Senior Performance Engineer

• Leverage AI/LLMs (e.g., OpenAI and firm-approved tools) to automate test selection, analysis, comparison, and certification.
• Translate performance engineering practices into automated, data-driven workflows.
• Integrate testing, monitoring, analytics, and reporting into a cohesive ecosystem.
• Analyze results at scale and compare against historical and production baselines.
• Partner with application, architecture, and infrastructure teams to drive adoption.
• Define and track key performance and resiliency KPIs.
• Produce concise PAG-level insights on coverage, trends, and outcomes.

• 8+ years of experience in Performance Engineering or related disciplines.
• Strong foundation in performance testing, analysis, and certification.
• Experience building or contributing to automation platforms or frameworks.
• Solid understanding of enterprise application architectures (web, distributed, cloud, databases).
• Proficiency in Python for automation, orchestration, and data analysis.
• Experience with performance tools and observability platforms.
• Strong analytical skills and ability to work across teams in a large enterprise., * Experience applying AI/ML or LLMs to engineering or testing workflows.
• Familiarity with CI/CD integration, observability platforms, and resiliency concepts.
• Ability to translate technical outcomes into executive-level insights.
• Experience in regulated financial services environments.

AI tools may assist in the recruitment process; however, all hiring decisions are made by the recruitment team based on a comprehensive evaluation of candidates.