GenAI- SME Performance Testing

Hi, I'm looking for a Load and Performance Architect in Barcelona location Please find below the details: Desired Skills & Qualifications:

• 10+ years of experience in performance testing and engineering, with recent hands-on exposure to GenAI/LLM technologies.
• Strong analytical, problem-solving, and solutioning skills.
• Excellent communication, stakeholder management, and presentation abilities.
• Proven track record of delivering innovative solutions in large, complex environments.
• Certifications in performance testing/engineering and/or AI/ML are a plus. Technical: Performance Testing Expertise:
• Hands-on experience with performance testing of applications (e.g., .

NET, Java, SAP Web, SAP GUI, MQ).

• In-depth knowledge of monitoring (client-side, server-side, DB, network, load balancer).
• Proficiency in analyzing and troubleshooting using APM tools (Wily, AppDynamics, Dynatrace, Splunk, New Relic, etc.).
• Ability to install, configure, and administer performance testing and monitoring tools.
• Experience with Unix/Linux commands (e.g., VMSTAT, NMON), SQL queries, and AWR analysis.
• Understanding of JVM, CLR, and server tuning/optimization.
• Knowledge of AWS, Docker, Kubernetes, and cloud-based performance engineering.
• Experience with CI/CD pipelines and tool integrations (JIRA, GIT, Jenkins, etc.).
• Ability to develop automated tools/scripts for log and report analysis. GenAI Solutioning:
• Ability to evaluate and select appropriate GenAI/LLM models, Agentic AI models, and copilots for PT/PE use cases.
• Experience with prompt engineering, fine-tuning, and integrating LLMs into engineering workflows.
• Knowledge of hosting GenAI solutions (local vs. centralized), user access management, and scaling for enterprise use.
• Awareness of AI/ML best practices, data privacy, and security in GenAI solution deployments.
• Good knowledge of Python/Streamlit is an added advantage, especially for automation and scripting tasks.
• Experience in accessing and integrating Large Language Models (LLMs) through APIs for automation and advanced analytics. Training & Enablement:
• Ability to train internal teams and clients on GenAI solutions, DevOps practices, and performance engineering best practices.
• Experience in creating user guides, technical documentation, and conducting knowledge transfer sessions. Key Responsibilities:
• Assess current performance testing and engineering processes to identify automation and optimization opportunities using GenAI.
• Design, develop, and implement GenAI-powered solutions like AI Agents or simple use case solutioning to reduce manual effort, accelerate testing cycles, and improve accuracy.
• Architect scalable GenAI solutions for enterprise use, considering deployment models, user access, and integration with existing tools.
• Collaborate with client stakeholders to gather requirements, demonstrate solutions, and drive adoption.
• Continuously monitor, test, and refine GenAI solutions for optimal performance and business value.
• Document solution architectures, use cases, and user guides for client reference.
• Stay updated with latest advancements in GenAI, LLMs, and performance engineering tools.