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Performance Test Engineer (CE510ST RM 4112)
Position: Performance Test Engineer (CE510ST RM 4112)
Education Required: Bachelor’s / Masters / PhD: Minimum Bachelors
Must Have Skills
Education Required: Bachelor’s / Masters / PhD: Minimum Bachelors
Must Have Skills
- LoadRunner, JMeter, or other performance testing tools
- Performance monitoring tools such as New Relic, Prometheus, Grafana, or Datadog
- Linux
- Docker and Kubernetes
- GCP and/or AWS
- Scripting, such as with Bash, Perl, or Python
-
Diagnosing bottlenecks in PostgreSQL queries or other relational database queries
- Java Web applications that use RabbitMQ
- Apache Benchmark (ab)
- Cypress
- Jenkins
- DevWeb (JavaScript)
- Should be working independently with client
- Ownership
-
Shoud be very good at communication
- 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.
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Take ownership of tasks, demonstrate initiative, communicate proactively, learn from mistakes, and continuously improve.
- 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:
- LoadRunner performance testing tools
- Linux
- Docker and Kubernetes
- Understanding and knowledge GCP and/or AWS or any other cloud
- Simple scripting, such as with Bash, Perl, or Python
- Diagnosing bottlenecks in PostgreSQL queries or other relational database queries
- Performance monitoring tools such as AppDynamics, 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.
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