Senior Performance Test Engineer
We're looking for a seasoned Performance Test Engineer with 5+ years of hands-on experience in performance, reliability, and resilience engineering for modern cloud-native systems. You ll design and execute end to end performance testing strategies across Load, Stress, Spike, Endurance, Capacity, Failover, DR, Chaos Engineering, Fault Injection , and Game Day exercises. You ll be deeply technical and comfortable with tools like Apache JMeter, Locust, AWS Distributed Load Testing (DLT), and AWS Fault Injection Simulator (FIS) .
Key Responsibilities Performance & Scalability
- Define and execute performance test strategies covering Load, Stress, Spike, Endurance, and Capacity testing.
- Build, maintain, and optimize test scripts using JMeter and Locust ; parameterize, correlate, and modularize for reusability.
Reliability, Resilience & Recovery
- Design and run Failover , Disaster Recovery (DR) , and Resilience tests to validate RTO/RPO , multi AZ/region failover, and recovery runbooks.
- Use AWS FIS to inject faults (network latency/packet loss, CPU/memory stress, AZ disruptions, instance terminations) and validate blast radius containment.
- Partner with SRE/Platform teams to define chaos hypotheses , measure steady state, and implement auto remediation and graceful degradation patterns.
Cloud & Observability
- Use AWS DLT to orchestrate scalable distributed load tests; automate workloads via CloudWatch Events , Step Functions , or pipelines.
- Instrument and analyze performance using Amazon CloudWatch, X Ray , and APM tools ( Dynatrace/AppDynamics ), plus Prometheus/Grafana .
Engineering & Automation
- Integrate performance tests into CI/CD (GitHub Actions/Azure DevOps/Jenkins/GitLab), with auto gating based on thresholds.
- Build utilities/frameworks for data generation, environment setup, and report automation (Python/Java).
- Analyze results (percentiles, tail latency, saturation), identify bottlenecks (DB, cache, network, I/O), and drive fixes with DevOps/Engineering.
Game Days & Readiness
- Plan and facilitate Game Day exercises simulating peak traffic, dependency failures, regional outages, and DR drills.
- Document test plans, hypotheses, playbooks, and post incident reviews with measurable improvements.
Nice to Have
- AWS Certification (Solutions Architect/Developer/SysOps/SRE) plus .
- Experience with Kubernetes/EKS , service meshes (Istio), HPA/auto scaling, and pod/resource tuning.
- Knowledge of CDNs (CloudFront) , Edge compute/Lambda@Edge , and WAF impacts on performance.
- Familiarity with security/perf trade offs , TLS tuning, connection pooling, and circuit breakers.
- B.E./B.Tech
- 5-7 years of experience in performance engineering for web, APIs, and distributed systems.
- Strong hands-on expertise with Apache JMeter and Locust (test design, correlation, parametrization, CI integration).
- Practical experience with AWS Distributed Load Testing (DLT) and AWS Fault Injection Simulator (FIS).
- Deep understanding of HTTP/HTTPS, WebSockets, REST, gRPC, and messaging systems (Kafka/SQS).
- Proficiency in Python and/or Java for scripting and custom extensions.
- Solid grounding in scalability patterns, caching (Redis/Memcached), databases (RDS/Aurora/DynamoDB), and CDN behavior.
- Hands-on experience with observability tools: metrics, traces, logs, dashboards, alerting (CloudWatch, X-Ray, Prometheus/Grafana, Datadog/New Relic).
- Experience executing Load, Stress, Spike, Endurance, Capacity, Failover, DR, and Chaos/Fault Injection tests and interpreting results.
- Ability to define SLIs/SLOs, capacity models, and performance budgets; strong data analysis and communication skills.
