What You'll Do
Take ownership of performance testing architecture by building and refining frameworks that deliver meaningful insights into system behavior. Use tools like k6, JavaScript, and Grafana to generate realistic workloads and monitor performance across distributed environments. Translate complex metrics into clear, actionable feedback for development teams.
Establish standards for performance measurement and document architectural decisions that shape long-term scalability. Work closely with engineering groups to identify bottlenecks, recommend fixes, and validate improvements through repeatable testing processes. Promote a culture of performance awareness by mentoring team members and integrating best practices into the development lifecycle.
Requirements
- Bachelor’s degree in Computer Science, Engineering, IT, or equivalent practical experience
- Minimum of 6 years as a software engineer, with at least 2 years focused on load testing using k6 or similar frameworks and JavaScript
- Demonstrated ability in system design, performance analysis, and tuning at scale
- Strong understanding of distributed systems and container-based platforms
- Proficiency in scripting languages such as Bash or Python for automation and observability tasks
- Experience diagnosing issues across complex technical stacks and communicating findings clearly
- Familiarity with PostgreSQL or other relational databases
Preferred Qualifications
- At least 2 years working in cloud-native environments, especially AWS
Technical Stack
Java, Kotlin, C++, Golang, PostgreSQL, AWS, k6, JavaScript, Grafana, InfluxDB, Bash, Python
Benefits
- Medical, dental, and vision insurance
- 401(k) plan with company matching
- Life insurance coverage
- Unlimited paid time off
- Full access to onboarding and training resources at no cost
- Complimentary technical support for continuous learning
Work Mode
This role operates in a hybrid model, allowing remote work within select U.S. states. Physical office locations are in Austin, TX and Tampa, FL. Employees can choose where they work based on team needs and location eligibility.
