Lead Service Delivery Engineer

Wells Fargo & Company•Irving, TX
•Hybrid

About The Position

The Lead Service Delivery Engineer provides technical leadership across enterprise applications, APIs, platforms, and infrastructure to improve how technology services are built, delivered, integrated, and supported. The role leads engineering initiatives focused on automation, platform enablement, CI/CD, service health, technical readiness, performance, security, and self-service capabilities. It partners with application, platform, and infrastructure teams to resolve complex technical challenges and establish scalable engineering solutions. The position also provides technical leadership through architecture, design, code, and technical-readiness reviews; mentors engineers; promotes consistent engineering practices; and evaluates technologies that can improve automation, delivery efficiency, developer experience, and platform capabilities. It requires working in a hybrid environment from one of the posted locations. Visa sponsorship and relocation allowance are not available.

Requirements

  • At least 5 years of Technology Infrastructure Engineering and Solutions experience, or equivalent demonstrated through work experience, training, military experience, education, or a combination.
  • At least 5 years of Technology Engineering, Software Engineering, Infrastructure Engineering, Platform Engineering, DevOps, Service Delivery Engineering, or related experience.
  • At least 4 years supporting large-scale enterprise applications, platforms, APIs, or distributed technology environments.
  • At least 3 years of experience with CI/CD, automated deployment, and software delivery technologies.
  • At least 3 years of experience with Kubernetes, Red Hat OpenShift, or comparable container technology.
  • Strong technical leadership, systems thinking, troubleshooting, and communication skills.

Nice To Haves

  • Experience with ArgoCD, GitOps, GitHub Enterprise, Jenkins, or comparable delivery technologies.
  • Experience with Prometheus, Grafana, Splunk, OpenTelemetry, Elastic, or comparable tooling.
  • Experience with REST APIs, microservices, middleware, API gateways, and service integrations.
  • Experience with performance engineering, capacity planning, high availability, disaster recovery, monitoring, telemetry, dashboards, logging, and service-health tooling.
  • Experience with automation using Python, Go, Java, PowerShell, Bash, or comparable languages.
  • Experience troubleshooting complex technology issues and performing Root Cause Analysis.
  • Experience leading technical initiatives across multiple engineering teams.

Responsibilities

  • Lead engineering initiatives supporting enterprise applications, APIs, platforms, and infrastructure.
  • Establish reusable engineering standards and patterns for automation, deployment, integration, service health, and technical readiness.
  • Lead CI/CD, deployment automation, and software delivery improvements.
  • Develop dashboards, telemetry, health checks, and automated detection capabilities to improve visibility into technology services.
  • Automate repetitive processes and develop self-service capabilities that reduce manual intervention.
  • Lead troubleshooting and Root Cause Analysis for complex issues spanning applications, APIs, platforms, infrastructure, databases, networking, and middleware.
  • Partner with engineering teams to improve application and platform performance, scalability, availability, and supportability.
  • Drive adoption of Infrastructure as Code, Configuration as Code, GitOps, policy-as-code, and automated platform management.
  • Design automated validation, remediation, recovery, and deployment controls.
  • Support high availability, disaster recovery, capacity planning, performance engineering, and recovery testing.
  • Integrate security, vulnerability remediation, governance, and compliance requirements into engineering workflows.
  • Provide technical leadership through architecture, design, code, and technical-readiness reviews.
  • Evaluate new technologies and identify opportunities to improve automation, delivery efficiency, developer experience, and platform capabilities.
  • Mentor engineers and promote consistent engineering practices across teams.
  • Execute applicable risk programs and follow policies and procedures; fulfill risk and compliance obligations, escalate and remediate issues, and make sound risk decisions.
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