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Lead Software Engineer- Performance Engineering + Python

https://www.wellsfargo.com/ Logo

Wells Fargo

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Location:
India , Hyderabad

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

Wells Fargo is seeking a Lead Software Engineer- Performance Engineering

Job Responsibility:

  • Own the end‑to‑end performance, scalability, and resilience strategy for the Tachyon/MLOps platform
  • Serve as the technical lead and single point of accountability for performance engineering outcomes
  • Define, design, and execute comprehensive performance testing across UI, API, microservices, and event‑driven systems
  • Build scalable performance test frameworks and automation utilities using Python or Java
  • Identify performance bottlenecks across application layers (UI, API, database, infrastructure) and perform deep‑dive root cause analysis
  • Analyze performance test results, create test plans, and document findings through PIAs and engineering artifacts
  • Lead complex technical initiatives and collaborate with cross‑functional teams including development, QA, DevOps, and platform engineering
  • Optimize and tune application configurations for cloud environments (e.g., OCP, autoscaling, load balancing)
  • Utilize APM tools (AppDynamics, OTEL) and analyze performance dumps (thread, heap, JFR) to diagnose issues
  • Create dashboards in Grafana and Splunk for observability, monitoring, and resource analysis
  • Implement performance engineering best practices across teams and mentor performance engineers
  • Develop custom scripts or automation workflows to support performance testing and environment validation
  • Assess risks early in the performance testing lifecycle and recommend mitigation strategies
  • Contribute to continuous improvement initiatives, process enhancements, and operational efficiency.

Requirements:

  • 5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • Strong proficiency in performance engineering across UI, API, microservices, and event‑driven architectures
  • Hands‑on expertise with performance testing tools such as LoadRunner Enterprise (LRE), JMeter, BlazeMeter, and DevTest for service virtualization
  • Advanced programming capabilities in Python and Java for building automation utilities, custom scripts, and performance tooling
  • Deep understanding of AI/ML, GenAI, and Agentic AI concepts as applied to performance engineering and platform scalability
  • Strong skills in performance bottleneck analysis across application, database, infrastructure, and cloud layers
  • Proficiency with APM tools (AppDynamics, OTEL) and experience analyzing thread dumps, heap dumps, and JFR profiles
  • Ability to design and tune performance for cloud‑native microservices running on platforms such as OpenShift (OCP), including autoscaling and load balancer optimization
  • Skilled in creating observability dashboards and analyzing logs using Grafana and Splunk
  • Strong understanding of microservices architecture, event‑driven systems, and distributed environments
  • Ability to write shell scripts for monitoring and resource capture on Unix environments
  • Demonstrated ability to assess risks early in the performance lifecycle and recommend mitigation strategies
  • Effective communicator with strong collaboration skills, able to work with development, DevOps, QA, and platform teams
  • Proven capability to lead performance engineering initiatives and mentor fellow engineers.

Additional Information:

Job Posted:
February 14, 2026

Expiration:
February 19, 2026

Employment Type:
Fulltime
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