AI DevOps Engineer

Company:

Boeing Vancouver

Job ID:

00000426357

Date Posted:

2024-05-15

Location:

CAN – Richmond, Canada

Job Description Qualifications:

Boeing Vancouver is seeking an AI DevOps Engineer, reporting to the Manager of Data Science & Analytics working out of the Richmond, BC office. The AI DevOps Engineer will be primarily assigned to the Tech Ops Analytics portfolio. 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 in support diverse and interesting customer aircraft programs.

The dynamic and rapidly advancing technologies in the world of cloud-based deployment requires 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

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

Employer will not sponsor applicants for employment visa status.

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.

• Individual must not pose a risk for safeguarding of 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.

Typical Education and Experience:

Education/experience typically acquired through advanced technical education (e.g. Bachelor) and typically 5 or more years’ related work experience or an equivalent combination of technical education and experience (e.g. PhD, Master+3 years’ related work experience, 9 years’ related work experience, etc.).

Relocation:

Relocation assistance is not a negotiable benefit for this position. Candidates must live in the immediate area or relocate at their own expense.

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.

Applications for this position will be accepted through 30th May 2024.

Boeing is the world’s largest aerospace company and leading manufacturer of commercial airplanes and defense, space and security systems. We are engineers and technicians. Skilled scientists and thinkers. Bold innovators and dreamers. Join us, and you can build something better for yourself, for our customers and for the world.

Relocation:

No relocation available

Export Control Requirement:

Not an export control position

Safety Sensitive:

This is not a safety sensitive position

Contingent Upon Award Program

This position is not contingent upon program award

Experience Level:

Individual Contributor – 3

Job Type:

Regular

Job Code:

BAMYI3 (B39)