Senior Data & AI Platform Cloud Operations Developer

Boeing Boeing · Aerospace · Seattle, WA +1

This role is for a Senior Data & AI Platform Cloud Operations Developer at Boeing. The primary focus is on building, operating, and maintaining Azure cloud platform environments for application, data, and product teams. Responsibilities include managing cloud subscriptions, implementing standards, maintaining resource structures, supporting secure access, operating shared platform services, and resolving operational issues related to cloud, pipelines, networking, and deployments. The role requires collaboration with various teams to ensure environments are usable, consistent, secure, and highly available. Experience with AI/ML development team support, Azure, CI/CD, and database systems is required.

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

  • Azure cloud platform environments
  • Azure subscriptions
  • naming conventions
  • tagging standards
  • baseline configurations
  • environment readiness controls
  • Dev, UAT, and Prod cloud environments
  • Azure resource group structures
  • RBAC assignments
  • service principals
  • managed identities
  • Key Vault access
  • system-to-system permissions
  • Azure networking
  • VNets
  • subnets
  • network security groups
  • route tables
  • private endpoints
  • DNS configuration
  • VNet peering
  • Databricks connectivity
  • AKS
  • Azure Container Apps
  • Foundry environments
  • GitLab runners
  • API Management
  • Application Gateway
  • ingress components
  • GitLab projects
  • GitLab group structures
  • CI/CD pipelines
  • GitLab CI/CD
  • infrastructure deployments
  • deployment failures
  • configuration drift
  • repeatable deployment patterns
  • Databricks integration
  • monitoring
  • availability
  • platform services
  • application environments
  • pipelines
  • infrastructure components
  • operational issues
  • access problems
  • networking failures
  • deployment errors
  • pipeline failures
  • configuration inconsistencies
  • onboarding blockers
  • application and product teams onboarding
  • access setup
  • pipeline enablement
  • operational guidance
  • operational documentation
  • runbooks
  • knowledge sharing
  • continuous improvement
  • DevOps practices
  • platform operations practices
  • 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

Nice to have

  • Modern AI and ML technologies (Databricks Unity Catalog)
  • DevOps practices for data pipelines
  • Infrastructure as code (IaC)
  • 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