Find work in Canada.

317,591 jobs across our Canadian network. How we count

Jobs in Canada

Email me new jobs Save this search

Added 1 month ago
D
AI Research Engineer
Deloitte
Toronto, ON
- Full-time
Contribute to the design of scalable MLOps/DevOps pipelines for model deployment, monitoring, and continuous training.
Added 1 month ago
CP
Senior Cyber Security Engineer
CAAT Pension Plan
Toronto, ON
- Full-time
…hardcoded credentials; and enforce zero‑trust principles across DevOps…
Added 1 month ago
BS
Platform Engineer
Bay Street Staffing
Toronto, ON · Greater Toronto Area, Canada
- Contract
Design and improve CI/CD pipelines and DevOps automation.
Added 1 month ago
Sr. Systems Engineer, Ruckus
Belden Inc
Cobourg, ON
…Azure, AWS), secure device/user onboarding solutions, etc. DevOps/REST or other common API programming knowledge a…
Added 1 month ago
EG
AI - Full Stack Engineer
Emterra Group
Remote, Canada
- $110,000 to $120,000 CAD / year
- Full-time
- Remote
Solid understanding of DevOps practices and Azure DevOps or GitHub Actions
Added 1 month ago
D
Senior Technical Account Manager
Docker
Remote, Canada
- Full-time
- Remote
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's…
Added 1 month ago
P
Senior Solutions Consultant
PagerDuty
Toronto, ON
- Full-time
…to succeed with Digital Transformation, Cloud Migration, and DevOps Modernization. Notable customers include GE, Cisco, Genentech, Electronic Arts, Cox Automotive, Netflix, Shopify, Zoom,…
Added 21 days ago
PC
Salesforce Technical Manager
Pwc Canada
Toronto, ON · Vancouver, BC
- Full-time
CI/CD pipelines and DevOps processes using Salesforce CLI, Git, and deployment automation tools (e.g., Copado, Gearset)
Added 24 days ago
Transformation Engineer - Software Development, AI & Quality Engineering
Fitch Group
Toronto, ON
…platforms and applications. The ideal candidate is a strong developer who can apply AI, automation and engineering best practices to accelerate delivery, improve platform reliability,…
Added 1 month ago
WT
Senior Python Engineer – Kafka & Unix
Wissen Technology
Montreal, QC
- Full-time
We are looking for an experienced Python Developer with strong hands-on expertise in Python, Apache Kafka, and Unix/Linux environments. The ideal candidate will develop and maintain…
Added 1 month ago
FG
Software Engineer, Full-Stack Applications Associate Director (Ratings Technology)
Fitch Group, Inc.
Toronto, ON
- Full-time
Modern engineering practices and DevOps prowess – Deep experience with Docker, Kubernetes/EKS, GitHub, sophisticated CI/CD pipelines, and hands-on cloud expertise (AWS/Azure) with…
Added 1 month ago
M
Intermediate Full Stack Developer, Innovation Development
MNP
AB
- Full-time
Make an impact with our Technology - Development team as an Intermediate Full Stack Developer, Innovation Development. This diverse team of tech-savvy builders and problem solvers embraces…
Added 1 month ago
CP
Senior Cyber Security Engineer
CAAT Pension Plan
Toronto, ON · Head Office
- Full-time
…hardcoded credentials; and enforce zero‑trust principles across DevOps…
Added 23 days ago
Staff Engineer (Platform)
Later
Vancouver, BC
Continuously improve system performance, scalability, and developer experience.
Added 1 month ago
N
Staff DevOps Engineer
Nexxa.AI
Remote, Canada
- Full-time
- Remote
We're looking for a Senior/Staff DevOps Engineer who has spent the last several years building and operating the infrastructure that lets AI and industrial systems run reliably at scale.…
Added 1 month ago
RB
Lead AI Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
…actively contributes to improving our Agile, Engineering, and DevOps…
Added 23 days ago
R
Lead AI Engineer
RBC
Toronto, ON
- Full-time
…actively contributes to improving our Agile, Engineering, and DevOps…
Added 23 days ago
Senior Engineer (Platform)
Later
Vancouver, BC
Strong knowledge of DevOps practices (Git, CI/CD, Infrastructure as Code).
Added 1 month ago
Intermediate AI Engineer
Price Industries Limited
Winnipeg, MB
DevOps & Deployment: Docker, Azure DevOps, Git, CI/CD, MLOps
Added 4 months ago
AM
Lead Diagnostics Software Engineer, ATE Integration
Advanced Micro Devices, Inc
Markham, ON
- Full-time
Experience with working in DevOps environment like GitHub, CI/CD pipelines
Added 3 months ago
K
Senior Manager - Senior Tech Lead – AI & Technology Transformation
KPMG
Montreal, QC
- Full-time
Experience with Agile and DevOps delivery models, including sprint planning, backlog management, solution reviews, client demos, dependency management, and continuous improvement practices.
Added 1 month ago
S
AI Engineer
Sanofi
Toronto, ON
- Full-time
Added 1 month ago
Senior Solutions Consultant
PagerDuty
Toronto, ON
Break down complex technical concepts and clearly articulate PagerDuty's business value to stakeholders from DevOps engineers up to C-level executives
Added 1 month ago
K
Senior Fullstack AI Platform Engineer
Kindsight
Canada
- Full-time
Added 1 month ago
RB
AI-First Quality Engineering Lead
Royal Bank of Canada
Toronto, ON
- Full-time
As AI-First Quality Engineer Lead in QEX & DevOps, you will be a driving force in fundamentally reimagining how RBC builds and delivers software - where AI is not a feature of the QE…

