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Added 15 mins ago
Staff Software Engineer (Architecture)
Lantern
Vancouver, BC
Full-time
Lantern is seeking a Staff Software Engineer to join our expanding Architecture team. This is a strategic and highly visible role focused on driving architectural consistency, elevating…
Added 15 mins ago
Senior AI Engineer
Charger Logistics Inc.
Brampton, ON
Full-time
We are looking for a highly motivated AI Engineer to join our team based out of our Brampton office and contribute to the development of AI-driven solutions for various departments. This…
Added 31 mins ago
Staff Software Engineer (Architecture)
Lantern
Vancouver, BC
Lantern is seeking a Staff Software Engineer to join our expanding Architecture team. This is a strategic and highly visible role focused on driving architectural consistency, elevating…
Added 1 hour ago
Cloud Engineer
Morson Edge (Canada)
Oakville, ON
$95,000 to $135,000 CAD / year
Full-time
Morson Edge is seeking an experienced Cloud Engineer to join a growing infrastructure team. This role is ideal for a cloud professional with strong Microsoft Azure expertise who is…
Added 3 hours ago
Senior DevOps Engineer
Boeing
Richmond, BC · Vancouver, BC · CAN - Richmond, Canada
Full-time
The ideal senior DevOps engineer is a cloud‑native platform expert with deep Azure Functions, CI/CD, IaC, and observability skills, plus strong leadership and cross‑team collaboration…
Added 3 hours ago
[New Grad] Applied AI Engineer
Ranger AI
Canada
Full-time
Ranger AI transforms how teams in energy, manufacturing, contracting, and pharma manage commercial operations through an AI-powered proposal management platform.
Added 5 hours ago
Senior Database Engineer (Snowflake)
Cvent
Fredericton, NB
Full-time
…Cvent delivers a comprehensive event marketing and management platform for marketers and event professionals and offers software solutions to hotels, special event venues and destinations…
Added 10 hours ago
Staff AI Engineer (Global Security)
Royal Bank of Canada
Toronto, ON
Full-time
…build CI/CD workflows with GitHub Actions; manage MCP server infrastructure with proper authentication, security, and…
Added 13 hours ago
Technical Consultant (Data & AI)
Fastloop
Vancouver, BC
Full-time
You aren’t just a “Data Engineer” or a “Software Engineer”; you are the “connective tissue” of modern intelligence. You will be responsible for the programmatic development of Agentic…
Added 21 hours ago
Staff AI Engineer (Global Security)
RBC
Toronto, ON
Full-time
…build CI/CD workflows with GitHub Actions; manage MCP server infrastructure with proper authentication, security, and…
Added 22 hours ago
Cloud Engineer
VySystems
Canada
Full-time
Provision HPC infrastructure through CI/CD system across AWS, CoreWeave, GCP, and OCI, with additional providers to be expanded in the near future.
Added 22 hours ago
Data Science Lead
Alberta Innovates
AB · Edmonton, AB
Full-time
Work with Infrastructure and Platform teams to provision and right-size the compute required, rather than owning the GPU environment.
Added 23 hours ago
Director, AI Delivery & Portfolio Management – Global Payments Technology
Royal Bank of Canada
Toronto, ON
Full-time
…across diverse technical teams (data scientists, ML engineers, platform engineers, payments domain experts, infrastructure teams, and business…
Added 23 hours ago
Principal Data Engineer
Xplore Inc
Markham, ON
Full-time
Lead engineering best practices: CI/CD, infrastructure as code, cost governance, performance tuning, and FinOps reporting (tracking and optimizing cloud/data platform spend).
Added 1 day ago
Senior / Staff ML Ops Engineer
Waabi
Toronto, ON
$184,000 to $272,000 USD / year
Full-time
Build and evolve our training infrastructure on Kubernetes with Infrastructure - GPU scheduling, autoscaling, multi-node distributed jobs, capacity strategy, and the operators and workflow…
Added 1 day ago
CTO | VC-backed AI | Relocate to Barcelona | €120–150k + equity
Ink
Toronto, ON
Full-time
…incubation lab and architecture and delivery for a global telemetry…
Added 1 day ago
Technical Architect- AI
Mphasis
Toronto, ON
Full-time
…of enterprise-scale Generative AI solutions on Google Cloud Platform (GCP). The ideal candidate will possess deep expertise in Retrieval-Augmented Generation (RAG), Large Language Models…
Added 1 day ago
Applied AI Engineer
Ranger AI
Canada
Full-time
Ranger AI transforms how teams in energy, manufacturing, contracting, and pharma manage commercial operations through an AI-powered proposal management platform.
Added 1 day ago
Data Science Lead
Alberta Innovates / InnoTech Alberta
Edmonton, AB
Work with Infrastructure and Platform teams to provision and right-size the compute required, rather than owning the GPU environment.
Added 1 day ago
Director, AI Delivery & Portfolio Management – Global Payments Technology
RBC
Toronto, ON
Full-time
…across diverse technical teams (data scientists, ML engineers, platform engineers, payments domain experts, infrastructure teams, and business…
Added 1 day ago
Software Engineering Developer, DevOps
General Dynamics Missions System International
Calgary, AB · Ottawa, Ontario
$85,000 to $110,000 CAD / year
Full-time
We are seeking a skilled DevOps Engineer to join our team and enhance our development and operational efficiency. This role is ideal for someone who thrives in a cloud-agnostic environment…
Added 1 day ago
Senior Machine Learning Developer
Jobgether
Canada
Full-time
Contribute to ML platform capabilities including model serving, LLM infrastructure, and production monitoring.
Added 1 day ago
Software Engineering Developer, DevOps
General Dynamics Mission Systems–Canada
Calgary, AB
$85,000 to $110,000 CAD / year
Full-time
We are seeking a skilled DevOps Engineer to join our team and enhance our development and operational efficiency. This role is ideal for someone who thrives in a cloud-agnostic environment…
Added 1 day ago
Lead, AI/Machine Learning Engineer
Urban Ridge Supplies
Toronto, ON
Full-time
The Lead, AI/Machine Learning Engineer will join the AI Delivery and Innovation team within the Platform Engineering, AI and Advanced Analytics department. This team acts as a central hub…
Added 1 day ago
AI Engineer
Urban Ridge Supplies
Guelph, ON
Full-time
The AI Engineer plays a hands-on role in active AI Solutions Factory use cases by implementing AI-based solutions, integrating enterprise data sources, and supporting solution reliability…

