Performance Tester with DevOps

Tekskills Inc.; Delhi; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Tekskills Inc. in Bangalore seeks a Performance Tester with DevOps experience to design and run performance, load, and endurance tests across microservices.

You will automate tests within CI/CD pipelines, tune systems, and collaborate with Dev, QA, and SRE teams to improve reliability. 5-7 years of relevant experience is expected; joiner immediate to 20 days.

Qualifications

• Experience in Performance Testing and DevOps.
• Hands-on with JMeter, LoadRunner, Gatling, or NeoLoad.
• Expertise in performance test planning, workload modeling, scripting, execution, analysis, and tuning.
• Knowledge of CI/CD pipelines using Jenkins, Azure DevOps, GitHub Actions, or GitLab CI.
• Hands-on with Docker and Kubernetes.
• Experience with cloud platforms such as Azure, AWS, or GCP.
• Scripting skills in Python, Shell, PowerShell, or Groovy.
• Experience with monitoring and observability tools such as Grafana, Prometheus, Dynatrace, AppDynamics, or Splunk.
• Good understanding of Linux, networking, HTTP/HTTPS, REST APIs, and system performance.
• Experience integrating performance tests into CI/CD pipelines.
• Knowledge of Infrastructure as Code using Terraform or Ansible.
• Experience with Git version control and Agile/Scrum methodologies.

Responsibilities

• Design, develop, and execute performance, load, stress, and endurance tests.
• Analyze bottlenecks across applications, databases, APIs, and infrastructure.
• Automate performance testing within CI/CD pipelines.
• Build and maintain DevOps pipelines for application deployment.
• Collaborate with development, QA, infrastructure, and SRE teams to improve performance and reliability.
• Monitor production performance and recommend optimization strategies.
• Prepare detailed performance reports and provide tuning recommendations.

Skills

Performance testing

DevOps

Scripting

Agile/Scrum

Git version control

Tools

JMeter

LoadRunner

Gatling

NeoLoad

Jenkins

Azure DevOps

GitHub Actions

GitLab CI

Docker

Kubernetes

Terraform

Ansible

Grafana

Prometheus

Dynatrace

AppDynamics

Splunk

Python

Shell

PowerShell

Groovy

Azure

AWS

GCP

Job description

Role: Performance Tester with DevOps

Location: Bangalore

Experience: 5-7 Years

ONLY IMMEDIATE TO 20 DAYS JOINERS

Mandatory Skills

• Experience in Performance Testing and DevOps.
• Strong hands‑on experience with JMeter, LoadRunner, Gatling, or NeoLoad.
• Expertise in performance test planning, workload modeling, scripting, execution, analysis, and tuning.
• Strong knowledge of CI/CD pipelines using Jenkins, Azure DevOps, GitHub Actions, or GitLab CI.
• Hands‑on experience with Docker and Kubernetes.
• Experience with cloud platforms such as Azure, AWS, or GCP.
• Strong scripting skills in Python, Shell, PowerShell, or Groovy.
• Experience with monitoring and observability tools such as Grafana, Prometheus, Dynatrace, AppDynamics, or Splunk.
• Good understanding of Linux, networking, HTTP/HTTPS, REST APIs, and system performance.
• Experience integrating performance tests into CI/CD pipelines.
• Knowledge of Infrastructure as Code using Terraform or Ansible.
• Experience with Git version control and Agile/Scrum methodologies.

Responsibilities

• Design, develop, and execute performance, load, stress, and endurance tests.
• Analyze bottlenecks across applications, databases, APIs, and infrastructure.
• Automate performance testing within CI/CD pipelines.
• Build and maintain DevOps pipelines for application deployment.
• Collaborate with development, QA, infrastructure, and SRE teams to improve application performance and reliability.
• Monitor production performance and recommend optimization strategies.
• Prepare detailed performance reports and provide tuning recommendations.

Preferred Skills

• Experience with microservices architecture.
• Kubernetes performance tuning.
• API performance testing.
• Basic database performance tuning (SQL Server, Oracle, PostgreSQL).
• Experience with SRE practices and production monitoring.