DevOps Engineer

hace 3 semanas


Ciudad de México, Ciudad de México Ford A tiempo completo

Join to apply for the DevOps Engineer role at Ford México

Job Description

The Global Data Insight & Analytics organization is looking for a DevOps Engineer focused on building and driving the strategy forward for our internal Data Science / AI / ML teams and platforms. This role will work in a small, cross-functional team and will collaborate directly and continuously with other engineers, business partners, product managers, and designers, releasing early and often.

Responsibilities
  • Work closely with Tech Anchor, Product Manager, and Development Team to design, implement, and manage GCP-based infrastructure.
  • Innovate and standardize DevOps best practices.
  • Experiment, innovate, and share knowledge with the team.
  • Proficiency in using GIT for version control, git actions, and collaboration.
  • Lead by example in use of Paired Programming for cross-training/upskilling, problem-solving, and speed to delivery.
  • Optimize and automate deployment pipelines and CI/CD processes.
  • Optimize cloud resource utilization and costs.
  • Implement monitoring, logging, and alerting solutions.
  • Collaborate with development teams to improve application security, performance, and reliability.
  • Ensure security best practices are followed across our cloud infrastructure.
  • Experience with integration and performance testing, including scaling and load testing.
  • Integrate GCP services with existing on-premises infrastructure, including high-performance computing (HPC) systems.
Qualifications
  • English proficiency (written and verbal).
  • A bachelor's degree in computer science, computer engineering, or a similar technical discipline.
  • 3+ years of experience in DevOps or Site Reliability Engineering.
  • Strong proficiency with GCP services (Cloud Run, Kubernetes Engine, Cloud Storage, Apigee, etc.).
  • Experience with Infrastructure as Code (e.g., Terraform, Cloud Deployment Manager).
  • Proficiency in scripting languages (e.g., Python, Bash, PowerShell).
  • Knowledge of CI/CD tools (e.g., Tekton, Cloud Build).
  • Strong problem-solving and communication skills.
  • Experience in DevSecOps using tools such as Artifact Registry, Quay, SonarQube, Checkmarks, Fossa, etc.
  • Experience in container management solutions (e.g., Kubernetes, Docker, GKE).
  • Knowledge of security practices in cloud environments.
  • Experience managing FIM groups and integrating with corporate SSO systems.
Desired Skills
  • GCP Professional Cloud DevOps Engineer certification.
  • Understanding of MLOPs/Machine Learning Life Cycle and common machine learning frameworks (Sklearn, Tensorflow, Pytorch, etc.) is a big plus.
  • Experience applying Agile practices to solution delivery.
  • Knowledge of GenAI technologies and concepts is a plus.

Ford Motor Company is an Equal Opportunity Employer, committed to a diverse workforce, and does not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability.

Seniority Level

Not Applicable

Employment Type

Full-time

Job Function

Engineering and Information Technology

Industries

Motor Vehicle Manufacturing

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