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Wells Fargo

DevOps Senior Software Engineer

Posted 7 Hours Ago
Be an Early Applicant
Hybrid
2 Locations
120K-196K Annually
Senior level
Hybrid
2 Locations
120K-196K Annually
Senior level
About this role:
Wells Fargo is looking for a DevOps Senior Software Engineer to support the
Digital Technology & Innovation organization. It involves full-stack software engineering-designing, testing, debugging, and documenting solutions-while also reviewing and evaluating advanced technical architectures that support both tactical and strategic business goals.
Learn more about career areas and lines of business at wellsfargojobs.com.
Summary:
The ideal candidate brings strong experience in Linux, DevOps, CI/CD pipelines, infrastructure as code (Terraform), containerization (Docker, Kubernetes, OpenShift), cloud platforms (GCP, Azure), AI/ML operations, and cloud-native toolchains. Additional strengths include hands-on Generative AI/LLM capabilities, vector databases, observability stacks, and leading technically complex discussions. Strong analytical, problem-solving, and communication skills are essential.
In this role, you will:
  • 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, provides SME guidance to data science teams
  • Collaborates closely with engineering, platform, and strategy teams to define infrastructure requirements and support cloud migration.
  • Leads large-scale, complex technology initiatives and helps 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, enterprise technological environment, and technical challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented technical factors.
  • Researches industry trends, evaluates new technologies, and drives the adoption of automation-first practices
  • Participate in developing Generative AI Platform Capabilities.
  • Act as an expert resource for other technical teams within DTI.

Minimum requirements:
  • 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • 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.

Job Expectations:
  • This position is not eligible for Visa sponsorship or transfer of visa
  • Ability to work on-site at approved location
  • Relocation assistance is not available for this position

Locations:
  • 1755 Grant, Concord, CA
  • 333 Market St., San Francisco, CA

Pay Range :
Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to achievements, skills, experience, or work location. The range listed is just one component of the compensation package offered to candidates.
For CA locations only- 120,000.00 - 196,000.00 USD Annual
Benefits:
  • Information about Wells Fargo's US employee benefits
  • Information about Wells Fargo's International employee benefits

Posting End Date:
20 Feb 2026
*Job posting may come down early due to volume of applicants.

Top Skills

Ai/Ml
Azure
Ci/Cd
DevOps
Docker
GCP
Generative Ai
Git
Gradle
Jenkins
Kubernetes
Linux
Maven
Observability Stacks
Openshift
Terraform
Vector Databases
HQ

Wells Fargo San Francisco, California, USA Office

420 Montgomery St, San Francisco, CA, United States, 94103

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