Apple-posted 3 months ago
$181,100 - $318,400/Yr
Full-time • Mid Level
Cupertino, CA
Computer and Electronic Product Manufacturing

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.

  • Collaborate with a team of engineers to lead the design and development of observability solutions for Camera Data Engineering products and infrastructure.
  • 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.
  • Build powerful data integrity tooling to detect and correct issues in our 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.
  • 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.
  • Familiarity with observability and telemetry tools such as CloudWatch, Splunk, Prometheus, OpenTelemetry.
  • 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.
  • Comprehensive medical and dental coverage.
  • Retirement benefits.
  • A range of discounted products and free services.
  • Reimbursement for certain educational expenses — including tuition.
  • Opportunity to participate in Apple's discretionary employee stock programs.
  • Eligibility for discretionary bonuses or commission payments.
  • Relocation assistance.
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