Principle Engineer

About this role: Wells Fargo is seeking a Principal Engineer In this role, you will: Act as an advisor to leadership to develop or influence applications, network, information security, database, operating systems, or web technologies for highly complex business and technical needs across multiple groups Lead 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 advanced technology experience, an in-depth knowledge of the organizations tactical and strategic business objectives, the enterprise technological environment, the organization structure, and strategic technological opportunities and requirements into technical engineering solutions Provide vision, direction and expertise to leadership on implementing 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 and managers across the enterprise and serve as an expert advisor to leadership Required Qualifications: 7+ years of 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 8+ years of software engineering, platform engineering, or infrastructure experience, or equivalent demonstrated through work experience, training, military experience, or education 5+ years of experience in AIOps, SRE, production engineering, or large-scale distributed systems operations 4+ years of experience with Python, programming, or scripting languages 2+ years of experience working with Generative AI, large language models (LLM), or foundation models 2+ Agentic AI and Agent building experience Experience with AI-powered development or GitHub Copilot Proven experience designing and implementing observability, monitoring, and automation platforms at scale 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 Posting End Date:   27 Aug 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