Posted Apr 25, 2026
As a Senior SDET Performance Testing, you will be responsible for designing, building, and executing robust performance testing strategies for backend platforms and cloud-native services. Your deep expertise in performance engineering, backend systems, microservices, and cloud infrastructure, along with strong hands-on experience in Gatling and Java, will be key in ensuring systems meet scalability, reliability, and performance expectations under real-world loads. Key Responsibilities:
Design and implement end-to-end performance testing strategies aligned with non-functional requirements (NFRs) such as scalability, latency, throughput, and reliability. - Define performance benchmarks, SLAs, and acceptance criteria for backend services and APIs. - Drive performance testing across load, stress, spike, endurance, and scalability scenarios. - Develop, maintain, and enhance scalable automated performance test frameworks using Gatling (Scala/Java). - Build reusable test components and data-driven test suites for microservices-based architectures. - Integrate performance tests into CI/CD pipelines for continuous performance validation. - Gain a deep understanding of backend platforms, including REST/GraphQL APIs, databases (SQL/NoSQL), and distributed systems and microservices. - Execute performance testing in cloud environments (AWS, GCP). - Set up and manage test environments using Docker and Kubernetes. - Validate horizontal pod autoscaling (HPA) and container scalability under production-like load. - Monitor and analyze performance metrics such as response time, throughput, error rates, CPU/memory utilization, and network latency. - Identify bottlenecks across application, database, and infrastructure layers. - Collaborate with DevOps, Backend Engineers, and SREs to tune applications, containers, and infrastructure. - Prepare detailed performance test reports with insights, trends, and actionable recommendations. - Communicate findings effectively to both technical and non-technical stakeholders. - Maintain documentation for test strategies, scripts, execution results, and performance baselines. - Contribute to capacity planning and infrastructure sizing exercises. - Evaluate and validate autoscaling strategies for containers, pods, and backend services. - Recommend performance and infrastructure improvements to support future growth. Required Skills & Qualifications:
5+ years of experience as an SDET / Performance Test Engineer / Performance Engineer. - Strong hands-on experience with Gatling and Java for performance testing. - Solid understanding of QA automation principles and test framework design. - Strong experience testing backend systems, APIs, and microservices. - Hands-on experience with Docker and Kubernetes, including autoscaling concepts. - Experience working in cloud platforms (AWS and/or GCP). - Strong knowledge of performance testing methodologies and NFRs. - Ability to analyze system-level metrics and identify performance bottlenecks. As a Senior SDET Performance Testing, you will be responsible for designing, building, and executing robust performance testing strategies for backend platforms and cloud-native services. Your deep expertise in performance engineering, backend systems, microservices, and cloud infrastructure, along with strong hands-on experience in Gatling and Java, will be key in ensuring systems meet scalability, reliability, and performance expectations under real-world loads. Key Responsibilities:
Design and implement end-to-end performance testing strategies aligned with non-functional requirements (NFRs) such as scalability, latency, throughput, and reliability. - Define performance benchmarks, SLAs, and acceptance criteria for backend services and APIs. - Drive performance testing across load, stress, spike, endurance, and scalability scenarios. - Develop, maintain, and enhance scalable automated performance test frameworks using Gatling (Scala/Java). - Build reusable test components and data-driven test suites for microservices-based architectures. - Integrate performance tests into CI/CD pipelines for continuous performance validation. - Gain a deep understanding of backend platforms, including REST/GraphQL APIs, databases (SQL/NoSQL), and distributed systems and microservices. - Execute performance testing in cloud environments (AWS, GCP). - Set up and manage test environments using Docker and Kubernetes. - Validate horizontal pod autoscaling (HPA) and container scalability under production-like load. - Monitor and analyze performance metrics such as response time, throughput, error rates, CPU/memory utilization, and network latency. - Identify bottlenecks across application, database, and infrastructure layers. - Collaborate with DevOps, Backend Engineers, and SREs to tune applications, containers, and infrastructure. - Prepare detailed performance test reports with insights, trends, and actionable recommendations. - Communicate findings effectively to both t
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