Performance & Reliability Engineer
- Posted 12 hours ago
- Be among the first 10 applicants
Job Description
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
Required Skills
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.
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.
- 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.
More Info
Key Skills
NFR testing
AI tools
Chaos Engineering
cloud platforms
Copilot
Claude
Performance Load Stress and Endurance Testing
observability tools
Capacity Planning and Recovery Testing
ChatGPT
Reliability Scalability Resilience and Failover Testing
