We are looking for an experienced Senior Manager, Performance Engineering who loves retail and has a passion for delivering best-in-class experiences for consumers and best-in-industry performance engineering platforms, AI Agents, and tools.

The Senior Manager, Performance Engineering will be responsible for designing and implementing AI enabled and agentic platforms and systems for performance, load and chaos testing for our e-Commerce and Retail systems in the cloud and on edge devices. We seek to reimagine a greenfield platform to measure performance and resilience of Levi's digital systems.

This role is LATAM based and will coordinate with and interact regularly with US, India, and Latin America-based teams executing performance, load and chaos testing.

The role involves designing and implementing internal systems and adapting publicly available best-in-breed tools to measure performance and resilience across our enterprise.

These systems support work developed by squads in eCommerce and Retail systems for all global markets.

Experienced Performance Engineering leader with 7+ years’ experience testing performance, load and chaos for enterprise projects

7+ years of people leadership, including building and leading high-performing platform engineering teams (hiring, coaching, performance management), setting technical direction and delivery standards, and partnering with Product, Engineering, SRE/Operations and QE leaders to drive platform adoption, execution, and measurable outcomes

5+ years experience in cloud systems – Google Cloud Services, Amazon Web Services, and/or Azure

Subject matter expertise in K6, LoadRunner, JMeter, Gatling, Gremlin and related systems

Exposure to DotCom Monitor and/ Load View for front end performance testing

Deep understanding of web and site performance metrics (including PSI and CrUX) with the ability to evolve the metrics strategy over time—define what to measure, why it matters, and how to instrument, collect, and operationalize signals into narratives that enable leadership decision-making

2 years+ experience using monitoring and observability tools such as New Relic, Splunk, Noibu, Dynatrace or similar systems

Strong development skills in languages such as C# and Java

Strong curiosity and exploration in the use of GenAI and Agentic AI to partner with human engineers in getting work done in better ways

Demonstrated expertise in platform engineering and platform design, specifically in performance platforms

Proven track record of driving process improvements and implementing scalable performance testing solutions.

Strong analytical skills with the ability to use data and metrics to interpret monitoring and derive recommendations / actions.

Stay up to date with emerging trends and technologies in Performance Engineering

Comprehensive understanding of Agile, DevOps and Lean Software principles.

Strong communication and stakeholder management skills

Required: Bachelor’s degree in Computer Science or equivalent; Masters degree preferred. Demonstrated work experience designing and implementing performance platforms and automation tools is acceptable in place of education.