Wells Fargo

Lead Software Engineer

Wells Fargo

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Salary

💰 $119,000 - $224,000 per year

Job Level

Senior

Tech Stack

ApolloAzureCloudDockerGoogle Cloud PlatformGrafanaGraphQLJavaJenkinsKubernetesMicroservicesNoSQLOpenShiftPrometheusPythonReactSplunkSpringSpring BootSpringBootSQLTypeScript

About the role

  • Lead the design, development, and deployment of full-stack solutions that are secure, scalable, and resilient
  • Collaborate with cross-functional teams to deliver enterprise-grade applications and services
  • Lead complex technology initiatives including companywide projects with broad impact
  • Act as a key participant in developing standards and companywide best practices for engineering complex and large scale technology solutions
  • Design, code, test, debug, and document projects and programs
  • Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives
  • Make decisions in developing standard and companywide best practices and influence technology teams
  • Collaborate and consult with key technical experts, senior technology teams, and external industry groups to resolve complex technical issues
  • Lead projects, teams, or serve as a peer mentor and mentor junior engineers
  • Architect and build scalable, secure, and observable systems in cloud-native environments (Azure, GCP, Kubernetes)
  • Drive AI/ML and Generative AI initiatives, contributing to model development, integration, and deployment
  • Collaborate with SREs and platform engineers to enhance system reliability, telemetry, and automation
  • Participate in system design reviews, code reviews, and architecture discussions
  • Troubleshoot complex production issues and lead root cause analysis efforts
  • Contribute to the evolution of CI/CD pipelines and DevOps practices

Requirements

  • 5+ years of experience in full-stack software development
  • Proficiency in Java, React, TypeScript, and Spring Boot
  • Strong understanding of system design, data structures, and algorithms
  • Experience with RESTful APIs, microservices, and containerization (Docker, Kubernetes)
  • Experience with cloud platforms (Azure, GCP, or OpenShift)
  • Familiarity with observability tools (e.g., Grafana, Prometheus, Splunk)
  • Solid understanding of CI/CD pipelines and tools like Jenkins, GitAction, Artifactory
  • Experience with GraphQL, Apollo, or content-driven web applications (desired)
  • Hands-on experience with crafting effective prompts for LLMs and leveraging Python for integration and ML model development (desired)
  • Exposure to AIOps, SRE principles, and infrastructure as code (desired)
  • Strong communication skills and ability to present technical concepts to leadership (desired)
  • Experience with NoSQL databases, SQL optimization, and data modeling (desired)
  • Background in AI/ML and Generative AI projects (e.g., model training, prompt engineering, integration) (desired)
  • Hybrid work environment with occasional travel (up to 5%) and flexibility to work outside regular hours as needed
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