Lead Software Engineer – Application Performance Engineering & Resiliency

Wells Fargo & Company•Minneapolis, MN

8d•$119,000 - $206,000•Hybrid

About The Position

Wells Fargo is seeking a Lead Software Engineer – Application Performance Engineering & Resiliency to lead performance, scalability, reliability, and resiliency initiatives for business-critical, cloud-native applications. This role combines hands-on software engineering expertise with technical leadership across distributed systems built on Java, Kubernetes/OpenShift, microservices, APIs, messaging platforms, and modern cloud technologies. As a trusted technical leader, you will partner with engineering, architecture, platform, and SRE teams to ensure applications are designed, tested, and validated for performance, resilience, and operational excellence. You will drive performance-by-design practices, lead resiliency validation efforts, and establish engineering standards that enable highly scalable and reliable systems supporting millions of transactions in a regulated, high-availability environment. This is an excellent opportunity for an engineer who enjoys solving complex scalability challenges, influencing enterprise architecture decisions, and driving continuous improvements in reliability and engineering excellence.

Requirements

5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
5+ years of significant experience in performance engineering, reliability engineering, or platform engineering.
5+ years of strong hands-on experience developing and supporting enterprise applications using Java, Spring Boot, microservices, and API-based architectures.
3+ years of experience with containerized applications running on Kubernetes, OpenShift, or similar cloud-native platforms.
3+ years of experience troubleshooting production container workloads with deep expertise in JVM and/or CoreCLR diagnostics, including container memory limits, thread dumps, and automated heap dumps.
3+ years of strong experience with observability and monitoring platforms such as Dynatrace, AppDynamics, Splunk, Grafana, Prometheus, OTEL, or similar tools.
3+ years of experience working with messaging technologies such as Kafka and enterprise databases (RDBMS and/or NoSQL).
3+ years of experience integrating testing and validation into CI/CD pipelines and modern DevOps workflows (Harness EPLx or similar tools).

Nice To Haves

Familiarity with functional testing, browser performance analysis (HAR files), and automation frameworks such as Playwright or Selenium is highly desirable.
Knowledge of SRE principles, production operations, resiliency testing, and chaos engineering practices.
Demonstrated ability to lead complex technical initiatives and influence engineering decisions across multiple teams.
Strong communication, stakeholder management, and problem-solving skills.
Experience working in financial services or other highly regulated, mission-critical environments is preferred
Bachelor's degree in computer science, Engineering, or a related technical field, or equivalent practical experience.

Responsibilities

Lead performance engineering and resiliency initiatives across large-scale, distributed application ecosystems.
Define and implement performance, scalability, reliability, and observability standards for cloud-native platforms.
Partner with development teams to embed performance and resiliency requirements throughout the software development lifecycle.
Design and execute performance, load, stress, endurance, failover, and resiliency testing strategies.
Identify and resolve performance bottlenecks across applications, JVMs, APIs, Kubernetes/OpenShift platforms, databases, messaging systems, and infrastructure.
Drive capacity planning, workload modeling, and predictive scaling strategies to support future business growth.
Lead resiliency validation efforts through chaos engineering, fault-injection testing, disaster recovery validation, and high-availability assessments.
Establish and govern Non-Functional Requirements (NFRs), Service Level Objectives (SLOs), and production readiness criteria.
Advance observability practices through monitoring, logging, distributed tracing, and performance analytics.
Integrate automated performance and resiliency validation into CI/CD pipelines and DevOps workflows.
Serve as a technical advisor and mentor, helping engineering teams adopt modern performance engineering and SRE best practices.
Collaborate with stakeholders across engineering, architecture, infrastructure, operations, and vendor organizations to deliver reliable, high-performing solutions.