Jobs in Canada

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Added 2 months ago
TT
Director of Software Product Management, MVC
Teledyne Technologies Incorporated
Richmond, BC · Montreal, QC · Canada - Richmond, BC
- Full-time
…water quality environmental monitoring, electronics design and development, oceanographic research, deepwater oil and gas exploration and production, medical imaging and pharmaceutical…
Added 3 months ago
E
Senior/Staff/Principal Product Manager, AI Orchestration & Agentic Workflows
EvenUp
Toronto, ON
- $177,650 to $273,370 CAD / year
- Full-time
This is a hybrid role based out of our San Francisco or Toronto offices, with an expectation of at least 3 days per week in office
Added 2 months ago
R
Senior Principal Software Engineer, Feature Store
Redis
Remote, Canada
- Full-time
- Remote
We’re looking for a Senior Principal Software Engineer to own and drive our feature store product. This is a unique opportunity to shape the technical direction of a product that serves…
Added 2 months ago
TA
Knowledge Graph Analyst
Tiger Analytics Inc.
Toronto, ON
- Full-time
Location & Presence: Must be based in Toronto (or in Canada with full commitment to work on-site in Toronto full-time for the first 3 months minimum)
Added 2 months ago
Principal Data and Applied Scientist
SAP
Montreal, QC
Strong Python and SQL skills with production-grade development practices; experience with ML libraries such as PyTorch, TensorFlow, or scikit-learn.
Added 2 months ago
PN
Senior Full-Stack Developer
Projekt Network
Remote, Canada
- $110,000 to $140,000 CAD / year
- Full-time
- Remote
Eligibility: Must have existing legal authorization to work in Canada
Added 2 months ago
HC
Co-op Engineer - Machine Learning and AI Infrastructure
Huawei Canada
Markham, ON
- Full-time
Familiarity with LLMs, AI agents, or ML evaluation workflows. Experience with frontend development such as React or TypeScript. Open-source contributions, internships, or substantial…
Added 2 months ago
N
Staff DevOps Engineer
Nexxa.AI
Remote, Canada
- Full-time
- Remote
…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…
Added 2 months ago
N
QA Engineer (AI Systems)
Nexxa.AI
Remote, Canada
- Full-time
- Remote
Professional Growth: Benefit from significant opportunities for career development and advancement.
Added 2 months ago
N
Backend AI Engineer
Nexxa.AI
Remote, Canada
- Full-time
- Remote
This role is a blend of backend software engineering, ML infrastructure, and systems architecture. You'll design distributed systems, integrate and serve models in production, and build the…
Added 2 months ago
H(
AI Enablement Business Partner
HOOPP (Healthcare of Ontario Pension Plan)
Toronto, ON · CA ON Toronto
- $103,000 to $153,000 CAD / year
- Full-time
learning and development initiatives, including workshops, Speaker Series events and access to LinkedIn Learning, that support employees’ career growth
Added 2 months ago
RB
Senior AI Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
We are seeking an accomplished Senior AI Engineer to contribute to the design, development, and implementation of AI-driven solutions within our software development lifecycle. This role…
Added 3 months ago
L
Software Engineer
Larus
Ottawa, ON
- Full-time
Location: Ottawa Office (3 days per week / hybrid), 170 Laurier Ave West, Suite 310, Ottawa, ON K1P 5V5 Ottawa-based Home Office (2 days per week)
Added 2 months ago
R
Senior AI Engineer
RBC
Toronto, ON
- Full-time
We are seeking an accomplished Senior AI Engineer to contribute to the design, development, and implementation of AI-driven solutions within our software development lifecycle. This role…
Added 2 months ago
L
Senior Full-stack Engineer
Limbic
Remote, Canada
- Full-time
- Remote
Added 2 months ago
I
Staff Software Developer - Backend Engineering
Intuit
Toronto, ON
- Full-time
Come join the API Management Platform Team as a Staff Software Developer.
Added 2 months ago
O
Wireless Communications Systems Developer (SDR / Protocols / Embedded)
Octasic
Montreal, QC
- Full-time
We are looking for a Wireless Communications Systems Developer to join our software-defined radio team. The ideal candidate has strong experience in embedded software development, debugging…
Added 2 months ago
A(
Machine Learning Resident – Client: OpenCycle (12 month term)
Amii (Alberta Machine Intelligence Institute)
Edmonton, AB
- Full-time
…project team with backgrounds in ML research, project management, software engineering, and new product development. This is a rare opportunity to be mentored by world-class scientists and…
Added 2 months ago
I
Staff Software Developer - Backend Engineering
Intuit
Toronto, ON
- Full-time
Come join the API Management Platform Team as a Staff Software Developer.
Added 2 months ago
Staff Engineer (Product)
Later
Vancouver, BC
8–15 years of professional experience in software development, with a track record of shipping large-scale, high-quality features and systems and driving architectural decisions at the org…
Added 2 months ago
Senior Engineer (Platform)
Later
Vancouver, BC
…culture of technical excellence. With deep expertise in modern software development and Agile practices, you’ll shape how we build, scale, and innovate - directly influencing product…
Added 2 months ago
Intermediate AI Engineer
Price Industries Limited
Winnipeg, MB
Personal and Professional Development - We are committed to helping you reach your potential through training and education.
Added 2 months ago
VC
AI Engineer
Valsoft Corporation
Remote, Canada
- Full-time
- Remote
3–5+ years of enterprise software development experience with strong full-stack web fundamentals
Added 2 months ago
C
Senior Software Engineer, AI
Calabrio
Remote, Canada
- Remote
Calabrio-Verint is looking for a highly skilled and experienced Senior Software Engineer, AI to perform a key role in our digital transformation program, and deliver exceptional customer…
Added 2 months ago
AI
Technical Product Manager
ATS Industrial Automation
Cambridge, ON
- Full-time
…engineering stakeholders, the Digital Innovation team, and software development partners, this role translates business and engineering needs into clear technical requirements, prioritizes…

Nexxa.AI

Staff DevOps Engineer

Remote, Canada

Remote

Full-time

Apply on jobs.ashbyhq.com About employer

Applications open in a new tab.

Job details

Job type: Full-time
Workplace: Remote
Remote eligibility: Canada listed. Check the posting for province restrictions.
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 on jobs.ashbyhq.com 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

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Work requirements

Jobs in Canada