocked: data requests and cloud-access issues are routed, tracked, and resolved through clear, dependable processes.
- Development environments are dependable: team sandboxes and analysis tools are maintained, and recurring problems are documented and addressed efficiently.
- Applications are easier to deploy and support: team members receive practical help packaging and deploying internal applications, with common steps made repeatable.
- Access is handled responsibly: service accounts, permissions, and data-stewardship activities follow the appropriate security and governance expectations.
- Cross-team work is effective: requests involving GDIA, FCP, or IT partners are communicated clearly and followed through to resolution.
- Support becomes more sustainable: recurring fixes and operational knowledge are captured, reducing avoidable one-off troubleshooting.
- 3+ years experience in:
- Experience with Google Cloud Platform (GCP), 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, or enterprise IT and cloud-support teams.
- Experience packaging and deploying internal web applications or supporting a shared team application platform.

