Performance Test Engineer

Luxoft

Bengaluru

On-site

INR 1,800,000 - 3,000,000

Full time

14 days+
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Job summary

Luxoft is seeking a Senior Performance Test Engineer in Bengaluru for an enterprise-wide modernization initiative. You will design and execute performance tests, build testing tooling in Java, and validate production readiness of services running on OpenShift/Kubernetes-based microservices.

You will work closely with AD teams and CI/CD pipelines to ensure robust performance monitoring and fast feedback loops, while contributing to improving infrastructure reliability and test coverage.

Qualifications

  • 7+ years of full-time performance testing and engineering experience.
  • Hands-on Java programming to create custom apps/tools for performance testing.
  • Experience delivering end-to-end performance testing solutions (gathering requirements, planning, execution, reporting).
  • Strong experience with LoadRunner and JMeter for load testing.
  • Experience with OpenShift/Kubernetes and microservices.
  • DevOps experience: writing pipelines and integrating tests into CI/CD (Jenkins, Azure DevOps).

Responsibilities

  • Collaborate with engineers to develop testing and monitoring approaches.
  • Design, script, configure, and run performance tests for production readiness.
  • Analyze test data and simulate scenarios to validate stability and performance.
  • Use dashboards to monitor production systems and report findings.
  • Coordinate with AD teams to ensure efficient feature performance within CI/CD pipelines.

Skills

Java programming
Performance testing
CI/CD integration
Monitoring
Test design & planning

Tools

LoadRunner
JMeter
OpenShift
Kubernetes
Jenkins
Azure DevOps
Docker
Podman

Job description

The Migration Project for our Global Banking Client is an internal enterprise-wide infrastructure and application modernization initiative. The project primarily focuses on upgrading, refactoring, and migrating business-critical legacy applications to updated backend frameworks and reliable data center configurations.

Responsibilities:

  • Collaborates with other engineers to develop testing and monitoring approaches
  • Focuses on assurance in the areas of error rates, response times, and impact to infrastructure
  • Designs, scripts, configures, and run performance tests to validate production readiness of software applications and infrastructure for stability and performance
  • Conditions test data as needed to properly simulate test scenarios
  • Supports testing needs of new projects, infrastructure upgrades, and application enhancements by validating application functionality against documented test cases
  • Diagnoses, tracks, and manages performance issues to resolution
  • Uses dashboards that enable efficient monitoring of applications and systems running in production environments to troubleshoot issues and report findings
  • Provides summaries and assessments of the applications performance, emphasizing trends over time
  • Conducts deep dive analysis of data when trends or anomalies are identified
  • Collaborates with AD teams during story design to ensure new application features are developed in a performant manner.

Mandatory Skills Description:

  • 7+ years full time Performance Testing and Engineering experience
  • Hands-on experience in Java programming - should be able to create custom apps/tools for performance testing and monitoring
  • Strong experience in implementing end to end performance testing/engineering solutions - requirement gathering, test planning, test execution and monitoring, result reporting/analysis/tuning.
  • Strong hands-on experience in following load test tools - LoadRunner, JMeter and
  • Strong experience in Openshift/Kubernetes/microservices
  • Hands-on experience in DevOps tools like Jenkins, Azure DevOps (ADO) etc., including writing pipelines and integrating performance tests into CI/CD workflows

Nice-to-Have Skills Description:

  • Experience in container (Docker, Podman) and container orchestration (Kubernetes) platform
  • Exposure to Generative AI and knowledge/experience in implementing relevant AI solutions for Performance Engineering
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