Performance engineer

4 days ago

Hyderabad, India V-Soft Consulting Group, Inc. Full time

Performance Engineering:- Design and execute comprehensive Load, Stress, Endurance, Spike, and Volume tests using tools like Apache JMeter, Load Runner, or Neo Load.- Build robust performance test frameworks tailored for microservices hosted on EKS.- Conduct end-to-end performance benchmarking across API, database, and UI layers.AWS Cloud and EKS Focus:- Work directly with AWS services such as EKS, EC2, S3, RDS, Cloud Watch, and Application Load Balancer (ALB) during test planning and execution.- Simulate real-world distributed load in EKS-based environments and evaluate auto-scaling behaviors, node performance, and pod-level resource usage.- Collaborate with Dev Ops to ensure test pods are deployed and scaled properly in Kubernetes clusters.Monitoring & Observability:- Use tools like Grafana, Cloud Watch, Prometheus, Datadog, and New Relic to monitor performance metrics in real time.- Analyze system behavior through dashboards, logs, and alerts to identify performance bottlenecks and degradation.- Capture pod-level metrics (CPU, memory, network) from Kubernetes namespaces and workloads under test.CI/CD and Automation Integration:- Integrate performance test suites into CI/CD pipelines using tools like Jenkins, Git Hub Actions, or AWS Code Pipeline.- Ensure automated execution of performance tests as part of build validations and release gates.Reliability & Caching Validation:- Validate caching layers (Redis, CDN, Memcached) and their impact on response time under high load.- Provide recommendations to improve system reliability, latency, and throughput using test results and observability data.Must-Have Skills:- 8+ years in Performance Testing & Engineering- Strong expertise with JMeter, Neo Load , or similar tools- Solid hands-on experience with AWS and especially EKS (pods, nodes, services, auto-scaling)- Strong understanding of Kubernetes workloads, Helm charts, and config maps- Familiarity with monitoring and logging in cloud-native environments: Grafana, Cloud Watch, Datadog, Prometheus- Basic scripting in Python, Shell, or Groovy- Experience in testing REST APIs, microservices, and containerized applicationsNice-to-Have:- AWS Certification (Cloud Practitioner, Developer Associate, or Dev Ops Engineer)- Experience with Terraform, Helm, or Kustomize- Familiarity with chaos testing or resilience validationExperience with service mesh performance

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