Job Description
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
Your Role
As a Performance Tester at Capgemini, you will design and build robust performance testing frameworks from scratch, defining strategies and execution models to ensure scalability, reliability, and optimal system performance.
You will work on modern, distributed systems and cloud environments, leveraging advanced tools and techniques to simulate real-world workloads and identify performance bottlenecks.
This role requires strong expertise in performance engineering, scripting (Python), API-based testing, and CI/CD integration, with a deep focus on improving system efficiency and reliability.
Responsibilities & Scope
- Build and design performance testing frameworks (tools, standards, execution model, reporting)
- Define performance test strategies, workload models, and execution approaches
- Derive realistic workload scenarios using production traffic patterns
- Analyze system architecture to identify critical APIs, dependencies, and workflows
- Develop API-based performance scripts using:
- Gatling (Scala/Java – preferred)
- JMeter / Locust
- Leverage Python (mandatory) for scripting, automation, and custom tooling
- Execute load, stress, scalability, and endurance testing
- Perform deep performance analysis and bottleneck identification (latency, CPU, memory, database, network)
- Conduct root cause analysis and provide performance tuning recommendations
- Integrate and automate performance testing into CI/CD pipelines (Azure DevOps, Jenkins, GitHub Actions)
- Validate scalability in Azure cloud environments (App Services, AKS, Functions)
- Test performance across microservices and distributed systems architectures
- Define and align NFRs, KPIs, and SLAs with stakeholders
- Design and execute reliability and chaos engineering experiments (Azure Chaos Studio, Gremlin)
- Utilize APM and observability tools (New Relic, Datadog, Splunk) to analyze logs, metrics, and traces
- Build dashboards and deliver performance insights and reporting
- Collaborate with Dev, DevOps, and Architecture teams to optimize system performance
Your Profile
Performance Engineering Expertise – Strong experience designing and executing performance testing strategies in complex and distributed environments.
Scripting & Automation Skills – Advanced knowledge of Python and performance testing tools such as Gatling, JMeter, or Locust.
Systems & Architecture Understanding – Solid understanding of microservices, cloud (Azure), and distributed systems performance.
Analytical & Problem-Solving Mindset – Ability to identify bottlenecks, perform root cause analysis, and recommend optimization strategies.
DevOps & CI/CD Integration – Experience embedding performance testing into continuous delivery pipelines.
Observability & Monitoring Focus – Skilled in using APM tools and metrics analysis to drive performance improvements.
What you’ll love
Exposure to top global companies working with Capgemini (145 of the Fortune 500 companies)
Tech solutions and projects driving societal impact and paving the way for a sustainable future
Well-being hub and different wellbeing initiatives
Need to know
Career Development in Spanish & English: Training, certifications, and mentorship programs available in both languages to support bilingual growth.
Community Engagement: Participate in local volunteering initiatives, tech meetups, and cultural events that connect you with the Capgemini community.
About Capgemini
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
At Capgemini Mexico, we aim to attract the best talent and are committed to creating a diverse and inclusive work environment, so there is no discrimination based on race, sex, sexual orientation, gender identity or expression, or any other characteristic of a person. All applications welcome and will be considered based on merit against the job and/or experience for the position.