Design & Release Engineer responsible for Body Interior components design and compliance at Ford. Leading the engineering processes for vehicle programs to enhance manufacturing efficiency and performance.
About the role
- DevOps Senior Software Engineer at Wells Fargo, developing and managing AI/ML models for cloud platforms. Collaborating across teams to ensure infrastructure needs and deliver complex technology initiatives.
Responsibilities
- Contribute to Generative AI platform development, including delivering AI/ML models to on‑prem and cloud platforms such as GCP Vertex AI and Azure ML
- Participate in daily Agile standups, provide SME guidance to data science teams
- Collaborate closely with engineering, platform, and strategy teams to define infrastructure requirements and support cloud migration
- Lead large‑scale, complex technology initiatives and help establish enterprise-wide engineering standards and best practices
- Design, test, debug, and document for projects and programs
- Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives
- Research industry trends, evaluate new technologies, and drive the adoption of automation‑first practices
- Act as an expert resource for other technical teams within DTI
Requirements
- 4+ years of Software Engineering experience
- 4+ years of build-deploy automation and configuration experience within the Linux and Unix environment
- 4+ years of Gradle or Maven experience
- 4+ years of experience troubleshooting environments across the entire architecture (i.e. applications to infrastructure)
- 4+ years of experience with Linux OS environment
- 3+ years of Python experience
- 3+ years of experience with server administration and job creation using Jenkins Continuous Integration server, Github Actions
- 3+ years of experience with DevOps practices in an enterprise environment including CI/CD pipelines and DevOps-focused collaboration
- 3+ years of experience with Terraform including module engineering, state management, and execution in an enterprise environment
- 3+ years of proficient to advanced experience with IaC (infrastructure as code) processes and tooling in an enterprise environment
- 3+ years of experience with Google Cloud Platform (GCP) including management of GCP resources with Terraform in an enterprise environment
- 3+ years of proficient to advanced experience with git/github
- Preferred Skills: 2+ years of experience in LLM , Generative AI (developing capabilities for dev/ops)
- 2+ years of experience in Elastic Search, Vector Database, Model Development would be added benefit
- 2+ years of experience with Terraform Cloud/Terraform Enterprise in an enterprise environment
- 2+ years of experience supporting AIML solutions in an enterprise environment (GCP preferred but Azure also useful)
- 3+ years of experience with docker/container image development
- Understanding of Urban Code Deploy (UCD) or Harness CD tools
- Associate cloud engineer certification for GCP (or better GCP certification)
- Knowledge and understanding of Cloud computing, PaaS design principles and micro services and containers
- Working knowledge/experience with Azure and/or GCP, as well as some experience building complex infrastructure programmatically with IaC tools (Terraform/Ansible etc.)
- Working knowledge/experience with on-premises and Public Cloud technologies, such as Cloud Foundry, Kubernetes, Docker.
- Experience in leading / facilitating analysis of current systems and problem identification and resolution.
- Ability to lead / facilitate technically complex discussions and working sessions.
Benefits
- Health benefits
- 401(k) Plan
- Paid time off
- Disability benefits
- Life insurance, critical illness insurance, and accident insurance
- Parental leave
- Critical caregiving leave
- Discounts and savings
- Commuter benefits
- Tuition reimbursement
- Scholarships for dependent children
- Adoption reimbursement
Job title
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Experience level
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Degree requirement
Tech skills
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