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
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