Jobs in Canada

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Added 1 month ago
S
Expert technique - Conception et développement des lois de commande de vol
SOGECLAIR
Montreal, QC
- Full-time
· Bachelor's or Master's degree in Aerospace Engineering (PhD preferred).
Added 1 month ago
ST
Buyer Junior
Sinclair Technologies
Aurora, ON
- $45,000 to $60,000 CAD / year
- Full-time
…manufacturer of antenna and RF signal conditioning products, systems, and coverage solutions. Sinclair products are used extensively in public safety and private industry communication…
Added 1 month ago
VP, Centralized Operations
Alectra Utilities
Hamilton, ON · Vaughan, ON
Oversee maintenance and capital investment strategies for substations, telecommunications, protection and control systems, and distribution automation infrastructure.
Added 1 month ago
Financial Analyst
KSR
Chatham-Kent, ON · Ridgetown, ON
Founded in 1948, KSR is an industry leader in designing, engineering, and manufacturing driver interface systems of the future for Tier 1 OEMs.
Added 1 month ago
WP
Quality Manager
Wood PLC
Saskatoon, SK
- Full-time
…that we do not employ artificial intelligence or automated systems to screen or select candidates. We are committed to ensuring fairness and inclusivity by relying on the expertise from a…
Added 1 month ago
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Principal Sourcing Lead
VitalBio
Oakville, ON
- Full-time
…and biotech raw materials, partnering closely with hardware engineering, assay development, and supply chain…
Added 1 month ago
TG
Product Development Manager
Triumph Group of Companies
Mississauga, ON
- Full-time
Primarily office-based in Mississauga, with up to one remote day per week possible after onboarding
Added 1 month ago
CO
Traffic Engineer
City of Calgary
Calgary, AB
- $115,464 to $144,330 CAD / year
- Full-time
Coordinate with contractors, project teams, businesses, the public, and internal groups, including Signals Engineering, Transit, Traffic Field Operations, and the Traffic Management Centre,…
Added 1 month ago
GC
Senior Geotechnical Engineer (26030)
GEMTEC Consulting Engineers and Scientists Limited.
Hanwell, NB
- Full-time
…We’re large enough to compete head-to-head with publicly traded engineering giants, but still small enough to maintain the culture and flexibility of a close-knit…
Added 1 month ago
VF
Facility Operator
Vivo for Healthier Generations
Calgary, AB
- Full-time
Conduct maintenance and servicing of arena equipment (including ice surfaces), aquatic systems, facility infrastructure, and outdoor grounds to uphold operational standards.
Added 1 month ago
NF
Data Engineer
Nature Fresh Farms
Leamington, ON
- $75,000 to $100,000 CAD / year
- Full-time
Educational background in Computer Science, Information Systems, Engineering, or a related field preferred.
Added 1 month ago
B
Power Electronics Design Engineer
Brunel
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
Ability to work onsite in St-Laurent, Montreal approximately 3–4 days per week depending on project requirements
Added 1 month ago
GD
Research Developer, Frontier AI Incubation, DeepMind
Google DeepMind
Montreal, QC
- Full-time
2 years of experience in machine learning, algorithm design, data structures, or distributed software systems.
Added 1 month ago
SG
Développeur Javascript / Javascript Developer
Solutions GURUS (GURUS Solutions)
Montreal, QC
- Full-time
Have a Bachelor in Computer Science, Software Engineering, Information Technologies or a relevant combination of studies and experience
Added 1 month ago
SG
Architecte de systèmes/System Architect
Solutions GURUS (GURUS Solutions)
Montreal, QC
- Full-time
Added 1 month ago
RH
Product Manager
Robert Half
Mississauga, ON
- $85,000 to $95,000 CAD / year
- Full-time
Comfortable working approximately four days per week onsite in Mississauga
Added 1 month ago
ME
Lead Systems Engineer
Moment Energy
Surrey, BC
- Full-time
6+ years in systems engineering, systems integration, or multidisciplinary product development
Added 1 month ago
TO
Development Engineer
Town of Whitchurch-Stouffville
Whitchurch-Stouffville, ON
- Full-time
Ability to read and interpret civil engineering drawings, carry out municipal servicing designs, perform stormwater management calculations with knowledge of Best Management Practices and…
Added 1 month ago
M
Business Analyst, Hyper Velocity Engineering
MNP
Ottawa, ON · Toronto, ON · Vancouver, BC
- Full-time
Make an impact with our Digital team as a Business Analyst with a focus on Hyper Velocity Engineering (HVE). The ideal candidate plays a critical role in helping organizations transform…
Added 1 month ago
M
Business Analyst, Hyper Velocity Engineering
MNP
AB · Calgary, AB
- Full-time
Make an impact with our Digital team as a Business Analyst with a focus on Hyper Velocity Engineering (HVE). The ideal candidate plays a critical role in helping organizations transform…
Added 1 month ago
TS
Obsolescence Specialist (remote or hybrid Ottawa)
The Source Staffing
Ottawa, ON · Kanata, Ontario
- Full-time
∙Must possess an active SECRET security clearance
Added 1 month ago
S
Expert technique - Conception et développement des lois de commande de vol
SOGECLAIR
Remote, Canada
- Full-time
- Remote
· Bachelor’s or Master’s degree in Aerospace Engineering (PhD preferred).
Added 1 month ago
C
Instructional System Designer
CAE
Montreal, QC · Halifax, NS
- Full-time
CAE is seeking an experienced Instructional Systems Designer (ISD) to support the Canadian Future Fighter Lead-In Training (FFLIT) program. The successful candidate will work within a team…
Added 1 month ago
B
Senior Greenfield Full Stack Developer (Builder)
Boeing
Vancouver, BC · Richmond, BC · CAN - Richmond, Canada
- Full-time
This role is a hybrid position (2 days per week) and can be worked out of our Richmond, BC office
Added 1 month ago
Staff Scientist (AI for Self-Driving Labs)
University of Toronto
Toronto, ON
Close collaboration with experimental scientists, achieving scientific objectives with AI-driven systems.

