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Staff Performance Engineer
| Company | Ironclad |
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| Location | San Francisco, CA, USA |
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| Salary | $190000 – $210000 |
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| Type | Full-Time |
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| Degrees | |
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| Experience Level | Senior |
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Requirements
- 5+ years of experience in performance engineering with a strong focus on optimization, scalability, and system reliability.
- Hands-on expertise in performance testing methodologies, including load, stress, chaos, and capacity testing.
- Proficiency in performance testing tools such as JMeter, K6, Gatling, Locust, or other industry-standard frameworks.
- Deep experience in performance tuning and optimization across databases, applications, and infrastructure.
- Strong system design principles and proficiency in programming/scripting with Java, JavaScript, or TypeScript.
- Hands-on experience with performance monitoring and observability tools such as Datadog, New Relic, Prometheus, and Grafana.
- Strong analytical and problem-solving skills, with the ability to quickly identify and resolve performance bottlenecks.
- Experience with containerization technologies (e.g., Docker, Kubernetes) is a plus.
- Self-driven and adaptable, able to work independently and collaborate effectively in a fast-paced, high-impact environment.
Responsibilities
- Design and execute performance tests using various tools and techniques to identify bottlenecks and performance issues.
- Own end-to-end performance testing, including strategy, requirements gathering, test planning, scripting, execution, monitoring, and results analysis.
- Collaborate with engineering teams to diagnose and resolve performance issues across application code, infrastructure, and database layers.
- Monitor and analyze performance metrics using tools like Datadog or New Relic, and provide optimization recommendations.
- Develop and maintain performance testing frameworks, and coverage scripts, ensuring scalability and automation.
- Conduct in-depth performance analysis and tuning, participate in code reviews, and offer deep performance insights.
- Work with stakeholders to understand and establish performance requirements, refine performance benchmarks, KPIs, and SLAs.
- Stay up to date with performance best practices and emerging technologies to continuously improve system reliability.
Preferred Qualifications
- Experience with containerization technologies (e.g., Docker, Kubernetes) is a plus.
