Senior Data & AI Platform Cloud Operations Developer

Company:

At Boeing Digital Services youll 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 a Senior Data & AI Platform Cloud Operations Developer (Level 4) you will work with limited supervision to build operate maintain and support Azure cloud platform environments used by application data and product teams. This role is focused on managing cloud subscriptions and making them ready for platform and team use implementing standards maintaining resource structures supporting secure access operating shared platform services and resolving day-to-day cloud pipeline networking and deployment issues in Seattle WA or Englewood CO

This position requires working closely with platform architects developers data engineers product owners enterprise cloud teams and application teams to ensure environments are usable consistent secure highly available and operationally supportable across Dev UAT and Prod. The role will execute platform build-out infrastructure deployments CI/CD support identity and access implementation Azure networking changes Databricks connectivity support and incident resolution. This individual should have a persistent hunger to learn solve problems and improve operational reliability in the pursuit of perfection.

Position Responsibilities:

• Communicate effectively with platform architects developers data engineers product owners enterprise cloud teams and application teams.

• Prepare and manage Azure subscriptions for platform and team use by applying naming conventions tagging standards baseline configurations and environment readiness controls.

• Build and maintain Dev UAT and Prod cloud environments based on defined standards ensuring consistency across environments over time.

• Create and maintain Azure resource group structures per application product or platform service including implementation of team access boundaries and ownership models.

• Implement and maintain RBAC assignments at subscription and resource group scope updating access as teams onboard or requirements evolve.

• Configure and maintain service principals managed identities Key Vault access and secure system-to-system permissions across platform services and pipelines.

• Implement Azure networking changes including VNets subnets network security groups route tables private endpoints DNS-related configuration and cross-region VNet peering as defined by architecture.

• Establish and support secure connectivity to Databricks platform services and shared cloud components across regions.

• Deploy maintain monitor and troubleshoot shared platform services such as AKS Azure Container Apps Foundry environments and integrations GitLab runners Key Vaults API Management Application Gateway and ingress components.

• Create and maintain GitLab projects and group structures configure CI/CD pipelines variables permissions and integrations between infrastructure outputs and application deployment pipelines.

• Execute infrastructure deployments across Dev UAT and Prod troubleshoot deployment failures resolve configuration drift and maintain repeatable deployment patterns.

• Support Databricks integration activities including secure networking access configuration supporting integrations data connectivity validation and operational issue resolution.

• Monitor health and availability of platform services application environments pipelines and infrastructure components; act to return systems to health when alerted.

• Resolve day-to-day Azure operational issues including access problems networking failures deployment errors pipeline failures configuration inconsistencies and onboarding blockers.

• Support application and product teams as they onboard to the platform including access setup pipeline enablement environment readiness and operational guidance.

• Contribute to operational documentation runbooks knowledge sharing and continuous improvement of platform support practices.

• Evangelize practical DevOps and platform operations practices throughout the work organization and interactions with others.

• Effectively contribute to building the overall knowledge and expertise of the technical team.

Required Qualifications (Required Skills/Experience)

• Minimum2 years Cloud deployment experience(Azure preferred)

• Minimum 3 years Software Development experience

• Experience with development deployment and version controltools (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

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: 158950 - 215050

Language Requirements:

Education:

Relocation:

Export Control Requirement:

Safety Sensitive:

Security Clearance:

Visa Sponsorship:

Contingent Upon Award Program

Shift:

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