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. 

Minimum 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.

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.

•    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.