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Added 1 month ago
Product Engineer
FluidAI Medical
Kitchener, ON
$100,000 to $120,000 CAD / year
Build and ship product features across the full stack (Python backend, TypeScript/React frontend).
Added 1 month ago
Principal AI Engineer
Workday
Vancouver, BC · Canada, BC, Vancouver
Full-time
Added 1 month ago
Senior Artificial Intelligence Platform Engineer & Fabrics
BMO
Toronto, ON · BMOPLACE
Full-time
…hardening and scaling real engineering assets; an existing developer portal, an AI registry, a body of policy-as-code, and gateway integrations into enterprise-grade…
Added 1 month ago
Senior Artificial Intelligence Platform Engineer, AI Platform & Fabrics
BMO
Toronto, ON · BMOPLACE
Full-time
…hardening and scaling real engineering assets; an existing developer portal, an AI registry, a body of policy-as-code, and gateway integrations into enterprise-grade…
Added 1 month ago
Head of Toronto AI Center
Samsung Research America
Toronto, ON
Strong algorithmic problem-solving skills, and the ability to program in C/C++, Python, Java, etc.
Added 1 month ago
Senior Security Engineer II
Braze
Toronto, ON
Added 1 month ago
AI Software Engineer
Eclipse Automation
Cambridge, ON
Build backend APIs, services, workers, and integration components using Python and one or more of .NET/C# or Node.js.
Added 1 month ago
AI Engineer
YuJa Inc.
Toronto, ON · North York, Ontario
Full-time
Proficiency in Python and frameworks like PyTorch, NumPy, SciPy, Scikit-learn, and OpenCV.
Added 1 month ago
Manager, AI Strategy & Innovation
Pier 4 Ltd
Toronto, ON
Full-time
Software Engineering Mastery: Strong proficiency in Python or TypeScript, with a deep understanding of asynchronous programming, API design, and microservices architecture.
Added 1 month ago
Business Analyst
d1g1t
Toronto, ON
Full-time
Experience with: Excel, Google Suite, Notion, Slack, Python, SQL.
Added 1 month ago
Sr. Full Stack Data Science Engineer
TD
Toronto, ON · Montreal, QC
Full-time
Core Analytical Tools: Proficient in Python, PySpark, SQL, Power BI, and Databricks (or similar platforms) for data preparation, analysis, and collaboration.
Added 1 month ago
Data Engineer
Citi
Mississauga, ON
Full-time
Write, review, and approve clean, modular, and highly performant Scala and Python code, enforcing best practices across the team.
Added 1 month ago
Senior Agentic Engineer - JavaScript
TribalScale
Toronto, ON
Design and build AI-enabled applications, agentic workflows, developer tools, APIs, data pipelines, and full-stack products.
Added 1 month ago
Platform Engineer
Bestpass by Fleetworthy
Edmonton, AB
Full-time
Own and improve Terraform and Terraform Cloud codebases, Ansible playbooks, Azure DevOps and GitLab CI/CD pipelines, and shell/Python automation.
Added 1 month ago
Data Analyst
TBWA\Canada
Toronto, ON
$75,000 to $85,000 CAD / year
Full-time
Fluency with data, analytics, and visualization technologies (we use SQL, Python, Tableau)
Added 1 month ago
Layout & Design Engineer - SNSPDs (Superconducting Nanowire Single Photon Detectors)
Xanadu
Toronto, ON
Full-time
Experience using Python for component design, simulation, layout, and data analysis
Added 1 month ago
Management Consulting Senior Associate, Finance Performance
RSM Canada
Toronto, ON
Full-time
Digital experience and skillsets with enabling tools such as PowerBI, Alteryx, SQL Server, VBA, Python etc.
Added 1 month ago
Enterprise Integration Engineer
State Street
Toronto, ON
Full-time
Develop scripts and automation using JavaScript, PowerShell, Python, or similar technologies where required.
Added 1 month ago
Silicon Validation Engineer
Stathera, Inc.
Vancouver, BC
Full-time
Proficiency in computer programming (Python, C++, or MATLAB are preferred);
Added 1 month ago
Senior Java Developer (with Python, AWS and Terraform)
Luxoft
Toronto, ON
Contract
…systems. A background in capital markets and proficiency in Python are considered…
Added 1 month ago
Senior Backend Python Developer
Apexon
Toronto, ON
Full-time
We're Hiring | Senior Backend Python Developer
Added 1 month ago
R&D Imaging Specialist
Fleetworthy
Edmonton, AB
Proficient in programming languages, such as C, C++, C# and python.
Added 1 month ago
Lead Data and AI Engineer
Sanofi
Toronto, ON
Full-time
Advanced SQL and data modeling skills, with working knowledge of Python and scripting languages; Scala or Java is a plus
Added 1 month ago
Sr. Software Development Engineer in Test (Agentic)
Dialpad
Vancouver, BC
Strong programming skills in Python (preferred), Java, or JavaScript.
Added 1 month ago
Full Stack Development (Remote - Canada)
Float
Remote, Canada
Full-time · Remote
Bonus: experience with Python/Django, TypeScript/React, AWS, or fintech products.

