We are looking for a Senior Performance Test Engineer with 7+ years of experience in SaaS applications, APIs, ETL pipelines, and cloud-native platforms with special focus on performance testing.
The candidate will be responsible for performance testing, bottleneck analysis, scalability validation, and system optimization across distributed environments.
Design and deliver clear performance reports tailored for business stakeholders and clients.
Mentor and guide junior team members to elevate overall team capabilities.
Collaborate with cross-functional teams to identify and resolve critical performance bottlenecks.
Requirements
Key Responsibilities
- Design and execute load, stress, endurance, and scalability tests.
- Perform performance testing for:
- SaaS applications
- REST APIs
- Microservices
- ETL/Data pipelines
- Test Data Preparation as per API documentation and ETL transformation
- Synthetic data generation for database test
- SaaS applications
- Analyses application, database, and infrastructure bottlenecks.
- Monitor system performance using APM and observability tools.
- Validate Kubernetes pod and cluster performance under varying workloads and suggest gaps and improvements.
- Work closely with DevOps, QA, and Engineering teams for performance tuning.
- Integrate performance tests into CI/CD pipelines.
Required Skills
- Strong understanding of executing performance tests on:
- APIs
- Microservices
- ETL workflows
- SQL & NoSQL database performance
- Graph database (Neo4j, Neptune) performance
- APIs
- Experience with Kubernetes, Docker, and cloud environments.
- Experience with Jenkins, Git, and CI/CD pipelines.
- Programming Languages: Proficiency in Java, Python, or Go for custom test scripting and log processing.
- Testing Frameworks: Deep hands-on expertise with Apache JMeter, Gatling, Locust, or LoadRunner.
- APM & Observability: Mastery of monitoring tools like Dynatrace, AppDynamics, Datadog, New Relic, Splunk, Grafana, and Prometheus.
- Architecture & Cloud: Strong understanding of distributed systems, Microservices, and cloud-native ecosystems (AWS, Azure).
- Database Tuning: Experience analyzing query plans, locking mechanisms, and optimizing SQL/NoSQL databases
Preferred Skills
- Cloud platforms:
- Amazon Web Services
- Microsoft Azure
- Google Cloud
- Amazon Web Services
- Kafka/Event-driven architecture exposure.
- Experience in Agile/Scrum environments.
Skills Required
- 7+ years of experience in SaaS applications, APIs, ETL pipelines, cloud-native platforms, and performance testing
- Experience designing and executing load, stress, endurance, and scalability tests
- Performance testing experience with APIs, microservices, ETL workflows, and synthetic test data generation
- Experience with SQL and NoSQL database performance, query plans, locking mechanisms, and database optimization
- Experience analyzing graph database performance with Neo4j or Neptune
- Experience with Kubernetes, Docker, and cloud environments
- Experience with Jenkins, Git, and CI/CD pipelines
- Proficiency in Java, Python, or Go for custom test scripting and log processing
- Deep hands-on expertise with Apache JMeter, Gatling, Locust, or LoadRunner
- Mastery of APM and observability tools including Dynatrace, AppDynamics, Datadog, New Relic, Splunk, Grafana, or Prometheus
- Strong understanding of distributed systems, microservices, and cloud-native ecosystems
- Experience validating Kubernetes pod and cluster performance under varying workloads
- Experience collaborating with DevOps, QA, and Engineering teams on performance tuning
- Experience with AWS, Microsoft Azure, or Google Cloud
- Exposure to Kafka or event-driven architecture
- Experience in Agile or Scrum environments
What We Do
Facctum is a compliance-technology company that helps financial institutions manage financial-crime risk. Its software provides watchlist management, customer and payment screening, transaction monitoring, alert adjudication, and related due-diligence capabilities. Using machine learning, dynamic screening, and data-centric tooling, Facctum aims to improve detection, regulatory compliance, operational efficiency, and customer experience across complex financial-services environments through configurable, scalable platforms designed for regulated organizations worldwide.
