Sr. SQE Performance Testing

Technical

5 to 8 years of hands-on experience in Performance Engineering.

Strong expertise in any of the performance testing tools (code as a test) such as Gatling, K6, Locust, or similar.

Solid understanding of performance testing methodologies, workload modeling, and capacity planning.

Hands-on experience with monitoring & observability tools (e.g., Grafana, Prometheus, Dynatrace, Datadog, AppDynamics, New Relic, or similar).

Strong exposure to CI/CD tools (e.g., Jenkins, Azure DevOps, GitHub Actions, etc.).

Experience analyzing system metrics (CPU, memory, I/O, network, database performance).

Proficiency in any scripting/programming language (Java, Python, JavaScript, etc.).

Exposure to cloud environments (AWS, Azure, GCP) and containerized systems (Docker, Kubernetes).

Leadership & Collaboration

Excellent communication skills with the ability to present performance insights to stakeholders.

Ability to take ownership and make data-driven decisions in high-pressure scenarios.

A team player who can challenge constructively and drive quality excellence.

Mindset

A strong quality mindset with attention to detail and deep curiosity to identify system limits.

Hands-on, proactive, and continuously learning.

Nice to Have

Experience in PLM (Product Lifecycle Management) or Digital Manufacturing domains.

Experience in API performance testing and microservices architecture.

Knowledge of shift-left performance testing and performance engineering practices.