Senior QA SW Engineer -Toronto, Canada (10302)

Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions. They rely on our top-rated services and support to accelerate their digital transformation efforts and deliver unprecedented progress.

Become part of something big with Extreme! As a global networking leader, learn why there is no better time to join the Extreme team.

Position details

Title of position: Senior QA Software Engineer

Position type: Full time

Location: Thornhill, Toronto, Canada

Position reports to: Senior Manager of Software Systems Engineering

Application deadline: Applications are being accepted on a rolling basis and this posting will remain open until filled.

Work authorization: Applicants must have legal authorization to work in the country where the role will be performed.

Required Skills & Experience:

Hands-on experience in wired networking protocols including VLAN, IP, STP, TCP/UDP, VRRP, OSPF, BGP, MPLS, IS-IS, SPBM

OR

Hands-on experience in Enterprise Wireless LAN testing and validation.

Solid understanding of network security concepts such as AAA (Authentication, Authorization, Accounting), 802.1X, VPN, Captive Portal, IPsec, and Firewalls.

Strong knowledge of network infrastructure services including DHCP, DNS, RADIUS, LDAP, SSH, and Certificate Authorities.

Hands-on experience with cloud platforms such as AWS, Azure, or GCP.

Strong understanding of cloud-native and distributed systems (microservices, APIs, service communication).

Experience with containerization and orchestration technologies such as Docker and Kubernetes.

Strong knowledge of cloud middleware like RabbitMQ & Kafka.

Proven expertise in triaging, reproducing, and resolving complex customer or field issues in large-scale or production environments.

Familiarity with observability tools (metrics, logging, tracing) such as Prometheus, Grafana, ELK, or Loki.

Strong root cause analysis (RCA) skills across networking, application, OS, and cloud layers.

Experience in building or using AI & automation tools for debugging, log analysis, and issue resolution.

Strong programming & debugging skills in Python, Java, or similar languages.

Good to have

Familiarity with traffic generation tools such as Ixia or Spirent.

Knowledge of virtualization technologies such as ESX and Hyper-V.

Good communication and collaboration skills to work across development, QA, SRE, and support teams.

Relevant certifications (CCNA, CWNA/CWSP, CompTIA Security+, or cloud certifications)

Extreme Networks also strives to prevent other, subtler forms of inappropriate behavior (for example, stereotyping) from ever gaining a foothold in our organization. Whether blatant or hidden, barriers to success have no place at Extreme Networks. We encourage people from underrepresented groups to apply.

This role offers a market‑competitive salary with an anticipated base compensation range of 110,000 to 120,000 CAD. Actual compensation will depend on the selected candidate’s experience, qualifications, skills, and work location. The posted range reflects the amount Extreme Networks reasonably and in good faith expects to pay upon hire. This range is determined using objective, gender‑neutral criteria based on skills, experience, responsibility, and working conditions. In addition to base pay, this role is eligible for a performance‑based bonus and the full benefits package described below.

Benefits and total rewards:

Extreme Networks offers a comprehensive benefits package. Specific benefits vary by country and may include:

Medical, dental, and vision insurance

Flexible work schedules and work-from-home opportunities where role permits

Paid time off, including open time off in eligible markets and statutory leave in all markets

Paid holidays in accordance with local practice

Retirement savings programs, including RRSP matching in Canada

Employee Stock Purchase Program, where eligible

Employee assistance program

Tuition reimbursement, where eligible

Benefits eligibility is based on country of employment, role, and employment status. Complete benefits details will be provided during the interview process and in the formal offer of employment.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.