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Senior Site Reliability Engineer
2 months ago
We are seeking a highly skilled Senior 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.
- 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 working with configuration and monitoring technologies such as Ansible, Grafana, Elastic, Splunk, Prometheus.
- Strong verbal, written, and interpersonal communication skills.
- 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 (Daily Standup, Sprint Planning, and Sprint Retrospective meetings) and Kanban.
- Ability to travel up to 10%.
- In-office expectations of three days at one of listed locations.
We offer a comprehensive set of benefits, including health benefits, 401(k) Plan, paid time off, disability benefits, life insurance, critical illness insurance, and accident insurance. We also offer parental leave, critical caregiving leave, discounts and savings, commuter benefits, tuition reimbursement, scholarships for dependent children, and adoption reimbursement.
We value diversity, equity, and inclusion in the workplace and welcome applications from all qualified candidates. We are an equal opportunity employer and comply with all applicable laws prohibiting discrimination in employment.
