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 verwandelt reale Daten dank KI und virtuellen Zwillingen in verwertbare Beweise. Konvertieren Sie massive Informationsflüsse in geschäftliche Erkenntnisse, die die Performance im gesamten Unternehmen steigern.
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