Senior Data & AI Platform Cloud Operations Developer

Boeing Boeing · Aerospace · Seattle, WA +1

Boeing is seeking a Senior Data & AI Platform Cloud Operations Developer to build, operate, maintain, and support Azure cloud platform environments for application, data, and product teams. The role focuses on managing cloud subscriptions, implementing standards, maintaining resource structures, supporting secure access, operating shared platform services, and resolving cloud, pipeline, networking, and deployment issues. This position requires collaboration with various teams to ensure environments are usable, consistent, secure, highly available, and operationally supportable. Responsibilities include platform build-out, infrastructure deployments, CI/CD support, identity and access implementation, Azure networking changes, Databricks connectivity support, and incident resolution.

What you'd actually do

  1. Prepare and manage Azure subscriptions for platform and team use by applying naming conventions, tagging standards, baseline configurations, and environment readiness controls.
  2. Build and maintain Dev, UAT, and Prod cloud environments based on defined standards, ensuring consistency across environments over time.
  3. Create and maintain Azure resource group structures per application, product, or platform service, including implementation of team access boundaries and ownership models.
  4. Implement and maintain RBAC assignments at subscription and resource group scope, updating access as teams onboard or requirements evolve.
  5. Configure and maintain service principals, managed identities, Key Vault access, and secure system-to-system permissions across platform services and pipelines.

Skills

Required

  • Cloud deployment experience (Azure preferred)
  • Software Development experience
  • development, deployment and version control tools (e.g. Gitlab, Atlassian)
  • continuous integration tools (e.g., Jenkins/Gitlab CI/CD)
  • modern database and storage systems (e.g. data mesh, blob storage, knowledge graphs)
  • supporting an AI or ML development team
  • Bachelor's degree or higher in a technical field

Nice to have

  • modern AI and ML technologies (Databricks Unity Catalog)
  • DevOps practices for data pipelines
  • infrastructure as code (IaC), preferably using Terraform
  • secure system-to-system communication in the cloud
  • Platform-as-a-Services offerings like Cloud Foundry & Databricks
  • container orchestration using Kubernetes or similar
  • data models and database design
  • operating in a production environment
  • monitoring and logging tools, especially in the context of zero-trust architecture
  • static code analysis tools, such as Coverity

What the JD emphasized

  • Experience supporting an AI or ML development team