Develop performance tests using tools such as LoadRunner, DevWeb (JavaScript), Apache Benchmark (ab), and Cypress, and custom tools and scripts written in Python, Perl, Bash, and SQL.
Monitor, analyze, and use whatever it takes to diagnose issues and bottlenecks and gain insights, including but not limited to: test results, Jenkins logs, application logs, PostgreSQL logs, Docker, Kubernetes, NetData, Prometheus, Grafana, New Relic, Datadog, AWS or GCP cloud monitoring, RabbitMQ, custom PostgreSQL OR DBA queries.
File and track product issues in Jira with sufficient details for developers to reproduce and fix the issues.
Work closely with engineering teams to investigate and mitigate problems found in testing.
Improve automation so that more time can be spent analyzing measurements rather than just obtaining them.
Take ownership of tasks, demonstrate initiative, communicate proactively, learn from mistakes, and continuously improve.
Key Requirements (Must)
Enjoy performance engineering, are good at it, and have 8+ years of dedicated experience doing it, preferably with complex, containerized, distributed products in the cloud.
Strong experience with
o Linux
o Docker and Kubernetes
o GCP and/or AWS
o LoadRunner, JMeter, or other performance testing tools
o Scripting, such as with Bash, Perl, or Python
o Diagnosing bottlenecks in PostgreSQL queries or other relational database queries
o Performance monitoring tools such as New Relic, Prometheus, Grafana, or Datadog
Black Duck is an equal opportunity employer. We consider all applicants for employment without regard to race, color, national origin, religion, sex, gender identity or expression, age, disability, sexual orientation, veteran or military service status, or any other characteristic protected by applicable law. Black Duck complies with all applicable laws prohibiting employment discrimination in every jurisdiction where it operates and provides reasonable accommodations to individuals with disabilities in accordance with applicable law.