Lead Systems Operations Engineer

Wells Fargo

Lead Systems Operations Engineer focusing on Kubernetes and OpenShift operations at Wells Fargo. Enhancing automation, stability, and compliance in cloud-native platforms.

Posted 5/22/2026full-timeChandler • Arizona, North Carolina, Texas • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

GrafanaLinuxOpenShiftPrometheusPythonRedisSplunk

About the role

Key responsibilities & impact

Lead complex, broad impact initiatives including provision of high-level systems consultation for the technology teams
Lead day‑to‑day Platform (REDIS, OpenShift) platform operations, including cluster maintenance, upgrades, performance monitoring, and troubleshooting
Improving operations practices to meet new Incident SLA and improving practices during incident & problem management
Serve as an operational lead during incidents, driving rapid diagnosis, resolution, root‑cause analysis, and long‑term corrective actions
Develop or enhance automation (Python, Bash, GitOps workflows, or AI‑assisted tools), build AI Agents, MCP server and tools, add skill in MCP that eliminates manual effort and streamlines run processes
Lead Platform lifecycle activities, including new cluster builds, configuration, onboarding, upgrades, and cluster decommissioning, ensuring consistency, reliability, and compliance across environments
Partner with engineering, SRE, security, and development teams to implement repeatable operational patterns, guardrails, and platform readiness standards
Ensure platform operations follow organizational policies, security standards, audit controls, and regulatory requirements
Identify operational gaps, recurring issues, or inefficiencies and lead initiatives to enhance reliability, resiliency, and operational maturity.

Requirements

What you’ll need

5+ years of Systems Engineering, equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
5+ years of hands-on experience in Python for platform operations automation
5 + years of designing and building complex observability solutions leveraging industry standard toolset and or custom-built solutions
Strong proficiency in writing production-quality Python code by using Python libraries and client integrations
Ability to develop automation solutions, including remediation procedures & workflows and operational tools using Python
3+ years of experience managing complex, enterprise-scale applications in production environments
Extensive experience with configuration and monitoring tools such as Grafana, Splunk, and Prometheus
Deep platform expertise, including cluster build-outs, CI/CD pipeline integration, troubleshooting, debugging, remediation, patching, upgrades, and root cause analysis (RCA)
2+ years of hands-on Linux system administration experience

Benefits

Comp & perks

Participation in on-call rotations

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonBashGitOpsAI-assisted toolsMCP serverobservability solutionsproduction-quality codeLinux system administrationtroubleshootingroot cause analysis

Soft Skills

leadershipproblem managementcommunicationcollaborationoperational maturity