Senior Manager - Performance Engineering

New
BrazilFull-TimeManager
Salary not disclosed
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Job Details

Experience
7+ years
Required Skills
AWSJavaJMeterC#Azure

Requirements

  • 7+ years of experience in performance, load, and chaos testing for enterprise systems
  • 7+ years of leadership experience managing engineering or platform teams
  • Strong experience with cloud platforms such as AWS, Azure, or Google Cloud
  • Expertise in performance testing tools such as JMeter, LoadRunner, Gatling, K6, and Gremlin
  • Experience with front-end performance tools such as Dotcom-Monitor or LoadView
  • Strong understanding of web performance metrics (PSI, CrUX) and observability strategies
  • 2+ years of experience with monitoring tools such as New Relic, Dynatrace, Splunk, or Noibu
  • Strong development skills in languages such as Java and C#
  • Experience in platform engineering and scalable performance architecture design
  • Strong understanding of Agile, DevOps, and Lean engineering principles
  • Data-driven mindset with strong analytical and problem-solving abilities
  • Interest or exposure to GenAI and agentic AI in engineering workflows
  • Strong stakeholder management and communication skills
  • Bachelor’s degree in Computer Science or equivalent (Master’s preferred or equivalent experience)

Responsibilities

  • Design and implement AI-enabled performance, load, and chaos testing platforms
  • Build and evolve greenfield performance engineering systems across cloud and edge environments
  • Lead global performance testing efforts across eCommerce and retail digital platforms
  • Define performance metrics strategy, including web performance indicators and business-relevant KPIs
  • Oversee implementation of tools for load testing, chaos engineering, and performance monitoring
  • Collaborate with engineering, SRE, QA, and product teams to ensure platform adoption and alignment
  • Establish observability and monitoring frameworks using modern tooling and best practices
  • Drive continuous improvement in performance engineering processes and automation strategies
  • Partner with global teams across US, India, and Latin America to ensure execution consistency
  • Explore and integrate GenAI and agentic AI solutions into performance engineering workflows
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