Job Title

Performance Testing Architect - LoadRunner and Jmeter3 days ago Be among the first 25 applicantsKey Responsibilities:Custom Java Development: Design and implement custom tools through custom coding in Java to meet specific platform needs.Performance Tuning Solutions: Develop and execute performance tuning strategies and roadmaps for the platform, ensuring optimal performance and scalability.Nonfunctional Requirements Development: Define and document nonfunctional requirements for both new and existing platforms, focusing on performance, scalability, and reliability.Capacity Planning: Conduct capacity planning to ensure that the platform can scale to meet future demands.Chaos Engineering & SRE: Apply chaos engineering principles and Site Reliability Engineering (SRE) practices to improve platform resilience and reliability.Performance Tuning Tools: Hands-on experience with various performance tuning tools, utilizing them to identify and resolve performance bottlenecks.Performance Testing Leadership: Lead the design, development, and execution of comprehensive performance test plans and test cases, particularly for Big Data, payment solutions, multi-cloud environments, and third-party applications.Bottleneck Analysis & Optimization: Analyze performance test results to identify bottlenecks, performance issues, and optimization opportunities, providing actionable insights.Cross-Team Collaboration: Work closely with development, DevOps, and data engineering teams to implement performance improvements and ensure seamless integration across the platform.Automated Performance Testing: Develop and maintain automated performance testing scripts using industry-standard tools and frameworks to streamline testing processes.ETL & Data Pipeline Optimization: Conduct performance tuning and optimization for ETL processes and data pipelines, ensuring efficient data handling and processing.Microsoft Azure PaaS Services: Utilize Microsoft Azure PaaS services, including Azure Synapse Analytics, Azure Spark, Cosmos DB, and Azure Data Lake (Azure ELZ), for performance testing and optimization tasks.Big Data Technologies & Payments: Work with Cloudera Big Data technologies, Payments, Channel, Kafka, microservices, Teradata, and Oracle to assess and enhance platform performance.Batch Process Management: Manage batch processes and scheduling using Control-M scheduler to ensure timely and efficient processing.Performance Reporting: Provide detailed performance analysis reports and recommendations to stakeholders, offering insights for continuous improvement.Mentorship & Guidance: Mentor and guide team members on performance testing methodologies, tools, and best practices, fostering a culture of continuous learning and improvement.Industry Best Practices: Stay updated with the latest trends and best practices in Big Data performance testing and cloud technologies, ensuring all testing activities comply with industry standards.Seniority levelMid-Senior levelEmployment typeFull-timeJob functionInformation TechnologyIndustriesIT Services and IT Consulting #J-18808-Ljbffr