Nexxa.AI

Staff DevOps Engineer

Remote, Canada

Remote

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Workplace: Remote
Experience: 6+ years of experience in DevOps, Site Reliability Engineering, Platform Engineering, or infrastructure-focused software engineering roles
Posting language: English
Posted: Aug 27, 2026

Original job description

Nexxa is building the best AI systems for heavy industries - enabling machines, systems, and operations to think, decide, and act autonomously across manufacturing, large-scale infrastructure, logistics, and legacy environments.

Our mission is to translate deep technical breakthroughs into operational reality, solving some of the hardest systems-level problems in industry.

About the Role

We're looking for a Senior/Staff DevOps Engineer who has spent the last several years building and operating the infrastructure that lets AI and industrial systems run reliably at scale. You understand what it takes to keep production ML and data workloads fast, observable, and resilient - from GPU-backed training and inference clusters to the pipelines that connect them to real-world industrial environments.

This role is ideal for candidates who want deep infrastructure ownership at a company where uptime, latency, and reliability directly affect physical operations - not just software. You'll partner closely with AI, data, and product engineering teams to make sure the systems they build can actually run in production, safely and at scale.

What You'll Do

Own and evolve Nexxa's core infrastructure - compute, networking, storage, and deployment systems - end-to-end
Design and operate CI/CD pipelines that support fast, safe iteration across AI, data, and product engineering teams
Build and maintain infrastructure-as-code (e.g., Terraform, Pulumi) for reproducible, auditable environments across cloud and on-prem/edge deployments
Architect and manage Kubernetes-based platforms for training, inference, and application workloads, including GPU scheduling and autoscaling
Partner with data and AI teams to support the infrastructure behind:
- Data warehouses and lakehouse architectures (e.g., Snowflake, BigQuery, Redshift, Databricks)
- Feature stores, embedding indices, and retrieval pipelines
- Model training, evaluation, and serving infrastructure
Define and drive observability practices - metrics, logging, tracing, and alerting - across distributed systems
Establish and enforce reliability practices: SLOs/SLIs, incident response, postmortems, and on-call rotations
Design for security and compliance across cloud infrastructure, secrets management, and access control, particularly relevant to industrial and legacy-environment integrations
Make pragmatic tradeoffs across cost, latency, reliability, and developer velocity
Collaborate with engineering leadership to define infrastructure roadmap and platform strategy
Mentor engineers on infrastructure best practices and raise the bar for operational excellence across the org

