Performance Quality Engineer
Accountable for creating application and infrastructure performance plans/models for a highly scalable, low-latency, highly-available and high-throughput payment processing system.
Work with the architects and development team to ensure proper metrics instrumentation done in software components, to help facilitate real time and remote troubleshooting/performance monitoring.
Hands on experience in Unix/Linux OS environments and operating system internals, file systems, disk/storage and networking protocols System internals. Having working knowledge with VMs and Containers.
Expert knowledge and strong experience using tools, Loadrunner/Jmeter,. etc. and understanding of APM solutions like Appdynamics, dynatrace, OPNET,. etc
Coding Knowledge in programming languages like Java/Python and scripting languages is must.
Essential functions
Bachelors and/or Masters degree in computer science or a related discipline, or equivalent work experience required.
3 to 5+ years of hands-on experience in Performance Engineering, Tuning, analysis or applications program development.
Qualifications
Evaluate, develop and execute load test tools to stress the limits of Visa’s most critical payment applications.
Understand and performance test the APIs, abstractions and integration patterns to solve challenging distributed computing problems.
Should have experience in defining Performance Strategy and reporting performance baselines required to certify Go-Lives.
Should have strong experience in handling multiple tasks and stakeholders.
Would be a plus
Should be well versed in documenting the steps performed during course of performance tests cycle including performance test scripts used.
Should be able to able to look at the code and suggest optimization techniques.
Should have ability to work independently and be a team player.
Actively contribute to capacity planning and disaster recovery exercises.
Support in triaging and troubleshooting of issues related to performance degradation incidents in production environment.
Monitor application performance, optimize performance bottlenecks and usage to create an application capacity model.
Help optimizing system components such as CPU/Memory/Disk/Network & OS/Application software for maximizing the computer resources utilization.
We offer
- Opportunity to work on bleeding-edge projects
- Work with a highly motivated and dedicated team
- Competitive salary
- Flexible schedule
- Benefits package - medical insurance, sports
- Corporate social events
- Professional development opportunities
- Well-equipped office
About us
Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.Apply to the position
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