Bestpass by Fleetworthy

Platform Engineer

Edmonton, AB, Canada

Job type: Full-time
Experience: 5+ years of experience in platform engineering, site reliability, DevOps, or infrastructure roles working with similar technologies at production scale.
Posting language: English
Posted: Aug 17, 2026

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Original job description

Fleetworthy offers the only complete technology suite for fleet readiness, uniting safety and compliance, toll management, and weigh station bypass solutions. We help fleets streamline operations, control costs, and operate with confidence.

Trusted by 75% of the top fleets in North America, Fleetworthy offers the most adopted toll management solution and largest weigh station bypass network. Going beyond regulatory requirements, our safety and compliance capabilities strengthen safety programs and enable proactive audit readiness. We support millions of vehicles and drivers and are recognized across the industry for innovation and leadership.

Fleetworthy is shaping the future of fleet readiness with AI-enabled, connected fleet technology that keeps drivers safe, fleets compliant, and operations running at peak efficiency. Learn more at fleetworthy.com.

About The Role

Fleetworthy Inc. is hiring a Platform Engineer to own and evolve the systems that connect our cloud platform to the physical world. You'll work across AWS and Kubernetes environments, distributed Linux edge hardware, and the observability stack that ties it all together - building the reliability, automation, and operational visibility that lets the rest of engineering move fast with confidence.

This role sits at the intersection of platform engineering, site reliability, and field operations. You'll be a key partner to development, data, and operations teams - and the person others reach for when something breaks in a complicated place. You'll treat the platform as a product, with internal engineering teams as your users, and you'll have meaningful ownership over how Fleetworthy ships and runs software.

What Your Ride Will Look Like

Cloud & Platform Reliability

Own and evolve our AWS infrastructure - EKS, EC2, ALB/ELB, ACM, IAM, ECR, and Auto Scaling Groups - with a focus on uptime, cost efficiency, and deployment safety.
Maintain Kubernetes platform health: deployments, ingress, HPA, secrets, Helm releases, and production incident response - you can trace a broken request through a public ALB, reverse proxy, internal ALB, and K8s ingress without breaking a sweat.
Partner with development teams to improve deployment pipelines, reduce manual steps, and raise the reliability bar across all environments.

Observability & Operational Visibility

Build and maintain dashboards, alerts, and telemetry pipelines using Grafana, Prometheus/Mimir, Loki, Grafana Alloy, Tempo, OpenTelemetry, Datadog, and CloudWatch.
Create actionable metrics, log views, and traces that help engineering and operations teams see what's happening - not just that something went wrong.
Write PromQL, LogQL, SQL, and CloudWatch queries that surface real signal, not noise - and build alert quality into the culture, not just the config.

Edge & Field Infrastructure

Support distributed Linux-based hardware deployed in the field - physical servers, embedded devices, vendor integrations, and the data forwarding services that connect them to the cloud.
Troubleshoot connectivity, routing, ARP, DNS, firewall rules, VPN behavior, and TCP socket data flows in remote environments where recoverability matters as much as uptime.
Develop and maintain runbooks, automation, and configuration management practices that make field operations repeatable and resilient.

