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Added 15 mins ago
JT
Chief Technology Officer
Journal Technologies
Victoria, BC
- $205,000 to $275,000 USD / year
Deep expertise in software and systems architecture, including distributed systems, cloud-native design, APIs, and data platforms.
Added 45 mins ago
Principal Technology Architect
Infosys
Canada
Proven experience driving Cloud, Data, AI, Digital Engineering, and/or technology modernization initiatives in complex enterprise environments.
Added 59 mins ago
NT
C# / C++ Developpeur (Real Time expert)
Nöord Technologies
Montreal, QC
- Full-time
Grid & Cloud Infrastructure: Transitioning from IBM Symphony to ArmoniK (an open-source, cloud-compatible grid manager), while actively designing and deploying cloud-native and…
Added 59 mins ago
MP
Lead Data Engineer
Municipal Property Assessment Corporation
Pickering, ON
- Full-time
Experience designing and developing scalable data pipelines, integration frameworks and cloud-native data solutions supporting operational reporting, analytics and AI initiatives
Added 59 mins ago
H
AI Solutions Architect
Hays
Toronto, ON
- Contract
Strong understanding of microservices, RESTful APIs, event-driven architectures, cloud-native design patterns, relational databases, and NoSQL technologies.
Added 59 mins ago
AC
Développeur·euse logiciel·le C++/C#
ALTEN Canada
Montreal, QC
- Full-time
Contribuer à l’architecture et à la feuille de route des composants cloud-native
Added 59 mins ago
T
Full Stack Engineer
TEEMA
Vancouver, BC
- $100,000 to $110,000 CAD / year
- Full-time
We’re looking for an experienced Full Stack Developer to join a growing technology team in Vancouver. This is a hands-on development role working across modern front-end applications,…
Added 1 hour ago
SL
Director, Domain Enterprise Architect, Technology Modernization and Cloudification
Sun Life
Toronto, ON · Waterloo, ON · Montreal, QC · Sun Life Toronto One York
- Full-time
· Extensive experience designing enterprise cloud architectures and leading the architectural migration of large-scale on-premises technology estates to cloud infrastructure, managed…
Added 1 hour ago
Agentic AI Software Backend & Platform Engineer
Siemens
Kitchener, ON
…AI frameworks, connectivity platforms, semantic data models, cloud-native architectures, and industrial AI services that power autonomous, scalable, and intelligent operations across the…
Added 1 hour ago
CI
Student Intern, Aerospace & Defense
Celestica International LP
Toronto, ON
- $23 to $30 CAD / hour
…Celestica enables critical data center infrastructure for AI, cloud, and hybrid cloud and advances technologies in high-growth markets. Working with the world’s leading technology companies…
Added 1 hour ago
M
Senior Architect - Cybersecurity
Manulife
Toronto, ON · Waterloo, ON
- Full-time
Experience with Cloud Native (12-Factor) Architecture and Infrastructure Patterns.
Added 1 hour ago
D
Lead AI .Net Developer
Digitive
Canada
- Contract
…C# and .NET Core, with a deep understanding of Architecture, cloud-native patterns, and building robust backend…
Added 2 hours ago
Senior Manager, Software Engineering
Questrade Financial Group
Toronto, ON
Extensive experience in Cloud native development of Microservices , specifically using Google Kubernetes Engine (GKE) and other Google Cloud Platform components.
Added 2 hours ago
KG
Enterprise Security Architect - Senior Security Engineer
K&K Global Talent Solutions INC.
Toronto, ON
- Full-time
Drive adoption of Infrastructure-as-Code security, DevSecOps, and cloud-native security services.
Added 2 hours ago
RD
Full Stack Engineer
Randstad Digital
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Full Stack Developer & Senior Full Stack Developer (IoT & Cloud Solutions)
Added 2 hours ago
M
Senior Cloud Engineer -Hybrid
Manulife
Toronto, ON · Waterloo, ON
- Full-time
Hands-on experience building and integrating RESTful APIs, web services, and cloud-native applications.
Added 2 hours ago
K
Senior Web Developer (Full Stack)
Klick
Toronto, ON
- Full-time
The Senior Web Developer builds and delivers production web experiences and supporting services for life sciences brands as part of Klick’s Full Stack + AI team. The role combines deep web…
Added 3 hours ago
TI
Test Lead - Healthcare
Teckhorizon Inc
Toronto, ON
- Contract
…Project, supporting the development and implementation of secure, cloud-native healthcare integration solutions. This role will lead end-to-end testing strategy, API validation, automation,…
Added 3 hours ago
ÉD
Postdoctoral Fellow – Automation and Decision Support, Distributed Systems and Multi-Agent Systems – C5I Centre
École de technologie supérieure
Montreal, QC
- $80,000 to $88,000 CAD / year
- Full-time
Knowledge of cloud-native technologies, microservices, containers, and DevSecOps practices.
Added 3 hours ago
ET
Terraform Solution Architect
Envision Technology Solutions
Toronto, ON
- Contract
· Cloud-Native Expertise: Deep understanding of Kubernetes and modern DevOps practices .
Added 3 hours ago
K
Senior Web Developer (Full Stack)
Klick
Toronto, ON
- Full-time
The Senior Web Developer builds and delivers production web experiences and supporting services for life sciences brands as part of Klick’s Full Stack + AI team. The role combines deep web…
Added 3 hours ago
E
Azure Cloud Engineer
ELITS
Remote, Canada
- Full-time
- Remote
…focus on Infrastructure as Code, Azure Kubernetes Service, developer enablement, and cloud platform excellence. You will help shape cloud architecture standards, improve automation, and…
Added 3 hours ago
B
Senior Greenfield Full Stack Developer (Builder)
Boeing
Vancouver, BC · Richmond, BC · CAN - Richmond, Canada
- Full-time
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…
Added 4 hours ago
M
Software Engineer - Front End
Microsoft
Vancouver, BC
- Full-time
…innovation, more openness, and the sky is the limit thinking in a cloud-enabled…
Added 5 hours ago
WN
Manager, Guidewire
WCB Nova Scotia
Dartmouth, NS
- Full-time
If you've ever looked at a tangled ecosystem of applications, integrations, releases, cloud services, and business processes and thought, "I can make this better," keep reading.

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

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Job details

Pay: Salary pay range - $110,000.00 – $197,000.00 CAD
Job type: Full-time
Apply by: Oct 21, 2026
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:

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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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