Performance Test Engineer
Infosys Sydney, New South Wales, Australia
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Roles and Responsibilities
Candidate should have experience in custom coding in Java to build custom tools, implement Performance Tuning solutions and roadmap for the platform.
Must have load runner or Jmeter performance testing
Develop Nonfunctional requirements for new and old platform
Experience in Capacity planning
Experience in Chaos engineering and SRE
Hands-on experience in various performance tuning tools
Lead the design, development, and execution of performance test plans and test cases for Big Data, Payment solutions and for multi cloud and third-party applications
Oversee the analysis of performance test results to identify bottlenecks, performance issues, and areas for optimization.
Collaborate with development, DevOps, and data engineering teams to implement performance improvements.
Develop and maintain automated performance testing scripts using industry-standard tools and frameworks.
Conduct performance tuning and optimization of ETL processes and data pipelines.
Utilize Microsoft Azure PaaS services, including Azure Synapse Analytics, Azure Spark, Cosmos DB, and Azure Data Lake (Azure ELZ) for performance testing and optimization.
Work with Cloudera Big Data technologies, Payments, Channel, Kafka, micro services, Teradata, and Oracle to assess and enhance performance.
Manage batch processes and scheduling using Control-M scheduler.
Provide detailed performance analysis reports and recommendations to stakeholders.
Mentor and guide team members on performance testing methodologies, tools, and best practices.
Stay updated with the latest trends and best practices in Big Data performance testing and cloud technologies.
Ensure all testing activities comply with industry standards and best practices.
ESSENTIAL
Good knowledge of technology landscape to be able to guide team.
Tertiary Qualification in IT / Computer Science / related discipline.
PREFERRED
Expertise in performance tuning, capacity planning, and non-functional requirements.
Hands-on experience with performance testing tools and automation frameworks.
Deep knowledge of Big Data ecosystems, multi-cloud platforms, and payment solutions.
Familiarity with Azure PaaS services, Cloudera, Kafka, Teradata, and Oracle.
Experience with Control-M scheduler for batch process management.
Strong analytical, problem-solving, and communication skills.
Ability to lead cross-functional teams and mentor junior engineers.
ADDITIONAL
Excellent written and verbal communication skills
Strong attention to detail and outstanding analytical and problem-solving skills.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Business Development
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