Principal Engineer

5 days ago


Columbus, Ohio, United States Wells Fargo Full time
About this Role

We are seeking a highly skilled Site Reliability Engineer to join our team at Wells Fargo. As a key member of our Application Support and SRE team, you will play a critical role in introducing and advancing SRE discipline across multiple applications and vertical lines of business.

Key Responsibilities
  • Instantiate Site Reliability Engineering and AIOPs capabilities at Wells Fargo Enterprise Functions Technology (EFT) to drive technology transformation and adoption of SRE aligned enterprise capabilities and products.
  • Assist in training skilled peer engineers by growing the practice within EFT and partnering with peer platform embedded SRE teams.
  • Introduce and mature the adoption of enterprise capabilities, tools, and innovation to improve availability in a multi-cloud ecosystem.
  • Evolve AIOPS, introducing self-healing and autonomic capabilities to solve complex operational and systemic issues with precision.
  • Automate key SRE metrics and IT Service Operations processes to reduce time to recovery.
  • Share support responsibilities for critical applications and customer journeys, leading technical resolution of high priority incidents with cross-functional partners.
Requirements
  • 10+ years of Engineering experience, or equivalent demonstrated through work experience, training, military experience, or education.
  • 7+ years of Java, C#, Python, or other object-oriented software engineering experience.
  • 5+ years of experience performing engineering and support tasks on Linux/Unix and Windows Servers.
  • 3+ years of experience with Cloud technologies.
  • 3+ years of experience supporting enterprise-level complex applications and platforms in Production.
  • 5+ years of designing and building complex observability solutions leveraging industry-standard toolset and/or custom-built solutions.
  • 5+ years of working with configuration and monitoring technologies such as Ansible, Grafana, Elastic, Splunk, Prometheus.
Desired Qualifications
  • A Master's degree or higher in Computer Science or Engineering.
  • Experience with design, implementation, and governance with Artificial Intelligence, Natural Language Processing, or Machine Learning Architecture.
  • Experience with Agile Scrum and Kanban.

Wells Fargo is an Equal Opportunity Employer

We Value Diversity, Equity, and Inclusion



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