Performance Test Engineer (QA PCS)
Performance Test Engineer
Unlock your potential with Dassault Systèmes, a global leader in Scientific Software Engineering as a Performance Test Engineer in Pune, India
Role Description & Responsibilities:
As a PCS QA Engineer, your missions will be:
• Design, develop, and execute performance test scenarios for AI-based applications and services.
• Develop and maintain performance testing scripts using Apache JMeter and Locust.
• Conduct load, stress, endurance, and scalability testing for APIs and AI systems.
• Analyze system performance metrics and identify bottlenecks across CPU, memory, network, and application layers.
• Validate performance and scalability of LLM-based applications, AI agents, and vector database systems.
• Collaborate with development, AI/ML, DevOps, and infrastructure teams to optimize system performance.
• Integrate performance testing into CI/CD pipelines and automation workflows.
• Prepare detailed performance reports with findings, recommendations, and optimization strategies.
• Support root cause analysis and performance tuning activities for production and pre-production environments.
Qualifications:
• Education: Engineering graduate with a minimum of 60% throughout academics.
• Basic hands-on experience with Apache JMeter and Locust.
• 1–3 years of hands-on experience in:
o Designing performance test scenarios
o Preparing performance test scripts
o Executing performance tests using industry-standard performance testing frameworks
• Strong programming skills in either:
o Python
o Core Java
• Good understanding of:
o Operating System concepts
o System profiling
o Software quality engineering principles
• Good to have scripting knowledge in:
o Shell scripting
o Bash scripting
• Proven experience in testing AI-based systems with knowledge of:
o GPU concepts
o Large Language Models (LLMs)
o Agentic AI systems
o Vector databases
• Experience using profiling and monitoring tools to identify bottlenecks related to:
o API performance
o CPU utilization
o Memory utilization
o Network latency
o System throughput
• Experience working with CI/CD and version control tools such as:
o Jenkins
o SVN
o GitLab
• Good to have experience in:
o API test automation
o Simulation and lab experimentation for performance analysis
• Familiarity with monitoring and observability tools such as:
o Grafana
o Prometheus
• Exposure to cloud and container technologies is an added advantage:
o Docker
o Kubernetes
o AWS/GCP/Azure
• Strong analytical mindset, attention to detail, and proactive attitude.
• Excellent written and verbal communication skills in English
What is in it for you?
• Work in a culture of collaboration and innovation
• Opportunities for personal development and career progression
• Chance to collaborate with a multinational and multidisciplinary team
Inclusion statement

NETVIBES elevates real-world data into actionable evidence thanks to AI and virtual twin experiences. Transform massive information flows into business insights that drive performance across the enterprise.
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