8 years

0 Lacs

Posted:11 hours ago| Platform: Linkedin logo

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Remote

Job Type

Full Time

Job Description

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


#LI-SR4

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