Lead Software Engineer - AIOps/Gen AI

Required Qualifications:

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

Desired Qualifications:

• 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

Job Expectations:

• 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.

Posting End Date:

12 Oct 2026

*Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.

Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.

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