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Performance & Reliability Engineer

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Onsite

Performance & Reliability Engineer

Quest Global

Performance & Reliability Engineer

Skills

MicroservicesGrafanaSplunkAIPrometheus

23 days ago

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Important information


Contract type:

Permanent

Location:

Karnataka, India

Work mode:

Onsite

Published on:

29 September 2026

What they need


Job Requirements

Role Summary

We are seeking a hands-on Performance & Reliability Engineer with strong expertise in JMeter, enterprise-scale NFR testing, and modern AI-assisted engineering tools (Copilot, Claude, etc.). The primary focus areas are Performance, Reliability, Scalability, Resilience, and Failover Testing.

Responsibilities

  • Define and execute NFR test strategies, plans, and acceptance criteria for enterprise applications.
  • Design and perform performance, load, stress, endurance, scalability, failover, recovery, and reliability testing.
  • Create realistic test data, workloads, and production-like environments for NFR validation.
  • Analyze system bottlenecks across applications, databases, infrastructure, and networks, and drive optimization efforts.
  • Validate system resilience through failover, disaster recovery, chaos, and recovery testing.
  • Integrate automated NFR testing into CI/CD pipelines and leverage AI tools to accelerate test design and analysis.
  • Evaluate system performance, availability, latency, throughput, and reliability against defined SLAs/SLOs.

Work Experience

Required Skills

  • 6-8 years of experience in Performance Engineering, Reliability Engineering, or NFR Testing.
  • Strong hands-on expertise with Apache JMeter.
  • Experience defining and implementing NFR test strategies for large-scale enterprise applications.
  • Strong knowledge of:
    • Performance, Load, Stress, and Endurance Testing
    • Reliability, Scalability, Resilience, and Failover Testing
    • Capacity Planning and Recovery Testing
    • Chaos Engineering
  • Experience creating synthetic test data and realistic test environments.
  • Knowledge of distributed systems, microservices, cloud platforms, and observability tools such as Grafana, Dynatrace, Splunk, or Prometheus.
  • Hands-on exposure to AI tools such as Copilot, Claude, or ChatGPT.

Preferred Skills

  • Experience testing large-scale platforms such as OTT, collaboration platforms (e.g., Teams), or other high-volume enterprise systems.
  • Medical/Healthcare domain experience is a plus but not mandatory.
  • Strong learning mindset and passion for Performance & Reliability Engineering.

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