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Senior, niche performance role with Kubernetes and LoadRunner reduces applicant density despite metro location.
Specialized performance engineering, monitoring, and database bottleneck skills limit cross-industry transferability.
Mandatory 8+ years plus specific cloud, Kubernetes, monitoring, and performance tool expertise creates strict shortlisting filters.
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Deploy, set up, and manage test environments with databases on Linux and cloud platforms (AWS/GCP), leveraging Docker, Kubernetes, and Jenkins.
Develop and execute performance tests using tools like LoadRunner, DevWeb, Apache Benchmark, and custom scripts; diagnose issues via logs and monitoring tools.
File detailed product issue reports and collaborate closely with engineering to resolve performance bottlenecks and improve automation processes.
Minimum 8 years of dedicated performance engineering experience, preferably with complex, containerized, distributed cloud products.
Strong experience with Linux, Docker, Kubernetes, and cloud platforms (GCP and/or AWS).
Proficiency in performance testing tools such as LoadRunner or JMeter and scripting languages like Bash, Perl, or Python.
Experience diagnosing PostgreSQL or other relational database query bottlenecks, and using performance monitoring tools like New Relic, Prometheus, Grafana, or Datadog.
Experienced in managing performance for containerized and distributed systems in cloud environments.
Technical operator comfortable with command-line interfaces and diverse tooling for deployment, testing, and monitoring.
Detail-oriented in identifying, reporting, and collaborating on product issues to enhance performance and reliability.