Senior Performance Test Engineer

• 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.
• Spearhead End-to-End (E2E) performance testing and generate comprehensive metrics to evaluate system health.
• 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
• 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
• 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

Kafka/Event-driven architecture exposure.

Experience in Agile/Scrum environments.