Job Description

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.

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 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 solution: 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.

DISCLAIMER

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.

About the Team

We believe that freedom of movement drives human progress. Ford Information Technology (IT) is shaping the future of mobility by redefining the transportation landscape, enhancing the customer experience and improving people's lives. Join the Ford family as we change the way the world moves.