Apple delivers the most popular cameras in the world, pushing the boundaries of traditional camera engineering with complex imaging systems. As data volumes grow across camera simulations, performance calibrations, and measurements, we need to build a comprehensive data layer enabling efficient reporting, customized applications, and ML analysis.
As a Data Engineer on our Cloud Infrastructure team, you'll be at the forefront of building scalable cloud-native services and observability solutions. You'll work with cutting-edge technologies to automate deployments, implement infrastructure as code, and create AI agents in our modern data layer.
Your role involves collaborating with engineers to design and develop observability solutions for Camera Data Engineering products and infrastructure. You'll use open source and internal tools to manage application deployments across cloud providers, implement observability best practices, and build robust data integrity tooling.
Key responsibilities include providing technical guidance, sharing observability expertise, leveraging AI pipelines, and mentoring team members. You'll work with technologies like AWS, Kubernetes, CloudWatch, and various observability tools to deliver best-in-class solutions.
The ideal candidate brings experience with cloud-native applications, infrastructure automation, and modern observability practices. Knowledge of visualization tools like Grafana and experience with CI pipelines are valuable assets. This role offers the opportunity to work on cutting-edge camera technology while building scalable data infrastructure at one of the world's most innovative companies.
Benefits include competitive base pay, equity through stock programs, comprehensive healthcare, retirement benefits, education reimbursement, and potential bonuses. Join us in shaping the future of camera technology through advanced data engineering.