About this role:
Wells Fargo is seeking a Senior Site Reliability Engineer to provide technical leadership, mentorship, and guidance to a team responsible for the stability, reliability, availability, performance, and continuous improvement of enterprise workplace technology platforms.
In this role, you will promote Site Reliability Engineering (SRE) standards and best practices across observability, service level indicators (SLIs), service level objectives (SLOs), error budgets, incident and problem management, automation, and operational resilience. You will leverage telemetry and data-driven insights to identify risks, reduce incident frequency and recurrence, and drive continuous reliability improvements.
You will also help improve the stability of workplace technology platforms through intelligent automation, Agentic AI capabilities, and low-code/no-code solutions. This includes providing technical leadership for AI-assisted incident triage, root cause analysis, workflow automation, proactive remediation, and self-healing capabilities to improve operational efficiency and the end-user experience.
In this role, you will:
- Lead or participate in high level technical concepts spanning technology and business
- Develop specifications for complex infrastructure systems, design and test solutions
- Contribute to the testing of business, application and technical infrastructure requirements
- Drive solutions to reduce recovery
- Review and analyze solutions for cloud security, secrets management and key rotations
- Design, code, test, debug and document programs using Agile development practices
- Design complex system upgrades
- Resolve troublesome trends as they develop
- Develop a long range plan designed to resolve problems and prevent them from recurring
- Direct the daily risk and control flow of operations, focusing on policies, procedures and work standards to ensure success
- Collaborate and consult with peers, colleagues and managers to resolve issues and achieve goals
Required Qualifications:
- 4+ years of Technology Infrastructure Engineering and Solutions experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- 2+ years of experience developing software, automation, or data processing solutions using Python
- 2+ years of experience with observability and monitoring technologies such as Splunk, Grafana, Prometheus, Elastic, or similar tools
Desired Qualifications:
- Prior experience with Wells Fargo technology systems
- Strong knowledge of Site Reliability Engineering principles and practices, including observability, service level indicators (SLIs), service level objectives (SLOs), error budgets, incident management, problem management, and operational resilience
- Experience developing Generative AI or Agentic AI solutions
- Knowledge of large language models (LLMs), prompt engineering, retrieval-augmented generation (RAG), AI-assisted workflows, and API-based AI integrations
- Experience with workflow automation and low-code/no-code platforms
- Experience using operational telemetry and data analytics to identify trends, anomalies, and opportunities for proactive remediation
- Experience with observability and monitoring platforms such as Splunk, Grafana, Prometheus, Elastic, or similar technologies
- Experience with containers, Kubernetes, and Infrastructure as Code practices
- Strong problem-solving, communication, and collaboration skills
Job Expectations:
- Must be able to work onsite at one of the posted locations
- Sponsorship is not available for this role
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.
$87,000.00 - $168,000.00
Posting End Date:
3 Nov 2026
*Job posting may come down early due to volume of applicants.