Required Qualifications

6+ years of experience in DevOps, Site Reliability Engineering, Platform Engineering, or infrastructure-focused software engineering roles
Deep hands-on experience with:
- Cloud platforms (AWS, GCP, or Azure) at production scale
- Kubernetes in production, including GPU workload scheduling
- Infrastructure-as-code tooling (Terraform, Pulumi, or equivalent)
- CI/CD systems (e.g., GitHub Actions, GitLab CI, CircleCI, Jenkins, ArgoCD)
Strong track record designing and operating observability stacks (e.g., Prometheus, Grafana, Datadog, OpenTelemetry)
Experience supporting ML/AI infrastructure - training clusters, model serving, data pipelines - a strong plus
Excellent scripting/programming skills (Python, Go, or Bash) for automation and tooling
Proven ability to independently scope and lead infrastructure projects from design through production rollout
Strong incident management instincts - you can lead through an outage calmly and drive toward root cause

Preferred Qualifications

Experience operating infrastructure that bridges cloud and edge/on-prem environments, especially in industrial or manufacturing contexts
Familiarity with data warehouse/lakehouse platforms (Snowflake, BigQuery, Redshift, Databricks)
Experience with service mesh, zero-trust networking, or compliance frameworks relevant to industrial/critical infrastructure (e.g., SOC 2, IEC 62443)
History of building internal developer platforms or self-service infrastructure tooling
Experience scaling infrastructure teams or setting technical direction at a Staff level

What Success Looks Like

You can own ambiguous, high-stakes infrastructure problems end-to-end
Systems you build stay reliable as usage and scale grow - you design for the next order of magnitude, not just today
You bring strong technical judgment on tradeoffs between reliability, cost, and speed
You raise the bar for operational rigor and engineering discipline across the team
You help define what's next for the platform, not just execute what's known

Why Join Nexxa.ai?

Innovative Environment: Play a critical role in transforming heavy industries through groundbreaking AI and automation technologies
Collaborative Culture: Be part of a team that values innovation, discipline, and continuous improvement
Professional Growth: Benefit from significant opportunities for career development and advancement
Competitive Compensation: Enjoy a comprehensive salary and equity package reflective of your expertise and contributions

If you're passionate about building the infrastructure that powers advanced AI solutions in the real world, we'd love to connect.

Apply About employer

More about this job

Responsibilities

You will own and evolve core infrastructure, including compute, networking, and deployment systems to support AI and industrial workloads. Additionally, you will partner with engineering teams to define observability practices, reliability standards, and infrastructure roadmaps.

Requirements

Candidates must have 6+ years of experience in DevOps, SRE, or platform engineering with deep expertise in cloud platforms and Kubernetes. Strong proficiency in infrastructure-as-code, CI/CD pipelines, and scripting languages like Python or Go is essential.

Skills

DevOps
Site Reliability Engineering
Kubernetes
Terraform
Pulumi
AWS
GCP
Azure
Python
Go
Bash
CI/CD
Observability
Prometheus
Grafana
Datadog

Benefits

Competitive compensation
Equity package
Professional growth opportunities

Remote locations

Toronto, Canada

Remote locations (standardized)

Toronto, Ontario, Canada

Visa sponsorship

Not detected in the job text

Keywords

DevOps
Site Reliability Engineering
Platform Engineering
Kubernetes
Terraform
Pulumi
AWS
GCP
Azure
Python
Go
Bash
CI/CD
Observability
Prometheus
Grafana
Datadog
OpenTelemetry
Snowflake
BigQuery
Redshift
Databricks
GPU
Infrastructure-as-code
Automation
Cloud
Edge Computing
Industrial AI
Reliability
Scalability

Report this job