Workforce Compute Ops SRE Senior Infrastructure Engineer

What you'll do

• Promote SRE standards including SLIs, SLOs, error budgets, and operational resilience across enterprise platforms.
• Leverage telemetry and data-driven insights to identify risks and reduce incident frequency.
• Develop and implement intelligent automation, Agentic AI, and low-code/no-code solutions for platform stability.
• Provide technical leadership for AI-assisted incident triage, root cause analysis, and proactive remediation.
• Design, code, test, and document programs using Agile development practices for complex infrastructure systems.
• Review and analyze solutions for cloud security, secrets management, and key rotations.
• Develop long-range plans to resolve recurring problems and prevent future system failures.
• Direct the daily risk and control flow of operations focusing on policies and work standards.

What we're looking for

• 4+ years of Technology Infrastructure Engineering and Solutions experience.
• 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, or Elastic.
• Prior experience with Wells Fargo technology systems (preferred).
• Strong knowledge of SRE principles including SLIs, SLOs, error budgets, and incident management (preferred).
• Experience developing Generative AI or Agentic AI solutions (preferred).
• Knowledge of LLMs, prompt engineering, RAG, and API-based AI integrations (preferred).
• Experience with containers, Kubernetes, and Infrastructure as Code practices (preferred).