Data Engineer - Cloud Infrastructure at Apple

San Diego, California, United States -

Full Time

Start Date

Immediate

Expiry Date

15 Dec, 25

Salary

0.0

Posted On

16 Sep, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Cloud-Native Applications, AWS, EKS, Kubernetes, S3, Observability Tools, Telemetry Tools, CloudWatch, Splunk, Prometheus, OpenTelemetry, CI Pipelines, Automation Tools, Infrastructure-as-Code, Terraform, Kubernetes Networking, Snowflake

Industry

Computers and Electronics Manufacturing

Description

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. DESCRIPTION In this role, you will collaborate with a team of engineers to lead the design and development of observability solutions for Camera Data Engineering products and infrastructure. MINIMUM QUALIFICATIONS BS or higher in Computer Science in Data Engineering, Data Science, or related fields. Experience managing cloud-native applications leveraging AWS including EKS, Kubernetes and S3 Observability and telemetry tools such as CloudWatch, Splunk, Prometheus, OpenTelemetry Experience with tools such as Helm, Flux, ArgoCD PREFERRED QUALIFICATIONS Experience with large-scale observability visualization systems with 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

In this role, you will collaborate with a team of engineers to lead the design and development of observability solutions for Camera Data Engineering products and infrastructure. You will manage the deployment of scalable cloud-native services and create AI agents in a modern data layer.