MEX
20 hours ago
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. • 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. • 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. **Requisition ID** : 41018
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