Apple is looking to build a comprehensive aggregate data layer to enable efficient and flexible executive reporting, highly customized data applications, and powerful ML inference and analysis for its camera products
Requirements
- 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
- 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
Responsibilities
- Lead the design and development of observability solutions for Camera Data Engineering products and infrastructure
- Automate and manage the deployment of application stack across public and on-prem cloud providers
- Implement best practices for application observability and alerting
- Build powerful data integrity tooling to detect and correct issues in data pipelines
- Provide technical guidance and share observability know-how
- Leverage AI pipelines and mentor the team to develop and deliver best-of-class solutions
- Collaborate with a team of engineers to design and develop observability solutions
Other
- BS or higher in Computer Science in Data Engineering, Data Science, or related fields
- Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services
- Reimbursement for certain educational expenses - including tuition
- Eligibility for discretionary bonuses or commission payments as well as relocation
- Participation in Apple’s discretionary employee stock programs
