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Wells Fargo Logo
Senior Site Reliability Engineer

Wells Fargo

 

Irving, TX, USA

Posted On: 3 days ago
Experience: 5+ years
Availability: Hybrid
Openings: 1
Category: Senior Site Reliability Engineer
Tenure: No Preference/Any
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Description

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

Education

Any Graduate

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