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Backend Performance Testing Engineer

Aarorn Technologies Inc

Toronto, Ontario, Canada (Hybrid) · Contrato

Sé el primero en postularte

Experiencia
Cualquier
Salario
CAD 40 – CAD 40 / hour
Vacantes
1
Al corriente
Hace 4 horas
Work mode
Híbrido
Eligibility
Candidates with hands-on backend performance testing experience, Dynatrace exposure, SQL proficiency, and the ability to work onsite in Toronto three days a week are suitable for this role.
Resume
Required to apply

Where you'll work

Descripción del trabajo

Job Overview

Aarorn Technologies Inc is hiring a Backend Performance Testing Engineer to support backend systems that must remain scalable, dependable, and efficient when exposed to heavy demand. The role focuses on performance validation, diagnostics, and database checks to uncover bottlenecks and improve system behavior.

Location and Work Arrangement

This position is based in Toronto, Ontario, Canada, with an onsite expectation of three days per week.

Compensation

The offered rate is CAD 40 per hour (inclusive).

Key Responsibilities

The selected engineer will design and run load, stress, and endurance tests; monitor system behavior with diagnostics tools; validate backend data and transactions through SQL; analyze performance indicators such as response time, throughput, CPU, and memory use; and help troubleshoot test environments and infrastructure limitations.

Tools and Technical Focus

Day-to-day work involves performance testing platforms such as LoadRunner, JMeter, and K9, along with Dynatrace for tracing and system monitoring. The role also requires working with Kubernetes or similar infrastructure tooling when investigating environment issues.

Qualifications

Applicants should have solid hands-on experience in backend performance testing, practical knowledge of Dynatrace, strong SQL skills for database validation, and the ability to interpret metrics and identify root causes through analytical problem-solving.

Additional Information

This is a contract opportunity. The hiring process may use AI-assisted tools, but final recruitment decisions are made by the recruitment team after a full review of candidates.

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