Senior Performance Tester
Job Summary
Job Title: Senior Performance Tester
Work Arrangement: Hybrid. Primarily remote with onsite presence one to two times per month in Reston VA.
Location: Reston VA
Employment Type: Contract (long term)
Engagement Type:
Final Interview: In-person in Reston VA
Dhaka Technologies Limited Company is hiring a Senior Performance Tester for a healthcare industry client. The client is seeking a Performance Test Engineer with extensive knowledge of both Tricentis NeoLoad and LoadRunner.
The selected candidate will lead and perform performance testing performance engineering and scalability analysis for enterprise applications cloud-native platforms data warehouse solutions and data lake ecosystems. This role defines performance test strategies designs realistic workload models develops and executes performance tests using tools such as NeoLoad and analyzes system behavior across application database infrastructure and cloud layers. The Senior Performance Tester collaborates with product development architecture infrastructure and operations teams to identify performance risks establish baselines validate non-functional requirements and provide actionable recommendations to improve throughput reliability resiliency and user experience.
Performance Test Strategy and Execution (25%)
- Develop and execute end-to-end performance test strategies for enterprise applications AWS-native applications APIs microservices data warehouse platforms and data lake pipelines.
- Define performance objectives workload models test data needs test schedules and entry and exit criteria.
- Design and execute load stress endurance scalability resiliency and capacity tests using NeoLoad and other approved enterprise performance testing tools.
- Automate performance test execution within CI/CD pipelines to support repeatable validation early performance feedback and release readiness.
Results Analysis and Reporting (25%)
- Analyze performance and resiliency test results across application database middleware network cloud and infrastructure layers.
- Monitor and evaluate key metrics such as response time throughput transaction volume CPU memory I/O queue depth latency error rates auto-scaling behavior failover behavior recovery time system recovery and service degradation patterns.
- Identify bottlenecks resiliency gaps and performance risks compile findings and communicate clear recommendations to technology product and leadership stakeholders.
Cloud and Data Platform Performance Engineering (25%)
- Support performance engineering for cloud modernization data platform migrations and high-volume processing solutions.
- Validate performance scalability and resiliency of AWS services cloud-native architectures containerized workloads data ingestion jobs ETL and ELT pipelines PostgreSQL and other database platforms data warehouse workloads and data lake integrations.
- Partner with architecture and engineering teams to recommend tuning opportunities capacity improvements resiliency improvements automation enhancements and long-term performance solutions.
Technical Leadership and Mentoring (25%)
- Provide technical leadership for performance testing engagements supporting critical high-visibility applications and platforms.
- Lead defect triage and root-cause analysis for performance issues and support production incident analysis where performance is a contributing factor.
- Help establish performance baselines dashboards and reporting standards.
- Mentor team members on performance testing best practices NeoLoad scripting and execution cloud observability test automation integration CI/CD performance test automation and continuous performance testing within delivery pipelines.
- Bachelors degree in Information Technology or Computer Science.
- Five years of experience in performance testing resiliency testing performance engineering or quality engineering for enterprise applications including hands-on experience with workload modeling performance test design resiliency test scenarios failover validation test execution monitoring bottleneck analysis recovery analysis and results reporting.
- Experience with Tricentis NeoLoad and LoadRunner.
- Strong cloud and CI/CD performance test automation experience including cloud platforms such as AWS database performance validation and large-scale data warehouse or data lake environments.
- Ability to communicate technical requirements to all levels of expertise.
- Knowledge and understanding of the performance testing lifecycle SDLC Agile delivery and non-functional requirements validation.
- Proficiency integrating performance testing into complex enterprise systems cloud-native applications APIs microservices data warehouse platforms and data lake pipelines.
- Knowledge of scripting programming or query languages used in performance testing and analysis such as JavaScript Java Groovy Python SQL or shell scripting.
- Excellent written and verbal communication skills.
- Knowledge of cloud technologies with emphasis on AWS-native applications cloud scalability auto-scaling behavior monitoring observability resiliency testing failover validation recovery analysis and capacity validation.
- Knowledge of database and data platform technologies including SQL Oracle PostgreSQL MongoDB data warehouse platforms data lake environments ETL and ELT pipelines and large-scale data ingestion performance.
- Knowledge of performance engineering best practices resiliency testing practices cloud performance patterns Agile methodologies observability CI/CD pipelines automated performance test gates and continuous performance testing practices.
- Knowledge of test automation practices test data management workload modeling API testing service virtualization CI/CD performance test automation and integration of performance tests into automated delivery pipelines.
- Strong experience with NeoLoad or comparable performance testing tools cloud monitoring tools deployment and continuous integration continuous testing and continuous delivery processes CI/CD performance test automation and performance reporting dashboards.
- Knowledge of code quality and promotion practices.
Interested candidates who meet the qualifications should send their resume to .
Required Skills:
REQUIRED SKILLS AND QUALIFICATIONS 1. Five years of experience in performance testing resiliency testing performance engineering or quality engineering for enterprise applications including hands-on experience with workload modeling performance test design resiliency test scenarios failover validation test execution monitoring bottleneck analysis recovery analysis and results reporting. 2. Experience with Tricentis NeoLoad and LoadRunner. 3. Strong cloud and CI/CD performance test automation experience including cloud platforms such as AWS database performance validation and large-scale data warehouse or data lake environments. 4. Ability to communicate technical requirements to all levels of expertise. 5. Knowledge and understanding of the performance testing lifecycle SDLC Agile delivery and non-functional requirements validation. 6. Proficiency integrating performance testing into complex enterprise systems cloud-native applications APIs microservices data warehouse platforms and data lake pipelines. 7. Knowledge of scripting programming or query languages used in performance testing and analysis such as JavaScript Java Groovy Python SQL or shell scripting. 8. Excellent written and verbal communication skills. 9. Knowledge of cloud technologies with emphasis on AWS-native applications cloud scalability auto-scaling behavior monitoring observability resiliency testing failover validation recovery analysis and capacity validation. 10. Knowledge of database and data platform technologies including SQL Oracle PostgreSQL MongoDB data warehouse platforms data lake environments ETL and ELT pipelines and large-scale data ingestion performance. 11. Knowledge of performance engineering best practices resiliency testing practices cloud performance patterns Agile methodologies observability CI/CD pipelines automated performance test gates and continuous performance testing practices. 12. Knowledge of test automation practices test data management workload modeling API testing service virtualization CI/CD performance test automation and integration of performance tests into automated delivery pipelines. 13. Strong experience with NeoLoad or comparable performance testing tools cloud monitoring tools deployment and continuous integration continuous testing and continuous delivery processes CI/CD performance test automation and performance reporting dashboards. 14. Knowledge of code quality and promotion practices.
Required Education:
EDUCATIONBachelors degree in Information Technology or Computer Science.