Lead Software Engineer

About this role: Wells Fargo is looking for a DevOps Lead 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. 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. Learn more about career areas and lines of business at wellsfargojobs.com. 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. Applies critical thinking and data-driven decision-making to solve complex, ambiguous challenges, while enabling vendor product onboarding and streamlining build and deployment automation to support evolving business needs. Assess technical, operational, and business risks, developing mitigation strategies to support successful delivery of strategic initiatives. Contribute to large-scale planning and execution of platform engineering and DevOps strategies Design, develop, test, automate, deploy, and support solutions across applications, Vendor Products and infrastructure domains. 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. Required Qualifications: 5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education 5+ years of build-deploy automation and configuration experience within the Linux and Unix environment. 5+ years of Gradle experience. 5+ years of experience troubleshooting environments across the entire architecture (i.e. applications to infrastructure). 5+ years of experience with Linux OS environment. 5+ years of Python experience. 5 + years of experience with server administration and job creation using Jenkins Continuous Integration server, Github Actions. 5+ years of expertise in Kubernetes and OpenShift (OCP), with strong knowledge of platform architecture, networking, storage, and observability to support reliable and scalable solutions. 5+ years of experience with DevOps practices in an enterprise environment including CI/CD pipelines and DevOps-focused collaboration. 5+ years of experience with Terraform including module engineering, state management, and execution in an enterprise environment. 5+ years of proficient to advanced experience with IaC (infrastructure as code) processes and tooling in an enterprise environment. 5+ years of experience with Google Cloud Platform (GCP) including management of GCP resources with Terraform in an enterprise environment. 5+ years of proficient to advanced experience with git/github. Desired Qualifications: 3+ years of experience in LLM , Generative AI (developing capabilities for dev/ops). 3+ years of experience in Elastic Search, Vector Database, Model Development would be added benefit. 3+ years of experience with Terraform Cloud/Terraform Enterprise in an enterprise environment. 3+ years of experience supporting AIML solutions in an enterprise environment (GCP preferred but Azure also useful). 5+ 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 additional hours as needed Flexibility to work in a 24/7 environment to support business needs. Relocation assistance is not provided for this position This position offers a hybrid work schedule Location: 1755 Grant St., Concord, CA Pay range: For CA locations only- 143,000.00 - 224,000.00 USD Annual Benefits: Information about Wells Fargo's US employee benefits Information about Wells Fargo's International employee benefits Posting End Date: 14 Aug 2026 * Job posting may come down early due to