This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
Wells Fargo is seeking a Senior Software Engineer.
Job Responsibility:
Lead moderately complex initiatives and deliverables within technical domain environments
Contribute to large scale planning of strategies
Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments
Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures
Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements
Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals
Lead projects and act as an escalation point, provide guidance and direction to less experienced staff
Contribute to developing engineering standards and companywide best practices for building large‑scale, complex technology solutions.
Design, develop, test, debug, and document automation and performance engineering components across high‑volume, distributed applications.
Influence engineering direction by evaluating emerging technologies and applying industry best practices to drive new initiatives.
Lead decision‑making for automation and performance engineering methodologies, ensuring alignment with organizational technology standards.
Collaborate with senior technologists, cross‑functional teams, and external experts to resolve highly complex technical issues.
Build and maintain automation scripts using tools such as Selenium, RPA, and performance testing frameworks like LoadRunner or JMeter.
Design, execute, and analyze performance tests including load, stress, soak, break, and chaos scenarios.
Identify performance bottlenecks across UI, API, backend services, and infrastructure layers, providing detailed root cause analysis.
Leverage APM tools (AppDynamics, Splunk, Elastic, Dynatrace, JFR/MAT, etc.) to monitor, analyze, and optimize system performance.
Work hands‑on in Linux environments to troubleshoot logs, processes, resource usage, and system behaviors.
Collaborate on cloud engineering activities including migration, deployment, tuning, and capacity planning across PCF, GCP, and Azure.
Implement CI/CD pipelines using Jenkins and support service virtualization where required.
Evaluate application architectures to identify performance risks and recommend improvements.
Drive projects end‑to‑end, communicating clearly with stakeholders at all levels to ensure alignment and delivery.
Contribute to continuous improvement initiatives and stay updated on evolving performance engineering trends.
Support team development by sharing knowledge, mentoring peers, and fostering collaborative relationships.
Requirements:
4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Strong ability to independently develop automation scripts using tools such as Selenium and RPA frameworks.
Proficiency in creating and executing performance test scripts using LoadRunner, Performance Center, JMeter, BlazeMeter, or similar tools.
Hands‑on experience designing and analyzing load, stress, soak, break, and chaos testing scenarios.
Working knowledge of CI/CD practices with experience implementing Jenkins pipelines.
Familiarity with service virtualization tools and techniques to simulate system dependencies.
Strong capability to analyze performance bottlenecks using monitoring and diagnostic tools and provide detailed root cause analysis.
Proficiency with APM and observability tools such as AppDynamics, Splunk, Elastic, Dynatrace, JFR, JMC, or MAT.
Solid Linux skills, including log analysis, file operations, process monitoring, and system resource evaluation.
General understanding of AI concepts and their relevance to performance engineering.
Hands‑on experience with cloud technologies, including application migration, capacity planning, and tuning.
Knowledge of cloud platforms such as PCF, Google Cloud Platform (GCP), and Microsoft Azure.
Ability to evaluate application architectures and identify improvement opportunities in performance engineering methodologies.
Strong analytical, problem‑solving, and communication skills to collaborate effectively across teams.
Ability to propose innovative and creative technical solutions to complex performance challenges.
Demonstrated ownership mindset with a willingness to learn, adapt, and support continuous improvement initiatives.