Boeing

Senior Greenfield Full Stack Developer (Builder)

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

Salary pay range - $110,000.00 – $197,000.00 CAD · Full-time

Apply on boeing.wd1.myworkdayjobs.com About employer

Applications open in a new tab.

Job details

Pay: Salary pay range - $110,000.00 – $197,000.00 CAD
Job type: Full-time
Posting language: English
Posted: Oct 6, 2026

Original job description

Senior Greenfield Full Stack Developer (Builder)

Company:

Boeing Vancouver

Who We Are

At Boeing Digital Services, we focus on practical innovation that drives tangible results for the aerospace industry. Our team leverages advanced technology and data analytics to develop solutions that enhance operational efficiency and meet the needs of our customers. We are dedicated to creating intuitive, scalable, and secure solutions that empower our customers, partners, and empowered team to succeed. Join us in creating the future of aviation technology, where your contributions will shape impactful solutions for airlines around the globe.

About the Role

We're looking for an Senior Greenfield Full Stack Developer (Builder) who will help support the end-to-end software delivery. This is first and foremost grounded in Software Developers who bring both passion and experience in leveraging the latest AI tools to build cloud-native systems for cutting edge digital aircraft maintenance products.

You will work closely with other Developers (Builders), Product, Design, Tech Leads, Architects, and Data Science to deliver product features and capabilities that keep AI/ML at the center.

This role is a hybrid position (2 days per week) and can be worked out of our Richmond, BC office.

Position Responsibilities:

Technical Execution in Support of Modernization

You'll be modernizing systems that have been running the business for years and building new ones that need to run it for years to come. Day to day that looks like:

Building full-stack, production-grade applications - frontend interfaces, backend services, REST and GraphQL APIs, and the integrations that tie them together in complex enterprise environments.
Writing clean, testable, well-structured code across multiple languages and paradigms - and reviewing others' code with the same standard.
Write tests (unit, integration, system etc) and integrate them across the development process. Ensuring quality from local development to deployment.
Designing and implementing event-driven and microservices architectures that can scale, evolve, and be maintained by teams who didn't build them.
Integrating AI, ML or LLM capabilities directly into client applications - building agentic workflows, RAG pipelines, AI-augmented developer tooling, and intelligent automation that actually works in production.
Setting up and improving CI/CD pipelines, test automation, and delivery infrastructure so teams can ship with confidence.
Mentoring and uplifting the developers around you - pairing, code review, and real-time feedback that makes the whole team better.
Keeping product leadership and architects informed of technical risk, blockers, and changes that affect the engagement.

What We're Looking for You to Bring to the Table:

Software Development Execution to Support Modernization

You've built production applications from scratch and modernized legacy systems - comfortable with both greenfield and brownfield and know when approaches like strangler fig or lift-and-refactor are appropriate.
You're fluent in multiple programming languages and paradigms - clean, testable code in both functional and object-oriented styles, knowing how to pick the right tool for the job, including when to reach for AI-assisted development.
You've delivered full-stack solutions - frontend web apps, backend APIs, cloud-hosted services, and standalone applications - and understand how those pieces fit together end-to-end in complex enterprise environments.
You've worked inside large enterprise environments with disparate/distributed systems and multi-cloud setups - you know how to navigate organizational complexity and deliver in spite of it.
You're comfortable owning your part of the software development lifecycle (SDLC) end-to-end - writing code, reviewing pull requests (PR’s), writing tests, and empathizing with developers on either side of you.
You understand cloud-native architecture - containerization, microservices, event-driven patterns - and are comfortable with source control branching strategies and CI/CD automation.
You've either built or been closely embedded with operations teams - you understand cloud-native platform adoption, whether that's Kubernetes, managed container services, or other orchestration platforms depending on client environment, infrastructure as code, observability, and what it means to build software that can be run in production.

