OVA.Work
Job Title: Performance Engineer
Location:
Hybrid/Remote/On-site
Experience Level:
38 Years
Employment Type:
Full-time
About the Role We are looking for a highly skilled Performance Engineer to join our team and ensure the scalability, stability, and responsiveness of our applications and systems. The ideal candidate has experience with performance testing, tuning, monitoring, and root‑cause analysis across web/mobile applications, APIs, microservices, and distributed systems.
Key Responsibilities
Performance Testing & Engineering: Design, develop, and execute performance test strategies including load, stress, endurance, spike, and capacity tests.
Develop and maintain automated performance test scripts using tools like JMeter, LoadRunner, Gatling, k6, BlazeMeter, Locust, NeoLoad.
Define appropriate workload models based on production usage patterns.
Monitoring & Analysis: Monitor system behavior under load using APM tools such as Dynatrace, AppDynamics, Datadog, New Relic, Prometheus/Grafana, Splunk.
Analyze performance metrics (CPU, memory, response time, throughput, latency, GC, network).
Identify system bottlenecks across application, infrastructure, and database layers.
Optimization & Tuning: Work with DevOps, Cloud, Development, and Database teams to tune JVM, application servers, caching layers, APIs, and DB queries; optimize architecture for scalability and high availability; recommend improvements in system and code performance.
Reporting & Documentation: Prepare detailed performance reports with key KPIs, baseline benchmarks, regression comparison, bottleneck findings, optimization recommendations; participate in performance reviews and provide technical feedback.
Required Skills & Qualifications
Bachelor's degree in Computer Science, Engineering, or related field.
3+ years hands‑on experience in performance engineering.
Strong experience with performance testing tools: JMeter, LoadRunner, Gatling, k6, BlazeMeter, Locust, NeoLoad, etc.
Expertise in profiling and APM monitoring tools: AppDynamics, Dynatrace, Datadog, New Relic, Grafana, Prometheus, etc.
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Hybrid/Remote/On-site
Experience Level:
38 Years
Employment Type:
Full-time
About the Role We are looking for a highly skilled Performance Engineer to join our team and ensure the scalability, stability, and responsiveness of our applications and systems. The ideal candidate has experience with performance testing, tuning, monitoring, and root‑cause analysis across web/mobile applications, APIs, microservices, and distributed systems.
Key Responsibilities
Performance Testing & Engineering: Design, develop, and execute performance test strategies including load, stress, endurance, spike, and capacity tests.
Develop and maintain automated performance test scripts using tools like JMeter, LoadRunner, Gatling, k6, BlazeMeter, Locust, NeoLoad.
Define appropriate workload models based on production usage patterns.
Monitoring & Analysis: Monitor system behavior under load using APM tools such as Dynatrace, AppDynamics, Datadog, New Relic, Prometheus/Grafana, Splunk.
Analyze performance metrics (CPU, memory, response time, throughput, latency, GC, network).
Identify system bottlenecks across application, infrastructure, and database layers.
Optimization & Tuning: Work with DevOps, Cloud, Development, and Database teams to tune JVM, application servers, caching layers, APIs, and DB queries; optimize architecture for scalability and high availability; recommend improvements in system and code performance.
Reporting & Documentation: Prepare detailed performance reports with key KPIs, baseline benchmarks, regression comparison, bottleneck findings, optimization recommendations; participate in performance reviews and provide technical feedback.
Required Skills & Qualifications
Bachelor's degree in Computer Science, Engineering, or related field.
3+ years hands‑on experience in performance engineering.
Strong experience with performance testing tools: JMeter, LoadRunner, Gatling, k6, BlazeMeter, Locust, NeoLoad, etc.
Expertise in profiling and APM monitoring tools: AppDynamics, Dynatrace, Datadog, New Relic, Grafana, Prometheus, etc.
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