Lead Software Engineer - SRE & AIOps

About this role:
Wells Fargo is seeking a Lead Software Engineer Platform Management Engineering Services, within Enterprise Functions Technology (EFT) focuses on scaled horizontal enterprise solutions that are stable, secure, and always on. EFT Engineering Services is seeking a Lead Software Engineer (SRE) to work closely with other custom developers and a peer Site Reliability Engineering practice within EFT supporting multiple technology divisions. We believe that "Hope is not a Strategy" and we solve operational issues through code.
In this role, you will:

• Lead complex technology initiatives including those that are companywide with broad impact
• Act as a key participant in developing standards and companywide best practices for engineering complex and large-scale technology solutions for technology engineering disciplines
• Design, code, 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
• Make decisions in developing standard and companywide best practices for engineering and technology solutions requiring understanding of industry best practices and new technologies, influencing and leading technology team to meet deliverables and drive new initiatives
• Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achieve goals
• Lead projects, teams, or serve as a peer mentor

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
• Prior experience driving SRE discipline/adoption across a portfolio
• 5+ years working with configuration, CI/CD and automation such Ansible, Jenkins, Gitlab, Artifactory
• 5 + years of Unix or Linux administration experience
• 2+ years of design, implementation and governance experience with Artificial Intelligence, Natural Language Processing or Machine Learning architecture, GenAI

Desired Qualifications:

• Excellent verbal and written communication skills. Experience presenting to senior leadership
• Experience with Observability/Monitoring technologies: Splunk, Elastic Stack/ELK, Grafana, AppDynamics, Prometheus, Kafka
• Experience with Container technologies: Kubernetes, Docker, PKS
• Experience with Agile Scrum (Daily Standup, Sprint Planning and Sprint Retrospective meetings) and Kanban
• Instantiate Site Reliability Engineering and AIOPs capabilities at Wells Fargo Enterprise Functions Technology (EFT) igniting the practice, principles, and culture leading by example.
• Assist in training skilled peer engineers by growing the practice within EFT and partnering with peer platform embedded SRE teams.
• Drive enterprise observability initiatives through monitoring, logging, tracing, alerting, synthetic testing, and telemetry standards.
• Partner with engineering teams to design resilient cloud-native architectures and improve system reliability across distributed services.
• Introduce and mature the adoption of enterprise capabilities, tools, and innovation improving availability in a multi-cloud ecosystem by evolving observability, monitoring, logging, synthetic monitoring and chaos engineering.
• Evolve AIOPS, introducing self-healing and autonomic capabilities solving for complex operational and systemic issues with precision including, automating processes, leveraging Robotic Process Automation and AI/ML to improve availability of products we provide to customers
• Automate key SRE metrics and IT Service Operations processes including customer impact, availability of critical business flows, SLO/SLI adherence, error budget, and reduce time to recovery.
• Share support responsibilities for critical applications and customer journeys including leading technical resolution of high priority incidents with cross-functional partners, remediation of issues, conducting of blameless postmortems, root cause analysis and introduce continuous improvement solving problems once and for all with the goal of no repeats.
• Closely collaborate with EFT application development teams and other peer organizations to influence and drive stability and SRE aligned capability.

Job Expectations:

• We are looking for a Lead Software Engineer who enjoys and thrives on solving complex problems through innovation impacting change at scale in a diverse environment.
• You will join a focused team of Application Support and SREs introducing and advancing SRE discipline across several hundred applications and multiple vertical lines of business supporting the entire firm.
• The team will drive technology transformation and adoption of SRE-aligned enterprise capabilities and products, launch new tooling enablement, automate away complex issues, and integrate with the latest technology.
• Site Reliability Engineers leverage their experience as software and systems engineers to ensure applications onboarded to SRE are available, have full stack observability, introduce continuous improvement through code and automation, provide operational insight through analytics, continuously test, are integrated with CI/D, and work with application teams to ensure products and service we provide are always on.
• Proven technical expertise with most of the below skills:
• Monitoring, Observability and AIOPS: Splunk Observability Cloud, Big Panda, Grafana, Prometheus, Elastic, AppDynamics
• Software Development: Python and/or combination of other object oriented and scripting language(s).
• Automation: Ansible, Amelia, Terraforms
• Database: SQL, Oracle, PLSQL, MongoDB, RDBMS and NOSQL, Basic Data Modeling.
• OS and Platform: Azure, GCP, PCF, Kubernetes, OpenShift, Linux, Windows.
• CI/CD: EPL/EPLX, Jenkins, Gitlab, SonarQube, Artifactory, Liquibase
• Track record of creating innovative and complex automation solutions a combination of tooling and code.
• Experience applying AI, Generative AI, Machine Learning, or AIOps solutions within software engineering and production operations.
• Ability to work in a hybrid office environment
• Ability to support outside of regular business hours, as needed

Posting End Date:
4 Oct 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.
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