About Us:
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.
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Location: Sydney.
Salary Range: AUD $128,191 - $136,132 (Annual Gross).
Short Description:
We are seeking highly skilled hands-on Performance Engineer experience to collaborate with Design, Architects, PO, third party vendors and implement Performance Tunings solutions for cloud and in house applications, highly skilled Big Data, Payments, Microsoft Azure and AWS SaaS/PaaS services.
Key Responsibilities:
- Candidate should have experience in custom coding in Java to build custom tools
- Implement Performance Tuning solutions and road map for the platform
- 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's 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.
- Excellent customer interfacing skills.
- Excellent written and verbal communication skills.
- Strong attention to detail and outstanding analytical and Problem-solving skills.
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Infosys is an equal opportunity employer and positively encourages applications from suitably qualified and eligible candidates regardless of gender or other attribute covered by equal opportunity legislation.
At Infosys, we recognize that everyone has individual requirements. If you are a person with disability, illness or injury and require adjustments to the recruitment and selection process, please contact our Recruitment team for adjustment only on Infosys_ta@infosys.com or include your preferred method of communication in email and someone will be in touch.
Please note in order to protect the interest of all parties involved in the recruitment process, Infosys does not accept any unsolicited resumes from third party vendors. In the absence of a signed agreement any submission will be deemed as non-binding and Infosys explicitly reserves the right to pursue and hire the submitted profile. All recruitment activity must be coordinated through the Talent Acquisition department.
Infosys is an equal opportunity employer, and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, spouse of protected veteran, or disability.
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