Data, Modeling, and Applied Algorithms

Experience designing and implementing algorithms for complex product or operational problems.
Working knowledge of statistical modeling, machine learning, optimization, forecasting, simulation, or other quantitative methods.
Ability to translate ambiguous business problems into clear modeling approaches, assumptions, inputs, outputs, and success measures.
Experience working with structured and unstructured data, including data cleaning, feature design, validation, and quality checks.
Ability to evaluate model or algorithm performance using appropriate metrics, test data, error analysis, and production feedback.
Experience turning data analysis into product or engineering decisions.
Familiarity with data pipelines, analytical workflows, experimentation, and monitoring for model or algorithm behavior in production.

AI and Intelligent Systems

You've built or integrated AI capabilities into real applications - you know what it takes to get an AI-powered or ML/LLM feature into production and keep it working.
You use AI coding tools like Claude, Cursor, or Windsurf as a natural part of how you work - as a way to move faster and produce higher quality output every day.

Basic Qualifications (Required Skills/Experience):

5+ years of professional software development / engineering experience delivering production software in enterprise, cloud, or product development environments.
5+ years proven full-stack development experience building and shipping applications that include frontend user interfaces, backend services, APIs, and system integrations.
5+ years of hands-on experience writing clean, testable, production-quality code and participating in the full SDLC, including code review, debugging, testing, and deployment support.
3+ years of experience integrating AI, ML, or LLM capabilities into software applications, including working with model APIs, prompt orchestration, retrieval-augmented generation, or intelligent automation workflows.
3+ years of experience building or integrating AI/ML/LLM-powered product features in production, with awareness of lifecycle management, evaluation, monitoring, and operational risks.
5+ years of experience with modern software delivery practices, including source control, branching strategies, automated testing, CI/CD pipelines, and release management.
5+ years of experience working in complex enterprise or cloud environments, including distributed systems, multiple teams, shared platforms, or integration-heavy architectures.
Demonstrated ability to collaborate effectively in a cross-functional team, partnering with Product, Design, Engineering, Data Science, Architecture, or Operations to deliver business outcomes.
Must be legally able to work in Canada.
Individuals must not pose a risk for safeguarding of controlled goods.
Must be eligible to handle US export-controlled data.

Preferred Qualifications:

Experience with cloud-native architecture and delivery tooling, such as containerization, Kubernetes or managed container services, infrastructure as code, and observability platforms.
Experience modernizing legacy systems or working in brownfield environments, including approaches such as strangler fig, lift-and-refactor, or incremental modernization.
Experience working in complex enterprise environments with distributed systems, legacy modernization, multi-team dependencies, and integrated data or application ecosystems.
Experience designing or contributing to event-driven or microservices-based systems that are scalable, maintainable, and production-ready.
Experience working with structured and unstructured data, including data cleaning, feature design, validation, quality checks, or analytical workflows.
Experience in aerospace, industrial, manufacturing, transportation, or similarly complex regulated environments where reliability, integration, and operational support matter.
Bachelor’s degree in Computer Science, Software Engineering, Electrical Engineering or Information Systems.

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 – $197,000.00 CAD

Language Requirements:

Not Applicable

Education:

Not Applicable

Relocation:

Relocation assistance is not a negotiable benefit for this position.

Security Clearance:

This position does not require a Security Clearance.

Visa Sponsorship:

Employer will not sponsor applicants for employment visa status.

Contingent Upon Award Program

This position is not contingent upon program award

Shift:

Apply on boeing.wd1.myworkdayjobs.com About employer

More about this job

Responsibilities

The developer will build and modernize full-stack, production-grade applications while integrating AI, ML, and LLM capabilities into complex enterprise systems. They will also collaborate with cross-functional teams to design scalable architectures and maintain high standards for code quality and delivery infrastructure.

Requirements

Candidates must have at least 5 years of professional software development experience, including full-stack delivery and cloud-native architecture. Additionally, they need 3 years of experience integrating AI/ML/LLM technologies into production environments and must be legally authorized to work in Canada.

Skills

Full-stack development
Cloud-native architecture
Microservices
Event-driven architecture
AI/ML integration
LLM
CI/CD
REST APIs
GraphQL
Kubernetes
Infrastructure as code
Test automation
Data modeling
System modernization
Cloud platforms

Visa sponsorship

Not detected in the job text

Keywords

Full Stack Developer
Cloud-native
Microservices
Event-driven
AI
Machine Learning
LLM
REST
GraphQL
Kubernetes
CI/CD
Infrastructure as Code
SDLC
Modernization
Aerospace
Data Science
Automation
RAG
Agentic workflows
Enterprise software
Software Engineering
System integration
Observability
Containerization
Production-grade
Clean code
Unit testing
Integration testing
Technical leadership
Mentoring

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Jobs in Canada