Data Engineer - Cloud Infrastructure

Cupertino, California, United States Hardware

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.

Responsibilities

• As a Data Engineer, you will use open source and internal tools to automate and manage the deployment of our application stack across public and on-prem cloud providers, implement best practices for application observability and alerting, and build powerful data integrity tooling to detect and correct issues in our data pipelines. You will be responsible for providing technical guidance, sharing observability know-how, leveraging AI pipelines, and mentoring the team to develop and deliver best-of-class solutions.

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

At Apple, base pay is one part of our total compensation package and is determined within a range. The base pay range for this role is between $181,100 and $318,400, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.