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Senior QA Engineer - Performance Tester

Today 2026/09/16
Other Business Support Services
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Job description

Key Responsibilities:
  • Deploy and set up test instances and PostgreSQL databases on-prem on Linux and in the cloud in AWS and GCP leveraging Docker, Kubernetes, and Jenkins and working heavily in the command-line.
  • Troubleshoot deployment issues, test issues, and product issues.
  • 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 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.
  • Present key findings and actionable insights and guidance to technical and non-technical audiences in clear and meaningful presentations and other communications.
  • Collaborate with a diverse set of distributed stakeholders, building trust, credibility, and positive relationships.
  • Write and maintain clear documentation in Confluence.
  • Verify performance improvements and fixes.
  • Ensure performance does not regress.
  • 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:
  • Enjoy performance engineering, are good at it, and have 6+ years of dedicated experience doing it, preferably with complex, containerized, distributed products in the cloud.
  • Strong experience with:
    • Linux
    • Docker and Kubernetes
    • GCP and/or AWS
    • LoadRunner, JMeter, or other performance testing tools
    • Scripting, such as with Bash, Perl, or Python
    • Diagnosing bottlenecks in PostgreSQL queries or other relational database queries
    • Performance monitoring tools such as New Relic, Prometheus, Grafana, or Datadog
  • Are comfortable with ambiguity and venturing into the unknown and accept that failure is part of the job because we’re always pushing our products to discover their limits.
  • Strong analytical skills with ability to question and find deep meaning in data.
  • Prefer ownership and growth over handholding and stagnation.
  • Passionate about learning and growing and committed to delivering high-quality work.
  • Able to persevere through challenges and unblock self through research, experimentation, and critical thinking.
  • Value simplification, reusability, knowledge sharing, and standardization over ad hoc heroics.


This job post has been translated by AI and may contain minor differences or errors.
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