DevOps Engineer Google Cloud Platform - Híbrido en Ford Motor Company

At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow’s transportation.

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. The position will collaborate directly and continuously with other engineers, business partners, product managers and designers, and will release early and often.

What you’ll do:

• 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.

What you’ll need

• English proficiency (written and verbal)
• Bachelor’s degree in Computer Science, Computer Engineering or related field of study.
• +2 years of experience in DevOps or Site Reliability Engineering.
• +2 years of experience working with GCP services (Cloud Run, Kubernetes Engine, Cloud Storage, Apigee, etc.).
• +2 years of 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.

Even better if you have:

• GCP Professional Cloud DevOps Engineer certification.
• Understanding of MLOPs/Machine Learning Life Cycle and common machine learning frameworks: Sklearn, Tensorflow, Pytorch etc.
• Experience applying Agile practices to solution delivery.
• Knowledge of GenAI technologies.
• Experience in DevSecOps using tools such as Artifact Registry, Quay, SonarQube, Checkmarks, Fossa, etc.

Ford Motor Company is an Equal Opportunity Employer, as we are committed with a diverse workforce, and do 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.