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Wells Fargo Logo Wells Fargo · IT - Software Development

Lead Software Engineer – Microservices, Observability & AI Platforms

United States, Phoenix · Job Posted May 29, 2026
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Job Description

Wells Fargo is seeking an experienced Lead Software Engineer within Technology Engineering to design, develop, and lead scalable backend applications and platform services. This role requires deep expertise in modern backend technologies, strong architectural skills, and the ability to mentor engineers while partnering closely with product and distributed engineering teams.

Job Responsibility

  • 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 backend and platform solutions
  • Design, code, test, debug, and document backend systems, APIs, and platform services for projects and programs
  • Design and implement scalable architecture patterns including microservices, API-first, and distributed systems
  • Design and develop scalable telemetry, observability, and analytics solutions to support real-time operational visibility and decision-making
  • Develop and optimize Splunk dashboards and analytics to enable real-time insights, advanced alerting, and historical analysis
  • Develop Splunk analytics that power real-time operational insights, advanced alerting, historical analysis, and AI/ML model inputs
  • Design and build Beacon / Telemetry APIs to capture application, platform, and business signals
  • Build and maintain telemetry ingestion services and pipelines that collect, normalize, store, and enrich data for analytics and AI/ML use cases
  • Contribute to leveraging AI/ML techniques for operational intelligence, anomaly detection, and automation opportunities
  • Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives and technical challenges that require in-depth evaluation
  • Make decisions in developing companywide best practices for engineering and technology solutions, influencing teams 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

Requirements

  • 5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • 4+ years of experience in Java (Spring Boot / Microservices) or Python (APIs, backend services)
  • 4+ years of experience designing and building microservices and distributed systems
  • 3+ years of experience in API design and development (RESTful services)
  • 3+ years of system design and architecture experience for scalable, high-performance applications
  • 3+ years of experience working with cloud-native or containerized platforms (Kubernetes, OpenShift, or similar)
  • 2+ years of experience with CI/CD pipelines, DevOps practices, and automated testing frameworks
  • Strong understanding of data structures, algorithms, and design patterns
  • Experience building and optimizing Splunk dashboards using advanced SPL techniques including multi-stage pipelines, statistical functions, joins, lookups, and data enrichment
  • Experience developing Splunk analytics for real-time insights, alerting, and historical analysis
  • Experience designing and developing Telemetry / Beacon APIs for capturing application and business signals
  • Experience building and maintaining telemetry ingestion pipelines and services
  • Strong understanding of telemetry standards and concepts (logs, metrics, traces, events)

Nice to have

  • Experience with Observability / Monitoring tools such as Splunk, AppDynamics, Dynatrace, Datadog, or similar
  • Exposure to AI / ML / GenAI / Agentic AI use cases
  • Experience with event-driven architecture or streaming platforms (Kafka or similar)
  • Experience building or supporting enterprise-scale, highly available applications
  • Excellent problem-solving and analytical skills
  • Strong communication and stakeholder-management abilities
  • Ability to lead by influence and example in a fast-paced environment
  • Knowledge of API integrations, distributed systems, and backend performance optimization
  • Familiarity with modern development tools, frameworks, and engineering best practices
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