AI DevOps Engineer

Job Description

At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.

Boeing Vancouver is seeking an AI DevOps Engineer, reporting to the Senior Manager of Data Science & Analytics working out of the Richmond, BC office. The position will be based from our Richmond, British Columbia office, and a hybrid work style is offered. 

The successful candidate will possess a keen enthusiasm for AI, ML and data analytics. The role will be responsible for the construction, health, and improvement of AI and ML pipelines in a high security cloud environment. The position will be embedded in a multidisciplinary data science DevOps team to develop and support advanced analytics applications. Successful candidates will assist the data science team in converting industry-leading analytics initiatives into product platforms which in turn support diverse and interesting customer aircraft programs.

The dynamic and rapidly advancing technologies in the world of cloud-based deployment require engineers that proactively stay up to date with new technologies and are always refining their craft. The AI DevOps Engineer will work closely with a team to ensure high availability and redundancy of all systems. The position will involve improving our build pipeline and ensuring successful delivery of new releases, developing infrastructure code, building for scalability and reusable micro-services, and ultimately leading expansions to new customer use cases.

Position Responsibilities:

• Communicate effectively with other roles and skillsets, including data scientists, developers and product owners.

• Lead a cloud transformation for a portfolio of high-profile applications.

• Help architect, design, and ultimately build scalable, reliable, and high-performance systems and environments.

• Evangelize DevOps throughout the work, organization, and interactions with others.

• Effectively contribute to building the overall knowledge and expertise of the technical team.

• Support production of AI and ML applications.

• Implement and support continuous integration and continuous delivery (CI/CD).

• Design and build monitoring solutions and services.

• Develop cloud infrastructure/platform code.

• Promote test-driven development.

• Implement systems to monitor system health, data quality and scientific performance.

• Monitor health of the application and environment, and act to return system to health when alerted.

• Implement access-control and security systems.

• Contribute to technical documentation.

Basic Qualifications (Required Skills/Experience):

• Minimum 3 years’ Software Development experience.

• Minimum 2 years’ Cloud deployment experience (Azure preferred).

• Experience with development, deployment and version control tools (e.g. Gitlab, Atlassian).

• Experience with continuous integration tools (e.g., Jenkins/Gitlab CI/CD).

• Experience using modern database and storage systems (e.g. data mesh, blob storage, knowledge graphs).

• Experience supporting an AI or ML development team.

• Must be eligible for authorization under the Canadian Controlled Goods Program.

• Must be legally able to work in Canada.

• Individuals must not pose a risk for safeguarding controlled goods.

• Must be eligible to handle US export-controlled data.

Preferred Qualifications (Desired Skills/Experience):

• Experience with modern AI and ML technologies (Databricks, Dataiku, Unity Catalogue).

• Experience with cloud-deployed APIs and micro-services.

• Experience with infrastructure as code (IaC), preferably using Terraform.

• Experience with secure system-to-system communication in the cloud.

• Knowledge of Platform-as-a-Services offerings like Cloud Foundry.

• Experience with container orchestration using Kubernetes or similar.

• Experience with data models and database design.

• Experience operating in a production environment.

• Experience with monitoring and logging tools, especially in the context of zero-trust architecture.

• Understanding of service mesh architectures and related technologies.

• Familiarity with static code analysis tools, such as Coverity.

• A technical degree/diploma in a related field of study.

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.

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

Applications for this position will be accepted until Aug. 12, 2025

Export Control Requirements: This is not an Export Control position.

Relocation

Relocation assistance is not a negotiable benefit for this position.

Security Clearance

This position requires an active or ability to obtain Canadian Government Controlled Goods Program (CGP) assessment.

Visa Sponsorship

Employer will not sponsor applicants for employment visa status.

Equal Opportunity Employer:

We are an equal opportunity employer. We do not accept unlawful discrimination in our recruitment or employment practices on any grounds including but not limited to; race, color, ethnicity, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military and veteran status, or other characteristics covered by applicable law.

We have teams in more than 65 countries, and each person plays a role in helping us become one of the world’s most innovative, diverse and inclusive companies. We are proud members of the Valuable 500 and welcome applications from candidates with disabilities. Applicants are encouraged to share with our recruitment team any accommodations required during the recruitment process. Accommodations may include but are not limited to: conducting interviews in accessible locations that accommodate mobility needs, encouraging candidates to bring and use any existing assistive technology such as screen readers and offering flexible interview formats such as virtual or phone interviews.

Experience Level
Individual Contributor
Contingent Upon Program Award
No, this position is not contingent upon program award

Schedule
Full time

Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.