Posted on: 22/05/2026
Description :
Key Responsibilities :
1. Load testing
2. Stress testing
3. Endurance testing
4. Scalability testing
- Perform performance testing across :
1. SaaS applications
2. REST APIs
3. Microservices
4. ETL/Data pipelines
- Prepare test data based on :
1. API documentation
2. ETL transformations
- Generate synthetic data for database testing
- Analyze performance bottlenecks across :
1. Applications
2. Databases
3. Infrastructure
- Monitor system performance using APM and observability tools
- Validate Kubernetes pod and cluster performance under varying workloads
- Collaborate with DevOps, QA, and Engineering teams for performance tuning
- Integrate performance testing into CI/CD pipelines
Required Skills :
- Performance Testing Tools :
1. JMeter
2. LoadRunner
3. Gatling / k6
- Core Technical Knowledge:
1. APIs and Microservices architecture
2. ETL workflows
3. SQL & NoSQL database performance optimization
4. Graph databases (Neo4j, Amazon Neptune)
- Infrastructure & Monitoring:
1. Kubernetes and Docker
2. Cloud environments
3. Monitoring tools : Grafana Prometheus Dynatrace Splunk
- Programming & DevOps
1. Scripting in Java, Python, or Shell
2. CI/CD tools such as Jenkins
3. Version control using Git
Preferred Skills :
1. Amazon Web Services (AWS)
2. Microsoft Azure
3. Google Cloud Platform (GCP)
- Exposure to Kafka and event-driven architectures
- Experience working in Agile/Scrum environments
Qualifications :
- 3 to 4 years of relevant experience in Performance Engineering
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Posted by
Libby
Human Resourse Analyst at Facctum
Last Active: NA as recruiter has posted this job through third party tool.
Posted in
Quality Assurance
Functional Area
QA & Testing
Job Code
1638059