Performance Engineer

Role: Performance Test Engineer AWS Cloud & EKS

Location

Experience

Job Type

Role Overview:

Performance Test Engineer

The ideal candidate will combine expertise in performance tools with strong knowledge of containerized infrastructure, observability, and caching strategies to ensure scalability, speed, and system health across high-traffic platforms.

Key Responsibilities:

Performance Engineering:

• 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 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, 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