Boeing

Senior DevOps Engineer

Richmond, BC, Canada
Vancouver, BC, Canada
CAN - Richmond, Canada, Canada

Pay: Salary pay range - $110,000.00 – $195,000.00 CAD
Job type: Full-time
Apply by: Oct 10, 2026
Posting language: English
Posted: Sep 25, 2026

Apply About employer

Applications open in a new tab.

Original job description

Senior DevOps Engineer

Company:

Boeing Vancouver

Boeing Vancouver is seeking a Senior DevOps Engineer, reporting to the Manager of Defence & Government Services working out of the Richmond, BC office.

The ideal senior DevOps engineer is a cloud‑native platform expert with deep Azure Functions, CI/CD, IaC, and observability skills, plus strong leadership and cross‑team collaboration abilities

The DevOps Engineer will be supporting the Defence & Government Services portfolio and will primarily work in collaboration and under the functional direction of our Solutions Architect. The role will exercise systems and data expertise, with a particular emphasis on on-prem infrastructure and application design, deployment and support for CI/CD.

The dynamic and rapidly advancing technologies in the world of deployment require engineers that proactively stay up to date with new technologies and are always refining their craft. The Senior DevOps Engineer will work closely with a team to ensure high availability and redundancy of all systems. The role requires a strong blend of technical expertise, leadership skills, and operational experience.

Position Responsibilities:

CI/CD Automation – Expert in building and optimizing pipelines in Git Lab CI, with end‑to‑end automation for build, test, deploy, and rollback.
Infrastructure as Code (IaC) – Strong hands‑on with Terraform or similar to provision and manage Azure resources consistently.
Container & Kubernetes – Experience deploying and managing containerized workloads (AKS, Docker) alongside serverless functions.
Observability & Reliability – Implements monitoring, logging, alerting, and performance tuning; supports incident response and root cause analysis.
Security & Governance – Integrates security controls into pipelines, enforces Azure Policy, RBAC, and secrets management.
Cross‑functional collaboration – Works closely with developers, architects, security, and product teams to deliver scalable, secure solutions.
Mentorship & Technical Guidance – Leads technical direction, mentors junior/mid‑level engineers, and shares best practices.
Problem‑solving – Resolves complex infrastructure, deployment, and reliability issues across distributed systems.
Maintains Compliance.
Implements security-by-design, cloud migration planning, and cost optimization at scale.

Acts as a bridge between technical teams and executives, translating complex tech into business outcomes.
Leads a multidisciplined range of technical systems and application activities.
Leads activities to install, configure and maintain multiplatform systems hardware, software and components.
Leads activities to plan, develop, design, integrate and maintain all computer applications.

Plans and coordinates highly complex software and hardware for enterprise release. Ensures systems conform with architectural objectives.
Evaluates complex system's production readiness and supportability.
Performs the restoration of complex computing service operations.

