About this role:

Well Fargo is seeking a highly skilled and forward-thinking Lead Systems Operations Engineer to join our Quality & Test Engineering Operations team within CTO Platform Services team. This role is ideal for someone passionate about building scalable, resilient, and intelligent infrastructure solutions. You will play a key role in driving automation, reducing operational toil, and enabling self-service capabilities through cutting-edge technologies including Generative AI and Agent development.

In this role, you will:

• Lead complex, broad impact initiatives including provision of high level systems consultation for the technology teams
• Work as key participant in large scale planning of computer systems and network infrastructure for Systems Operations functional area
• Review and analyze complex technical challenges, as well as escalated support issues related to core business solutions that require in depth evaluation of multiple factors, such as alternatives, enhancements, periodic systems reviews, or improvements to existing systems
• Make decisions on technical changes and enhancements
• Consult with engineering team on change design requiring solid understanding of technical process controls or standards that influence and drive new initiatives
• Collaborate and consult with technical peers, colleagues, and mid to more experienced level managers to resolve systems support issues and achieve goals
• Collaborate and partner across platform, application, and engineering teams.
• Ability to manage multiple priorities in a fast-paced, high-impact production environment.
• Consistent delivery of high-quality reliability outcomes within expected timelines.
• High attention to detail, data-driven problem-solving, and operational rigor.
• Prior project or initiative leadership experience is highly desirable.

Required Qualifications:

• 5+ years of Systems Engineering, Technology Architecture experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 3+ years of Systems Engineering, Technology Architecture experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 3+ years of Proficiency in leveraging observability platforms such as BigPanda, ThousandEyes, Grafana, Prometheus, ELK, Splunk Observability, and AppDynamics to enhance service reliability and performance monitoring
• 3+ years of experience in IT Service Management (ITSM), with a strong background in incident, problem, and change management processes.
• 3+ years of experience working with Red Hat Enterprise Linux and Kubernetes, with a strong focus on Red Hat OpenShift Container Platform (OCP).
• 3+ years of experience with Site Reliability Engineering and supporting production grade.
• 3+ years of experience with cloud-native architectures, high-availability systems, Cloud & Container Technologies like GCP or Azure and familiarity with Kubernetes.
• 3+ years of experience with Automation & Scripting: including developing and maintaining playbooks.

Desired Qualifications:

• Strong hands-on experience applying SRE practices, including SLI/SLO definition, error budgets, and reliability metrics.
• Proven experience troubleshooting and resolving large-scale, distributed production systems.
• Hands-on experience with observability and monitoring tools such as Grafana, Splunk, Prometheus, Cribl, ThousandEyes, AppDynamics, or equivalent, including dashboards, alerting, logs, and metrics.
• Strong scripting and automation skills using Python, Bash, and/or PowerShell to reduce operational toil.
• Experience building automation or reliability tooling using APIs, Git-based workflows, and modern engineering practices.
• Solid understanding of incident, problem, and change management in enterprise production environments.
• Strong communication and influencing skills across engineering teams and senior leadership.
• Experience with capacity management, performance engineering, and resiliency design (HA, fault tolerance, RTO/RPO).
• Experience operating in hybrid environments (on‑prem + cloud) with complex enterprise dependencies.
• Familiarity with infrastructure automation / IaC tools such as Ansible or Terraform.
• Ability to drive technical debt remediation for critical legacy platforms using structured backlogs.
• Experience mentoring or leading senior engineers in reliability, operations, or SRE-focused roles.
• Experience with Generative AI and Agent development technologies.

Role Expectations:

• Some on-call nights and weekends may be required.
  

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.

Posting End Date:

*Job posting may come down early due to volume of applicants.