Easter Seals Jobs

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.

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.

Requisition ID : 41017