Performance Engineer - AWS Cloud Platform

V-Soft Consulting Corporation Private LimitedHyderabad

2 days ago

Job description

Description :

Design and execute comprehensive Load, Stress, Endurance, Spike, and Volume tests using tools like Apache JMeter, LoadRunner, or NeoLoad.
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, CloudWatch, 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 DevOps to ensure test pods are deployed and scaled properly in Kubernetes clusters.

Monitoring & Observability :

Use tools like Grafana, CloudWatch, 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, GitHub Actions, or AWS CodePipeline.

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, CloudWatch, Datadog, Prometheus.

Basic scripting in Python, Shell, or Groovy.

Experience in testing REST APIs, microservices, and containerized applications.

Nice-to-Have :

AWS Certification (Cloud Practitioner, Developer Associate, or DevOps Engineer).

Experience with Terraform, Helm, or Kustomize.

Familiarity with chaos testing or resilience validation.

Experience with service mesh performance.

(ref : hirist.tech)

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