Senior Performance Engineer, CloudBees

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
• 7+ years of experience in software engineering, performance engineering, site reliability engineering, or a closely related discipline, including substantial hands-on performance testing experience
• Strong software development skills in at least one language such as Java, Go, Python, or JavaScript/TypeScript
• Hands-on experience with performance and load-testing tools such as k6, Gatling, JMeter, Locust, or equivalent
• Experience automating tests and quality gates in modern CI/CD pipelines
• Strong knowledge of distributed systems, APIs, microservices, containers, Kubernetes, and cloud infrastructure
• Experience analyzing latency, throughput, concurrency, error rates, resource saturation, and capacity limits
• Experience using observability and profiling tools to isolate bottlenecks across application, database, network, and infrastructure layers
• Ability to translate business-critical user journeys and reliability expectations into realistic workloads, measurable thresholds, and actionable engineering recommendations
• Clear written and verbal communication skills, with the ability to influence technical decisions across teams
• Customer Obsessed — You treat customer problems as your own and build relationships with the people behind the logo, not just the account. You can point to decisions you changed because of what a customer told you
• High Agency — You own problems beyond your job description and move without waiting to be asked. When the path isn't defined, you make the call and bring people with you rather than working around them
• Truth Seeking — You hold a strong point of view and update it when the data says otherwise. You argue for the best answer regardless of who's in the room, and once a decision is made, you commit to it fully
• Hard Work — You own the end result, not just your slice of it, and you go beyond what's expected to get there. You work smart as well as hard, and you find real reward in building something demanding alongside people who do the same
• Ship Excellence — You hold a painfully high quality bar and keep raising it, while shipping with urgency instead of waiting for perfect. Every iteration is something you learn from
• Direct Feedback — You give honest, constructive feedback regardless of seniority or tenure, and you actively ask for it in return. You deliver it with enough care that people want to hear it from you

Desirable

• CloudBees is evolving its quality engineering model around automated testing, and this role will help define how performance, scalability, and reliability are engineered into our products from the start
• As a Senior Performance Engineer, you will build performance testing as code, establish measurable baselines and quality gates, and partner with engineering teams to identify and resolve bottlenecks before they reach customers
• You will combine hands-on software engineering, systems thinking, and production telemetry to help CloudBees ship software faster without compromising trust, resilience, or customer experience
• Design and own the performance engineering strategy for the products and distributed services in your domain
• Build and maintain automated load, stress, spike, soak, scalability, and resilience tests as version-controlled code
• Integrate performance tests, thresholds, and regression detection into CI/CD workflows at the appropriate stage of the delivery process
• Partner with service owners and SRE to define meaningful performance baselines, service-level objectives, and release criteria across latency, throughput, error rates, resource use, and scalability
• Diagnose performance bottlenecks using observability data, profiling, tracing, logs, metrics, and disciplined experimentation
• Partner with software engineers, architects, SRE, product, and platform teams to design for performance early in the development lifecycle
• Create realistic, repeatable test environments, workloads, data sets, and capacity models for cloud-native systems
• Develop dashboards and automated reporting that make performance trends, regressions, and risks visible to engineering leaders
• Improve performance engineering practices, tooling, documentation, and technical standards across teams
• Coach engineers on performance testing, measurement, root-cause analysis, and automated quality practices
• Use AI coding agent (Claude code or similar) to build and maintain test suites, generate workloads, and analyze results and apply judgement to what they produce