Value Added Services (Acceptance Solutions) is a Product Development (PD) group within the Technology team, responsible for building
leading-edge, full-service payment solutions
. These solutions combine global payment processing, fraud management, payment security, and reporting systems to support
e-commerce, mobile commerce, and point-of-sale (POS)
businesses.We are seeking a
highly skilled Performance Engineer
to design, test, analyze, and optimize large-scale, low-latency, high-throughput payment platforms. This role involves close collaboration with architects, developers, and infrastructure teams to ensure system reliability, scalability, and performance for mission-critical applications.
Essential Functions
- Design and implement application and infrastructure performance plans and models for highly scalable, low-latency, and highly available systems
- Collaborate with architects and development teams to ensure proper metrics instrumentation for real-time monitoring and troubleshooting
- Perform end-to-end performance testing, including load, stress, endurance, and scalability testing
- Analyze Thread Dumps and Heap Dumps to identify performance bottlenecks, memory leaks, deadlocks, and resource contention
- Develop, execute, and maintain performance test scripts using LoadRunner, JMeter, or similar tools
- Monitor application performance and optimize bottlenecks to build accurate capacity and scalability models
- Evaluate and performance-test APIs, abstractions, and integration patterns in distributed systems
- Review application code and recommend performance optimization techniques
- Define performance strategies, establish performance baselines, and support Go-Live readiness certification
- Document performance testing approaches, scripts, execution results, and analysis findings
- Support production performance issue triaging, root cause analysis, and incident resolution
- Contribute to capacity planning and disaster recovery exercises
- Optimize system components including CPU, memory, disk, network, OS, and application software
- Work independently while collaborating effectively with cross-functional teams and stakeholders
Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, or a related discipline, or equivalent work experience
- 3 to 6 years of hands-on experience in Performance Engineering, Performance Tuning, System Analysis, or Application Development
- Mandatory expertise in Thread Dump Analysis and Heap Dump Analysis
- Strong experience in performance testing and tuning of large-scale, distributed systems
- Hands-on experience in Unix/Linux environments, including OS internals, file systems, storage, and networking
- Working knowledge of virtual machines and container technologies
- Proficiency in Java and/or Python, along with scripting languages
- Strong experience with performance testing tools such as LoadRunner, JMeter, or equivalent
- Experience with APM tools such as AppDynamics, Dynatrace, OPNET, or similar
- Strong analytical, troubleshooting, multitasking, and documentation skills
Would be a plus
- Experience with payment systems or financial services platforms
- Knowledge of microservices and distributed system architectures
- Exposure to cloud platforms and container orchestration tools
- Experience integrating performance testing into CI/CD pipelines
- Understanding of capacity planning, resiliency, and disaster recovery strategies
- Ability to proactively identify performance risks and optimization opportunities
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.