Automation & Infrastructure as Code

Own and improve Terraform and Terraform Cloud codebases, Ansible playbooks, Azure DevOps and GitLab CI/CD pipelines, and shell/Python automation.
Treat configuration drift, manual toil, and undocumented procedures as technical debt - and systematically pay it down.
Harden and document Linux systems across cloud and edge environments, with an eye toward consistency and safe repeatability.

Developer Experience & Golden Paths

Treat the platform as a product: build opinionated, well-supported workflows that help product teams provision services, ship code, and operate them in production without needing deep infra expertise.
Gather feedback from engineering teams, prioritize based on impact, and measure adoption and satisfaction of platform capabilities.
Partner with security to bake guardrails into the platform - secrets management, policy-as-code, supply chain security, and least-privilege defaults.

What We're Looking For

5+ years of experience in platform engineering, site reliability, DevOps, or infrastructure roles working with similar technologies at production scale.
Strong Linux fundamentals across Ubuntu and Debian environments - you're comfortable with systemd, nmcli, networking, package management, and embedded or edge hardware.
Proven Kubernetes experience - you can troubleshoot a broken pod, inspect events, tune resource scheduling, and trace a request end-to-end through a layered routing stack.
Hands-on Terraform, Ansible, and CI/CD experience - you write infrastructure as code and treat deployment reliability as a feature.
Observability fluency - PromQL, LogQL, Databricks SQL, and CloudWatch queries aren't intimidating, and you build dashboards that are actually useful to the people reading them.
Solid networking foundation - DNS, TLS, TCP, ARP, firewalls, VPN behavior, and load balancer behavior in both cloud and physical environments.
Pragmatic and calm under pressure - you work effectively with legacy systems, vendor constraints, and incomplete documentation while steadily moving things forward.
Strong communicator - you write clear runbooks, explain complex systems to non-infrastructure teammates, and leave environments better documented than you found them.

Tech Stack

Cloud & Orchestration: AWS EKS, EC2, ALB, ACM, IAM, ECR, Auto Scaling, Kubernetes, Helm
Observability: Grafana, Prometheus/Mimir, Loki, Alloy, Tempo, OpenTelemetry, Datadog, CloudWatch
IaC & Automation: Terraform, Terraform Cloud, Ansible, Bash, PowerShell, Python
CI/CD & Source Control: Azure DevOps Pipelines, GitHub, GitLab
Linux & Edge: Ubuntu, Debian/Raspberry Pi OS, systemd, nmcli, field networking, vendor integrations
Nice to have: Windows Server, SQL Server, SSRS, Datadog DBM, .NET worker services, Temporal

Fleetworthy is committed to fostering a diverse and inclusive culture that is respectful and welcoming of individual differences. We are proud to be an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, nationality, national or ethnic origin, civil status, age, citizenship status, sexual orientation, disability, genetic information, familial status, marital or registered civil partnership status, pregnancy or maternity status, gender identity, gender reassignment, military or veteran status, or any other protected characteristic in accordance with applicable laws and regulations.

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More about this job

Responsibilities

Own and evolve the AWS and Kubernetes infrastructure while managing distributed Linux edge hardware and observability stacks. Partner with engineering teams to improve deployment pipelines and build reliable, automated workflows for shipping software.

Requirements

Requires 5+ years of experience in platform engineering or SRE with strong Linux fundamentals and proven Kubernetes expertise. Must be proficient in Terraform, Ansible, and observability tools like Prometheus and Grafana.

Skills

AWS
Kubernetes
Terraform
Ansible
Linux
Grafana
Prometheus
CI/CD
Networking
Python
OpenTelemetry
Helm
Bash
Site Reliability Engineering
Infrastructure as Code
Observability

Visa sponsorship

Not detected in the job text

Keywords

AWS
EKS
EC2
Kubernetes
Helm
Terraform
Ansible
Grafana
Prometheus
Mimir
Loki
Alloy
Tempo
OpenTelemetry
Datadog
CloudWatch
Azure DevOps
GitLab
Ubuntu
Debian
Linux
Python
Bash
PowerShell
TCP/IP
DNS
VPN
SRE
Platform Engineering
Edge Computing

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