Data Engineer - Cloud Infrastructure

Apple • Cupertino, CA

75d

About The Position

Apple delivers the most popular cameras in the world. Each product release provides breakthroughs in photography with stunning camera features that customers love. Our cameras deploy imaging complexity at the frontier of traditional camera engineering methods. Data volumes are growing to meet this need across camera simulations, performance calibrations, measurement results, and their correlations. Our team's task is to build a comprehensive aggregate data layer that enables efficient and flexible executive reporting, highly customized data applications, and powerful ML inference and analysis. We are seeking a highly motivated software engineer to manage the deployment of scalable cloud-native services, build observability tools, implement infrastructure as code automation, and create AI agents in a modern data layer.

Requirements

• Experience with large-scale observability visualization systems.
• Knowledge of popular visualization tools like Grafana, Data Dog, and ELK stack.
• Ability to build CI pipelines and automation tools using tools such as Jenkins, GitHub Actions, CircleCI, etc.
• Experience with Infrastructure-as-Code (IaC) tools such as Terraform, OpenTofu, or Pulumi.
• Working knowledge with Kubernetes networking.
• Experience with Snowflake including monitoring techniques.

Responsibilities

• Manage the deployment of scalable cloud-native services.
• Build observability tools for Camera Data Engineering products.
• Implement infrastructure as code automation.
• Create AI agents in a modern data layer.
• Collaborate with a team of engineers to lead the design and development of observability solutions.

What This Job Offers

• Industry: Computer and Electronic Product Manufacturing
• Number of Employees: 5,001-10,000 employees