Engineer, Software Sr

Duration: 6 Months

Location: Reston VA (Hybrid Willing to go to office when/if needed)

In-person interview at Reston VA

Leads and performs performance testing performance engineering and scalability analysis for enterprise applications cloud-native platforms data warehouse solutions and data lake ecosystems. 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. 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.

• 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.
• 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.
• 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/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.
• 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 support production incident analysis where performance is a contributing factor and 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.

To perform this job successfully an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Bachelors Degree

Information Technology or Computer Science

5 years 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 NeoLoad or similar performance testing tools CI/CD performance test automation cloud platforms such as AWS database performance validation and large-scale data warehouse or data lake environments is preferred.

In lieu of a Bachelors degree an additional 4 years of relevant work experience is required in addition to the required work experience.

• Ability to communicate technical requirements to all levels of expertise. Advanced
• Proficient in establishing and maintaining good working relationships. Advanced
• Knowledge and understanding of performance testing lifecycle SDLC Agile delivery and non-functional requirements validation. Advanced
• Proficient with integrating performance testing into complex enterprise systems cloud-native applications APIs microservices data warehouse platforms and data lake pipelines. Advanced
• Knowledge of scripting programming or query languages used in performance testing and analysis such as JavaScript Java Groovy Python SQL or shell scripting. Proficient
• Excellent communication skills both written and verbal. Advanced
• 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. Advanced
• Knowledge of database and data platform technologies including SQL Oracle PostgreSQL MongoDB data warehouse platforms data lake environments ETL/ELT pipelines and large-scale data ingestion performance. Advanced
• 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. Advanced
• 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. Advanced
• Strong experience with NeoLoad or comparable performance testing tools cloud monitoring tools deployment/continuous integration/continuous testing/continuous delivery processes CI/CD performance test automation and performance reporting dashboards. Advanced
• Knowledge of Code quality and promotion practices Advanced