Senior QA Engineer - Performance Tester

Location: Bengaluru, India

Department: Digital Transformation

Experience: 6+

Skills: Performance testing, docker, linux, kubernetes

• 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.

• 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.