Performance Test Engineer -PAN INDIA @ Infosys

Job Title: Performance Test Engineer

Job Summary

We are seeking a highly skilled Performance Test Engineer to evaluate, analyze, and optimize the performance, scalability, stability, and reliability of applications and services. The ideal candidate will have hands-on experience in performance testing, load testing, stress testing, monitoring, and performance engineering for web, mobile, API, and enterprise applications.

Key Responsibilities

• Design, develop, and execute performance test strategies, plans, and test scripts.
• Conduct various types of performance testing including:
• Load Testing
• Stress Testing
• Spike Testing
• Volume Testing
• Endurance (Soak) Testing
• Scalability Testing
• Analyze application response times, throughput, resource utilization, and system behavior under load.
• Identify performance bottlenecks and collaborate with development, infrastructure, and DevOps teams for resolution.
• Monitor application and server performance using performance monitoring tools.
• Validate performance requirements and Service Level Agreements (SLAs).
• Create realistic workload models and test scenarios based on production traffic patterns.
• Execute performance tests for APIs, web applications, mobile applications, and microservices.
• Prepare detailed performance reports with findings, recommendations, and risk assessments.
• Integrate performance testing into CI/CD pipelines.
• Support capacity planning and infrastructure optimization initiatives.

Required Skills & Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or related field.
• 2-3 years of experience in Performance Testing and Performance Engineering.
• Strong understanding of software performance testing concepts and methodologies.
• Hands-on experience with performance testing tools such as:
• Apache JMeter
• LoadRunner
• NeoLoad
• Gatling
• k6
• BlazeMeter
• Experience testing:
• Web Applications
• APIs
• Mobile Applications
• Microservices
• Strong knowledge of:
• HTTP/HTTPS Protocols
• REST APIs
• Web Services
• Messaging Systems
• Experience analyzing performance metrics such as:
• Response Time
• Throughput
• Transactions Per Second (TPS)
• Latency
• Error Rate
• CPU & Memory Utilization
• Proficiency in SQL for backend validation and troubleshooting.
• Familiarity with Linux/Unix environments and shell scripting.
• Experience with Agile/Scrum methodologies.

Preferred Skills

• Experience with Application Performance Monitoring (APM) tools:
• Dynatrace
• AppDynamics
• New Relic
• Grafana
• Prometheus
• Datadog
• Experience with cloud environments:
• Microsoft Azure
• AWS
• Google Cloud Platform (GCP)
• Knowledge of containerization and orchestration technologies:
• Docker
• Kubernetes
• Experience working with CI/CD tools:
• Jenkins
• Azure DevOps
• GitHub Actions
• GitLab CI/CD
• Basic understanding of JVM, .NET, and database performance tuning.
• Exposure to Kafka, RabbitMQ, or other messaging platforms.

Key Competencies

• Strong analytical and troubleshooting skills
• Performance tuning and optimization mindset
• Excellent communication and reporting abilities
• Attention to detail
• Problem-solving capabilities
• Ability to work collaboratively with cross-functional teams

Technical Skills Matrix

Skill AreaProficiencyPerformance TestingExpertJMeter/LoadRunner/k6AdvancedAPI Performance TestingAdvancedPerformance AnalysisAdvancedAPM Tools (Dynatrace/AppDynamics)AdvancedSQL & Database Performance ValidationIntermediateCloud Performance TestingIntermediateCI/CD IntegrationIntermediate

Job Details

• Role: Performance Test Engineer
• Experience: 2-3 Years
• Location: PAN INDIA
• Employment Type: Full-Time

Nice-to-Have Certifications

• ISTQB Performance Testing Certification
• LoadRunner Professional Certification
• BlazeMeter/JMeter Certifications
• Azure Fundamentals / AWS Cloud Practitioner
• Certified Agile Tester

Ideal Candidate Profile

A Performance Test Engineer with strong expertise in JMeter, LoadRunner, or k6, capable of designing and executing performance tests, identifying bottlenecks, analyzing system behavior under load, and driving performance improvements across cloud-native and enterprise applications.

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