Senior QA Engineer - Performance Tester

Relanto; Bengaluru; Hybrid; INR 8,620,689 - 11,494,252; Full time

Job summary

Relanto is looking for an experienced performance engineer to work on deploying and optimizing cloud-based products. The ideal candidate will have over 6 years of dedicated experience in performance engineering, especially with complex, containerized applications in the cloud.

You will be responsible for troubleshooting issues, collaborating with engineering teams, and ensuring performance optimization, all while documenting your findings clearly. Strong expertise in Linux, Docker, Kubernetes, and performance monitoring tools is essential.

Qualifications

• 6+ years of experience in performance engineering with cloud products.
• Strong analytical skills for data interpretation.
• Experience in diagnosing PostgreSQL and relational database bottlenecks.

Responsibilities

• Deploy test instances and PostgreSQL databases in AWS/GCP.
• Troubleshoot application and testing issues.
• Collaborate with engineering teams to resolve performance problems.
• Document processes and results in Confluence.
• Ensure continuous improvement in performance.

Skills

Performance engineering

Linux

Docker

Kubernetes

GCP

AWS

LoadRunner

JMeter

Bash scripting

Python scripting

Tools

PostgreSQL

New Relic

Prometheus

Grafana

Datadog

Job description

• 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.
• 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 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.

Required Skills

Performance testing docker linux kubernetes