Lead Software Engineer - AIOps/Gen AI

Wells Fargo is seeking a Lead Software Engineer.

• Lead complex technology initiatives including those that are companywide with broad impact
• Act as a key participant in developing standards and companywide best practices for engineering complex and large scale technology solutions for technology engineering disciplines
• Design, code, test, debug, and document for projects and programs
• Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives, enterprise technological environment, and technical challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented technical factors
• Make decisions in developing standard and companywide best practices for engineering and technology solutions requiring understanding of industry best practices and new technologies, influencing and leading technology team to meet deliverables and drive new initiatives
• Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achieve goals
• Lead projects, teams, or serve as a peer mentor

• 5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

• Deep expertise in AIOps platforms and tools (e.g., Prometheus, AppDynamics, Splunk, ITRS Geneos, BigPanda, OpenTelemetry ecosystems)
• Strong experience with AI/ML for IT operations, including anomaly detection, event correlation, forecasting, and intelligent alerting
• Hands-on experience with automation frameworks (e.g., Ansible, Terraform, or similar) and event-driven architectures
• Strong understanding of SRE principles, SLIs/SLOs, error budgets, and reliability engineering practices
• Experience building self-healing systems and closed-loop remediation workflows
• Proficiency in cloud platforms and cloud-native architectures (Kubernetes, microservices)
• Knowledge of data pipelines, streaming platforms (Kafka), and telemetry ingestion/processing
• Familiarity with GenAI/LLM-assisted operations, including incident summarization, knowledge mining, and automated runbook generation
• Ability to operate across complex organizational structures with strong stakeholder management and communication skills
• Proven ability to define target-state architecture, operating models, and actionable roadmaps

• Ability to manage multiple high-complexity engineering initiatives with significant enterprise impact
• Strong analytical, problem-solving, and architectural design skills
• Excellent communication and documentation skills (e.g., Confluence, Git, architecture diagrams)
• Comfortable driving transformation and influencing senior leadership in a fast-paced, evolving environment
• This position is not open to visa initiation or transfer

This role sits at the core of CCIBT's Zero Touch Production (ZTP) transformation agenda, driving the strategy, architecture, and execution of next-generation AIOps capabilities across the enterprise. You will define and deliver intelligent, autonomous operations by leveraging AI/ML, observability, automation, and event-driven architectures to minimize manual intervention, improve resilience, and enable self-healing systems.

You will partner closely with senior engineering, platform, SRE, and business leaders to accelerate AIOps adoption, embed intelligence into production ecosystems, and deliver measurable improvements in availability, efficiency, and operational risk reduction.