Experienced Data & AI Platform Cloud DevOps / DataOps Engineer

Experienced Data & AI Platform Cloud DevOps / DataOps Engineer Company: The Boeing Company 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. Position 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 Required Qualifications (Required Skills/Experience) 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 Preferred Qualifications (Education/Experience): 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 At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. 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. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range: 130,050 - 175,950 Language Requirements: Not Applicable Education: Bachelor's Degree or Equivalent Relocation: Relocation assistance is not a negotiable benefit for this position. Export Control Requirement: This is not an Export Control position. Safety Sensitive: This is not a Safety Sensitive 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: Shi