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Senior Network Engineer Jobs in Kitchener, ON (NOW HIRING)

WSP

Senior Landfill Gas Engineer

Cambridge, ON · On-site

CA$159K - CA$211K/yr

Develop and advance landfill gas design standards, methodologies, and innovative engineering practices. * Serve as a trusted expert, providing guidance to clients, senior leaders, and ...

WSP

Senior Landfill Gas Engineer

Cambridge, ON · On-site

CA$159K - CA$211K/yr

Develop and advance landfill gas design standards, methodologies, and innovative engineering practices. * Serve as a trusted expert, providing guidance to clients, senior leaders, and ...

Alpaca

Senior AI Platform Engineer

Waterloo, ON · On-site

As Senior AI Platform Engineer, you will own the technical capability layer that makes that possible. You will build and maintain the platform infrastructure, connectors, execution patterns, and self ...

JLL

Senior Maintenance Manager

Cambridge, ON · On-site

Help manage vendor support and equipment relationships and leverage network size to maximize ... Proficient data analyst and new processes developer/adapter. * Self-starter. Strong evidence of ...

Semtech

Sr. Staff Analog Design Engineer

Burlington, ON · On-site

CA$112K - CA$150K/yr

Our experience and expertise ensure that we are always pushing the boundaries of networking speed ... Job Summary: As a Senior / Principal Analog IC Design Engineer, you will design, verify, and ...

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All JobsNetwork Engineer JobsSenior Network Engineer JobsSenior Network Engineer Jobs in Kitchener, ON

Senior Network Engineer information

What is a senior network engineer?

Senior Network Engineers are experienced IT professionals responsible for designing, implementing, and managing complex computer networks within organizations. They oversee network infrastructure, troubleshoot issues, ensure network security, and optimize performance. Typically, they lead network projects, mentor junior staff, and collaborate with other IT teams to support business operations. Their expertise covers a range of technologies, including routers, switches, firewalls, and cloud networking.

What does a senior network engineer do?

A senior network engineer builds and maintains data communication networks for a company or organization. As a senior network engineer, you have several years of industry experience and lead a team of junior network engineers and network administrators to ensure both the local area network (LAN) and wide area network (WAN) are functioning properly. Your job duties include installing software and hardware, creating a layout plan for cables, and troubleshooting and solving problems that arise with the networks for which you are responsible.

What are the key skills and qualifications needed to thrive as a senior network engineer, and why are they important?

To excel as a Senior Network Engineer, you need a deep understanding of network architecture, protocols, security, and typically a bachelor's degree in computer science or a related field. Expertise in configuring and troubleshooting routers, switches, firewalls, and experience with tools like Cisco IOS, Juniper, or cloud networking platforms, along with certifications such as CCNP or CCIE, are highly valued. Strong problem-solving abilities, communication skills, and leadership are crucial for designing solutions and collaborating with IT teams. These competencies ensure reliable, secure, and scalable network infrastructures that support critical business operations.

What are some common challenges faced by senior network engineers when managing large-scale network infrastructures?

Senior Network Engineers often encounter challenges such as integrating new technologies into legacy systems, ensuring network security across a growing number of devices, and maintaining high availability while performing upgrades or troubleshooting. Balancing the demands of multiple stakeholders—like IT, security, and business units—can also be complex. Staying updated with evolving protocols and proactively identifying potential performance bottlenecks are crucial parts of effectively managing large-scale environments.

What is the difference between Senior Network Engineer vs Network Administrator?

AspectSenior Network EngineerNetwork Administrator
CertificationsCCNP, CCIE, Cisco certificationsCCNA, CompTIA Network+
Work EnvironmentDesign, implement, and troubleshoot complex networksMaintain and support existing network infrastructure
ResponsibilitiesNetwork architecture, advanced troubleshooting, project leadershipNetwork setup, monitoring, routine maintenance

While both roles involve network management, a Senior Network Engineer focuses on designing and implementing complex network solutions, often leading projects. In contrast, a Network Administrator primarily maintains and supports existing networks, ensuring smooth daily operations.

More about Senior Network Engineer jobs

What are the most commonly searched types of Network Engineer jobs in Kitchener, ON?

The most popular types of Network Engineer jobs in Kitchener, ON are:

What cities near Kitchener, ON are hiring for Senior Network Engineer jobs?

Cities near Kitchener, ON with the most Senior Network Engineer job openings:

Senior Network Engineer jobs near you
Infographic showing various Senior Network Engineer job openings in Kitchener, ON as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, and 5% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution.

Senior Staff Machine Learning Platform Engineer

Faire

Kitchener, ON • On-site, Remote

CA$248K - CA$341K/yr

Full-time

Re-posted 20 hours ago

Job description

Note: This role can also be performed remotely for candidates located in Ontario, Canada.

About this role

As the Senior Staff Machine Learning Platform Engineer, you will own the technical vision and evolution of Faire's ML platform. You will set standards, influence org-wide architecture, and lead complex, cross-functional initiatives that unlock data science velocity at scale.  This role will also be key to adapting ML workflows to take advantage of modern AI productivity tools. You won't just build models, you will architect the systems that allow those models to help tens of thousands of small retailers compete and grow their local businesses.

What You Will Do

  • Define and drive the long-term architecture of Faire's ML platform including training, inference, feature management, governance
  • Establish company-wide standards for code quality, testing, MLOps (CI/CD), experimentation, model lifecycle management, and observability
  • Lead adoption and advanced use of Unity Catalog, multi-workspace strategies, and data/ML mesh patterns
  • Architect highly scalable ML workflows using Spark, Delta Lake, and MLflow
  • Optimize performance, reliability, and cost of the ML platform
  • Evaluate and integrate emerging Databricks features
  • Stay ahead of the curve by engaging with the latest developments in machine learning and AI
  • Serve as senior ML technical advisor to Faire's data science and production engineering teams 
  • Represent Faire at ML conferences and meetups
  • Mentor ML engineers and raise the overall bar for Machine Learning at Faire

What it takes

  • 10-12 years of experience building and improving large-scale ML or data platforms.
  • A degree (preferably graduate level) in Computer Science, Engineering, Statistics, or a related technical field.
  • Deep expertise in Databricks lakehouse architecture, including governance via Unity catalog, orchestration via Workflows, and cost optimization
  • Proven ability to design systems that support multiple data science teams and production workloads
  • Strong background in distributed systems, ML infrastructure, and cloud architecture.
  • Demonstrated technical leadership across teams and orgs; ability to influence without authority
  • Experience integrating LLM workflows into enterprise platforms is a plus
  • Previous contributions to open source ML Infrastructure projects or research publications is a very strong plus

Tech Stack

Faire uses a modern cloud based tech stack.  For this role, you'll want to be proficient with the following:

Category

Technologies

Languages

Python, SQL, Kotlin

ML Frameworks

PyTorch, PySpark, MLFlow 

Big Data & Processing

Spark, Kafka, Databricks, Snowflake, Fivetran, Iceberg, Unity Catalog, Datadog, Airflow, Cockroach DB, MySQL

Cloud & Infrastructure

AWS, S3, SageMaker, Kubernetes, Docker, GitHub Actions, Terraform

Generative AI

Claude Sonnet 4.5, ChatGPT 5.2

Salary Range

Canada: the pay range for this role is $248,000 to $341,000 per year. 

This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.

Faire uses Artificial Intelligence (AI) to screen and select applicants for this position.

This job posting is for an existing vacancy.

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