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 8+ years of dedicated experience doing it, preferably with complex, containerized, distributed products in the cloud.

 · Strong experience with:

o LoadRunner performance testing tools

o Linux

o Docker and Kubernetes

o Understanding and knowledge GCP and/or AWS or any other cloud

o Simple 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 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.

Technical Skills required:

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 querie

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 8+ years of dedicated experience doing it, preferably with complex, containerized, distributed products in the cloud.

 · Strong experience with:

o LoadRunner performance testing tools

o Linux

o Docker and Kubernetes

o Understanding and knowledge GCP and/or AWS or any other cloud

o Simple 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 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.

Technical Skills required:

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 querie