DevOps Engineer

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.
- 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.
- 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.
- 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.
- 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.