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 (http://www.wellsfargojobs.com/en/life-at-wells-fargo/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.
This role leads complex, large-scale technology initiatives and shapes enterprise-wide engineering standards. It involves designing, developing, and reviewing sophisticated technology solutions while contributing to the buildout of Generative AI platform capabilities. The position is responsible for delivering AI/ML models to both on-prem and cloud platforms (GCP Vertex AI, Azure ML), participating in daily Agile routines, and providing subject-matter expertise to data science and engineering teams.
You will work closely with platform, strategy, and development teams to define infrastructure needs and enable application migration to cloud environments. The role also requires researching emerging technologies, establishing best practices, and driving automation-focused engineering innovations. As a technical expert within DTI, you help guide teams across the organization.
The ideal candidate has strong hands-on experience in Linux environments, CI/CD automation, DevOps tooling, Terraform/IaC, cloud engineering (GCP preferred), Python development, and containerization. Additional strengths include experience with Generative AI/LLM capabilities, vector databases, AIML operations, cloud certifications, and modern cloud-native technologies such as Kubernetes and Docker. The role demands the ability to lead complex technical discussions, troubleshoot across full-stack architectures, and drive enterprise-scale engineering solutions.
Pay Range
Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.
$120,000.00 - $196,000.00
Benefits
Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs (https://www.wellsfargojobs.com/en/life-at-wells-fargo/benefits) for an overview of the following benefit plans and programs offered to employees.
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
Posting End Date:
26 Feb 2026
*Job posting may come down early due to volume of applicants.
We Value Equal Opportunity
Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.
Applicants with Disabilities
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo (https://www.wellsfargojobs.com/en/diversity/disability-inclusion/) .
Drug and Alcohol Policy
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy (https://www.wellsfargojobs.com/en/wells-fargo-drug-and-alcohol-policy) to learn more.
Wells Fargo Recruitment and Hiring Requirements:
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.
Req Number: R-518040