Participate in incident response and post-mortem analysis to continuously improve system reliability and performance.
Maintain comprehensive documentation of configurations, operations, and troubleshooting procedures.
Ensure all infrastructure components are securely configured and up to date with the latest security patches.

This position is hybrid. This means that the selected candidate will be required to perform some work onsite at Richmond location. This is at the hiring team’s discretion and could potentially change in the future.

Employers will not sponsor applicants for employment visa status.

Basic Qualifications (Required Skills/Experience):

10+ years of experience in DevOps, cloud engineering, or platform engineering, including 3+ years working with Microsoft Azure or another cloud platform.
Proven experience designing, operating, and supporting secure, scalable, and highly available cloud platforms.
Ability to work independently while providing both hands-on technical support and strategic guidance.
5+ years of experience with containerization and orchestration technologies, particularly Kubernetes and OpenShift.
Minimum 5 years of software development experience.
Minimum 2 years of experience in Linux and network administration.
Experience with development, deployment, and version control tools such as Eclipse, Git, Jira, and VersionOne.
Experience working as part of an Agile delivery team.
Experience with continuous integration and continuous delivery tools, such as Argo CD and GitLab CI/CD.
Experience with on-premises deployments and the associated operational challenges.
Must be eligible for authorization under the Canadian Controlled Goods Program.
Must be legally authorized to work in Canada.
Must not pose a risk to the safeguarding of controlled goods.
Must be eligible for Canadian Secret Level II security clearance.
Must be eligible to handle U.S. export-controlled data.

Preferred Qualifications (Education/Experience):

Possesses strong blend of technical expertise, leadership skills, and operational experience.
Experience with AI/ML
Strong knowledge in back-end programming languages (ie. Java, Python, Node.js)
Strong knowledge in front end programming languages (ie. HTML, Angular 2+, Typescript, JavaScript, React)
Experience with infrastructure as code (IaC), preferably using Terraform
Experience with developing and supporting applications in Docker
Experience with container orchestration using Kubernetes, OpenShift or similar
Experience with large and complex databases (preferably Oracle)
Experience with data models and database design
Experience operating in a production environment
Experience with monitoring and logging tools
Understanding of service mesh architectures and related technologies
Familiarity with static code analysis tools, such as Coverity.

Bachelor’s degree in computer science, Engineering, Information Technology, or a related field

Conflict of Interest:

Successful candidates for this job must satisfy the Company’s Conflict of Interest (COI) assessment process.

Additional Information:

This requisition is for a, locally hired position in Canada. The employer is Boeing Canada. Candidates must be legally authorized to work in Canada. Benefits and pay are determined by Canada and are not on Boeing US-based payroll. This is not an expatriate assignment.

Please note that the information shown below is a general guideline only. Pay is based upon candidate experience and qualifications, as well as market and business considerations.

Salary pay range - $110,000.00 – $195,000.00 CAD

This position requires the ability to obtain and maintain a secret security clearance Level II from the Canadian government. Requirements to obtain a secret security clearance can be found at:

http://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/information-eng.html#a1.1

To review the Canadian Controlled Goods and Public Service and Procurement Canada requirements please go to the following government pages below:

https://www.canada.ca/en/public-services-procurement/services/industrial-security.html

https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html

Language Requirements:

Not Applicable

Education:

Not Applicable

Relocation:

Relocation assistance is not a negotiable benefit for this position.

Security Clearance:

This position requires an active or ability to obtain Secret level II security clearance

Visa Sponsorship:

Employer will not sponsor applicants for employment visa status.

Contingent Upon Award Program

The position is contingent upon program award

Shift:

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More about this job

Responsibilities

The Senior DevOps Engineer will lead the design, deployment, and maintenance of cloud-native platforms and on-premises infrastructure. They will collaborate with cross-functional teams to ensure system reliability, security, and scalability through CI/CD automation and observability.

Requirements

Candidates must have over 10 years of experience in DevOps or cloud engineering, including significant expertise with Microsoft Azure and containerization. Applicants must also be eligible for Canadian Secret Level II security clearance and authorization under the Canadian Controlled Goods Program.

Skills

Azure
CI/CD
IaC
Terraform
Kubernetes
Docker
GitLab CI
Observability
Linux
Network administration
Agile
Security governance
Cloud migration
Python
Java
TypeScript

Visa sponsorship

Not detected in the job text

Keywords

DevOps
Azure
CI/CD
IaC
Terraform
Kubernetes
Docker
GitLab CI
Observability
Linux
Network Administration
Agile
Security Governance
Cloud Migration
Python
Java
TypeScript
JavaScript
React
Oracle
Argo CD
AKS
Secret Level II Clearance
Controlled Goods Program
Infrastructure Design
System Reliability
Performance Tuning
RBAC
Azure Policy
Service Mesh

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