Experienced Data & AI Platform Cloud DevOps / DataOps Engineer

Boeing•Seattle, WA

About The Position

At Boeing Digital Services, you’ll be a part of a team that creates innovative digital solutions and analytics that drive the future and evolution of Digital Services and enable our customers to transform the way they do business. Using agile digital technology, our solutions optimize all aspects of the aircraft operations and maintenance ecosystem including safety, environmental sustainability, and efficiency. As an Experienced Data & AI Platform Cloud DevOps / DataOps Engineer (Level 3), you will work as an DevOps with limited supervision to build and maintain our cloud environments, data pipelines, and manage Databricks in an Azure Cloud Platform. This position requires working closely with a team to ensure high availability and redundancy of all systems. The position will involve improving our build and data pipelines and ensuring successful delivery of new releases, developing infrastructure code, SRE-related tasks, and ultimately increasing value to the customer. This individual should have a persistent hunger to learn and solve problems in the pursuit of perfection in Seattle, WA.

Requirements

Minimum 2 years Cloud deployment experience (Azure preferred)
Minimum 3 years Software Development experience
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
Bachelor's degree or higher in a technical field

Nice To Haves

Experience with modern AI and ML technologies (Databricks Unity Catalog)
Experience with DevOps practices for data pipelines
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 & Databricks
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
Familiarity with static code analysis tools, such as Coverity

Responsibilities

Communicate effectively with other roles and skillsets, including data scientists, developers and product owners
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
Implement and support continuous integration and continuous delivery (CI/CD) maintain repeatable patterns and policies, discoverable automated templates, and policy as code
Develop cloud infrastructure/platform code
Implement DevOps and DataOps practices for data pipelines
Implement systems to monitor system health, data quality
Monitor health of the application and environment, and act to return system to health when alerted
Implement access-control and security systems
Monitor health of the application and environment, and act to return system to health when alerted
Effectively contribute to building the overall knowledge and expertise of the technical team

Benefits

Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.
The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.

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