Senior Performance Engineer

CloudBees Inc•Denver, CO

17h•$130,000 - $160,000•Hybrid

About The Position

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.

Requirements

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

Nice To Haves

Experience with enterprise DevOps, software delivery, developer platforms, or governance products
Experience testing large-scale Kubernetes or multi-tenant SaaS environments
Experience with OpenTelemetry and observability platforms such as Grafana, Prometheus, Datadog, or New Relic
Experience with chaos engineering, resilience testing, capacity planning, or cost-performance optimization

Responsibilities

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.