Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted yesterday

Cloud & Data Tools Engineer

Ford Model-e U.S.633 open roles

Where
Palo Alto, CA, United States
Work mode
Hybrid
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowCloud & Data Tools EngineerFord Model-e U.S. · Palo Alto, CA, United States

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Ford Model-e U.S.'s own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

12.7% of postings close within 7 days. Measured by our own scanner across the market. Ford Model-e U.S. postings stay open a median of 8 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.5%3 days
  3. 12.7%7 days
  4. 20.4%14 days
  5. 35.6%30 days
  6. 58.7%60 days
This job: posted yesterday

Ford Model-e U.S. median: 8 days open

The posting

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.

Responsibilities

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.

Qualifications

  • 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.

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!

As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:

• Immediate medical, dental, and prescription drug coverage

• Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more

• Vehicle discount program for employees and family members, and management leases

• Tuition assistance

• Established and active employee resource groups

• Paid time off for individual and team community service

• A generous schedule of paid holidays, including the week between Christmas and New Year’s Day

• Paid time off and the option to purchase additional vacation time.

For a detailed look at our benefits, click here: Benefit Summary

This role is on site in Dearborn, MI, you will be required on-site 4x a week.

*This role is open to ONSITE Palo Alto AND Dearborn candidates*

*Visa Sponsorship IS NOT provided for this specific role*

*Relocation assistance IS provided for this specific role*



Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, If you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.

#LI-Onsite

#LI-DS2

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Ford Model-e U.S.'s own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Ford Model-e U.S.'s form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Ford Model-e U.S.'s answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.