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Job Title : Performance Test Engineer

Experience : 6+ Years

Location : Baner, Pune

Joining : Immediate (by 1st week of October)

Job Summary :

We are seeking a skilled and motivated Performance Test Engineer with a strong background in performance testing, automation, and analysis. The role involves ensuring product excellence through performance tuning, scalability validation, and end-to-end performance engineering.

Mandatory Skills : Performance Testing (JMeter/LoadRunner/RPT), Performance Analysis, Automation Testing, Load & Scalability Testing.

Key Responsibilities :

• Design, develop, and execute performance test plans, scripts, and scenarios using JMeter, LoadRunner, or RPT.
• Conduct load, stress, scalability, and endurance testing for enterprise applications.
• Analyze test results, identify bottlenecks, and provide recommendations for optimization.
• Collaborate with development and architecture teams for detailed performance analysis and tuning.
• Monitor system health, troubleshoot performance issues, and provide technical insights.
• Work on multi-user scenario scripting and cloud-based performance testing.

Requirements :

• 6+ years of experience in software testing, with at least 2 years in automation and 2 years in performance test analysis.
• Hands-on expertise in JMeter, LoadRunner, or RPT.
• Strong understanding of performance engineering concepts: response time, load, scalability, and tuning.
• Experience in analyzing system metrics and identifying performance bottlenecks.
• Exposure to C++ coding is an added advantage.
• Cloud-based application testing experience is a plus.
• Strong problem-solving, troubleshooting, and collaboration skills.

Interview Process :

1. Technical Interview
2. Online Test
3. HR Interview
4. Client Interview

Role Overview: We are seeking a highly experienced and technically proficient Lead Performance & Reliability Engineer to join our dynamic team. The ideal candidate will possess a deep understanding of performance testing methodologies across mobile and web platforms, with hands-on expertise in industry-leading tools. You will be instrumental in ensuring the scalability, stability, and responsiveness of our critical systems, from initial design to production monitoring. A strong background in site reliability engineering principles, coupled with a proactive approach to identifying and resolving performance bottlenecks, is essential.

Key Responsibilities:

• Performance Strategy & Execution:
• Lead the design, development, and execution of comprehensive performance testing strategies for complex mobile (iOS/Android) and web applications.
• Define performance SLAs, identify key performance indicators (KPIs), and establish performance baselines.
• Conduct various types of performance tests including load, stress, scalability, endurance, and failover testing.
• Tooling & Automation Expertise:
• Utilize and optimize leading performance testing tools such as LoadRunner and JMeter to simulate realistic user loads and analyze system behavior.
• Develop robust, scalable, and maintainable performance test scripts across diverse protocols.
• Implement and integrate performance testing into CI/CD pipelines for continuous performance validation.
• Monitoring & Observability:
• Leverage monitoring and observability platforms like Datadog, Splunk, and Kibana for real-time performance monitoring, root cause analysis, and proactive issue detection in production environments.
• Configure dashboards, alerts, and reports to provide actionable insights into system health and performance trends.
• System Analysis & Optimization:
• Perform in-depth analysis of performance test results and production metrics to identify bottlenecks in application, database, and infrastructure layers.
• Collaborate closely with development, architecture, and operations teams to recommend and implement performance improvements.
• Deep dive into SQL Queries and MongoDB performance, optimizing database schemas, queries, and indexing for optimal throughput.
• Chaos Engineering & Resiliency:
• Familiarity with Gremlin or similar chaos engineering platforms to proactively identify and address system weaknesses under adverse conditions.
• Contribute to building resilient and fault-tolerant systems.
• Architectural & Methodological Leadership:
• Apply principles of SAFe (Scaled Agile Framework) or similar agile methodologies to integrate performance engineering practices seamlessly into the software development lifecycle.
• Work closely with architects and developers to ensure performance considerations are embedded from the design phase.
• Data Management & Scripting:
• Proficiency in writing and optimizing complex SQL Queries for performance analysis and data manipulation.
• Strong Scripting skills (e.g., Python, Java, JavaScript, Shell Scripting) for test automation, data generation, and custom tool development.
• Experience with MongoDB for NoSQL database performance analysis and optimization.
• Emerging Technologies & AI:
• Exposure to or keen interest in utilizing AI/ML-driven tools for performance analysis and optimization, including understanding the capabilities of Azure Copilot or similar AI assistants in a development context.
• Mentorship & Collaboration:
• Mentor junior engineers and share best practices in performance engineering.
• Foster a culture of performance awareness and reliability across engineering teams.

Required Skills & Experience:

• 9-12 years of progressive experience in Performance Testing, Performance Engineering, or Site Reliability Engineering.
• Demonstrable expertise in Mobile Performance Testing for both iOS and Android platforms.
• Hands-on mastery of LoadRunner and JMeter for performance test script development and execution.
• Extensive experience with performance monitoring tools such as Datadog, Splunk, and Kibana.
• Solid understanding of database performance concepts and hands-on experience with SQL Queries and MongoDB.
• Proven ability in at least one major scripting language (e.g., Python, JavaScript, Java, Shell).
• Experience with or strong understanding of Agile methodologies, preferably SAFe.
• Familiarity with Chaos Engineering principles and tools (e.g., Gremlin).
• Understanding of cloud platforms (Azure preferred) and exposure to AI-assisted development tools like Azure Copilot is a plus.
• Strong analytical, problem-solving, and debugging skills.
• Excellent communication and collaboration abilities.
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.