QA Automation Engineer

• Lead all aspects of performance testing, including requirements gathering, test planning, script development, test data creation, execution, and comprehensive reporting.
• Design, execute, and analyze performance tests using a suite of tools, including but not limited to Microfocus LoadRunner, JMeter, Gatling, and k6, ensuring accurate simulation of production workloads.
• Conduct bottleneck analysis using advanced monitoring tools and Application Performance Management (APM) platforms (e.g., Dynatrace), identifying performance issues at the system, application, or database level.
• Develop workload models based on production statistics, designing realistic load patterns to simulate peak traffic and edge cases.
• Collaborate with SRE teams to collect and analyze production.
• Leverage a deep understanding of system architecture, including caching, distributed systems, Kubernetes (k8s) architecture, and networking, to identify and resolve performance bottlenecks.
• Perform code profiling and optimisation, applying expertise in algorithm selection, data structure efficiency, memory management, and concurrency patterns to enhance application performance.
• Optimise system configurations and infrastructure to support scalability and low-latency performance under high load.
• Conduct SQL database performance testing, profiling, and tuning, optimizing query performance, indexing strategies, and caching mechanisms to ensure efficient data access.
• Apply deep knowledge of database systems (e.g., relational, NoSQL) to implement performance improvements, minimizing latency and resource utilisation.
• Collaborate with database administrators to refine database parameters and configurations for optimal performance.
• Implement advanced monitoring and observability practices, utilizing tools like Dynatrace to generate real-time performance metrics and actionable insights.
• Develop and maintain dashboards to track key performance indicators (KPIs), enabling proactive identification of performance degradation.
• Ensure comprehensive logging and tracing mechanisms are in place to support root cause analysis and performance troubleshooting.
• Engage actively in sprint planning, performance reviews, and cross-functional team meetings, contributing insights on performance feasibility and optimization strategies.
• Clearly articulate performance bottlenecks, trade-offs, and optimization rationales to developers, SREs, and stakeholders, documenting decisions for transparency.
• Work closely with development teams to align on performance goals, ensuring code and system changes meet performance standards.
• Bridge technical and operational discussions, fostering alignment between performance objectives and business requirements.
• Mentor junior engineers on performance testing, profiling, and optimization techniques through pair programming, code reviews, and knowledge-sharing sessions.
• Lead workshops or tech talks on topics such as performance testing tools, observability practices, or database optimization, driving team-wide proficiency.
• Propose tools or processes (e.g., new testing frameworks, profiling tools) to enhance performance engineering efficiency, justifying recommendations with evidence.
• Model a data-driven, solution-oriented approach, inspiring team members to prioritize performance and reliability.
• Maintain a collaborative, respectful demeanor in all interactions, upholding values of integrity, innovation, and collaboration.
• Promote a culture of precision and technical excellence by sharing performance insights and encouraging open feedback within the team.
• Address performance challenges professionally, escalating issues with clear context and proposed solutions.
• Performance Testing Accuracy & Quality (30%)
• System & Code Performance (25%)
• Database Performance Optimisation (20%)
• Collaboration & Communication (15%)
• Leadership & Team Development (10%)

Senior Performance Test Engineer – LoadRunner

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