Performance Test Engineer
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Job Location:
Monthly Salary:
Posted on:
7 hours ago
Vacancies:
1 Vacancy
Job Summary
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:
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 were 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.
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:
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 were 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.
