Senior Software Engineer - AIOps & SRE

About this role:

The Technology for the Chief Operating Office (TCOO) organization, provides technology services for the Chief Operating Office. This includes operations, control executives, strategic execution, business continuity and resiliency, data solutions and services, regulatory relations, customer experience, enterprise shared services, supply chain management, and the corporate properties group. TCOO provides technology solutions and manages application portfolios for these groups to support modernization and optimization.

Within TCOO we are seeking a Senior Engineer who enjoys and thrives on solving complex problems through innovation impacting change at scale in a diverse environment. You will join a focused team of engineers introducing and advancing Artificial Intelligence for IT Operations (AIOps) and SRE discipline across several hundred applications and multiple vertical lines of business supporting the entire firm.  The team will drive technology transformation and adoption of AIOps & SRE aligned enterprise capabilities and products, launch new tooling enablement, automate away complex issues and integrate with the latest technology. 

In this role, you will:

• Deliver instantiation of AIOPs Agentic AI for SRE capabilities at Wells Fargo Technology for the Chief Operating Office (TCOO) igniting the practice, principles, and culture leading by example
• Help drive adoption of enterprise capabilities, tools, and innovation improving availability in a multi-cloud ecosystem by evolving observability, monitoring, logging, synthetic monitoring and chaos engineering
• Evolve AIOPS, introducing self-healing and autonomic capabilities solving for complex operational and systemic issues with precision including, automating processes, leveraging Process Automation and AI/ML to improve availability of products we provide to customers
• Automate key SRE metrics and IT Service Operations processes including customer impact, availability of critical business flows, SLO/SLI adherence, error budget, and reduce time to recovery
• Share support responsibilities for critical applications and customer journeys including leading technical resolution of high priority incidents with cross-functional partners, remediation of issues, conducting of blameless post mortems, root cause analysis and introduce continuous improvement solving problems once and for all with the goal of no repeats
• Closely collaborate with TCOO teams and other peer organizations to influence and drive AIOps and SRE aligned capability  
• Execute the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas or the enterprise, delivering solutions that are long-term, large-scale and require vision, creativity, innovation, advanced analytical and inductive thinking
• Translate AI engineering knowledge and business requirements into technical engineering solutions
  Leverage expertise to implement innovative and significant business solutions
• Maintain knowledge of industry best practices and new technologies and recommends innovations that enhance operations or provide a competitive advantage to the organization
• Strategically engage with all levels of professionals across the enterprise and serve as an expert

Required Qualifications:

• 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 3+ years working with AI tooling such as Spark, Tensorflow, Kafka, Pytorch and Flink​
• 2+ years of FinTech experience
• 2+ years of experience with Cloud technologies
• 2+ years of experience supporting enterprise level complex applications and platforms in Production
• 1+ years of AIOps experience 
• 1+ years of designing and building complex observability solutions leveraging industry standard toolset and or custom built solutions
• 1+ years working with configuration and monitoring technologies such as Ansible, Grafana, Elastic, Splunk, Prometheus or AppDynamics.

Desired Qualifications:

• A Masters degree or higher in related field
• 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
• Prod-level deployment of AIOps solutions and demonstrated ability to integrate AI/ML solutions into IT operations workflows.
• Excellent communications, interpersonal, and presentations skills utilizing PowerPoint across technical and non-technical groups

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