Performance and Reliability Engineer

Quest Global; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Quest Global Bengaluru is seeking a seasoned Performance and Reliability Engineer to lead NFR testing for large-scale enterprise systems. You will design test strategies, define non-functional requirements, and drive hands-on performance assessment across distributed microservices.

The ideal candidate has 6-8 years in performance engineering, strong JMeter skills, and experience with observability tools like Grafana, Dynatrace, Splunk, or Prometheus, plus familiarity with AI tools such as

Qualifications

• 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.
• Knowledge of Performance, Load, Stress, Endurance testing; Reliability, Scalability, Resilience, and Failover testing.
• Experience creating synthetic test data and realistic test environments.
• Knowledge of distributed systems, microservices, cloud platforms, and observability tools (Grafana, Dynatrace, Splunk, Prometheus).
• Hands-on exposure to AI tools such as Copilot, Claude, or ChatGPT.

Skills

Performance Engineering

Reliability Engineering

NFR Testing

Apache JMeter

Test Strategy

Distributed Systems

Cloud Platforms

Observability

AI Tools

Chaos Engineering

Tools

Grafana

Dynatrace

Splunk

Prometheus

Copilot

Claude

ChatGPT

Job description

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.