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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Performance Engineer - **Company:** CloudBees - **Location:** Denver, CO, United States - **Experience:** Expert - **Salary:** $130,000.0 - $160,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), JavaScript (Programming Language), .NET Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Software as a Service, Cloud Computing, Profiling, Cyber Security, Nvidia CUDA, Databases, Continuous Integration, Data Files, DevOps, Microprocessors, Distributed Systems, Apache JMeter, Python (Programming Language), Load Testing, Performance Tuning, Reliability Engineering, Prometheus, Software Engineering, TypeScript, Datadog, Cloudbees, Graphics Processing Unit (GPU), Performance Testing, Claude Code, Grafana, Concurrency, Gatling, Gpu Programming, Kubernetes, Information Technology, Low Latency, Modeling and Simulation, ROCm, New Relic (SaaS), Golang, Microservices - **Published:** October 9, 2026 - **Apply:** https://www.builtincolorado.com/job/senior-performance-engineer/11583266?handler=ApplyRedirect ## About the Role * 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 What We Value * 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. Preferred (Not Required): * 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 ## Description 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., Leads performance engineering across the organization by designing load-testing and data-generation frameworks, defining benchmarks and standards, analyzing application, database, and system behavior, and guiding teams in performance optimization. Builds reusable tooling and best practices using k6, JavaScript, Grafana, and InfluxDB while addressing scalability, latency, throughput, and reliability challenges in distributed cloud-native systems., Analyze end-to-end performance of electro-optical and multispectral remote-sensing payloads across radiometric, spatial, and spectral domains. Develop modeling and simulation methods, assess imagery and environmental impacts, support requirements, performance budgets, verification, validation, testing, and design reviews. Collaborate with systems, algorithm, calibration, image-processing, mission-operations, AI&T, and hardware engineering teams. Present technical findings to peers, management, and customers., Develop compiler and high-performance computing solutions that translate .NET and Java bytecode into optimized CUDA and ROCm code for CPUs and GPUs. Analyze customer algorithms, design parallel implementations, extend compilation infrastructure, build reusable libraries, and optimize throughput and latency. Apply expertise in GPU programming, compiler architecture, mathematics, and software engineering to deliver performance matching or exceeding hand-tuned binaries. Top Skills: .NetC#C++Compiler AstsCompiler Optimization PassesCudaGpusIntermediate RepresentationJavaLlvmMulticore CpusRocmTranspilers What you need to know about the Colorado Tech Scene With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation. Key Facts About Colorado Tech * Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey) * Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3 * Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech * Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook) * Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures * Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute