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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 AIDevOps 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 AIDevOps 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.
Job Responsibility:
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