Job Description
The Apple Services Engineering (ASE) team is building the next generation of foundational tools that empower software developers at Apple to build products that our customers love. The Observability team within ASE is a fast moving, highly skilled team that is designing and building a suite of platforms and services that help Apple engineers observe and get insights into their systems. If the thought of working with petabytes of data interests you, this is the place to be. Our systems must scale globally, stay highly available, and "just work," while supporting some of the largest services in the world.
We are seeking a versatile engineer who thrives wearing multiple hats. In this role you will primarily design and build the control plane tooling and automation that operates our time series database (TSDB) in production at scale, spanning provisioning, orchestration, scaling, health, and self-healing. Just as importantly, you will not be confined to tooling: you will regularly pick up core developer tasks on the data platform itself, contributing to the distributed systems that ingest, store, and query time series data. If you love the intersection of software engineering and large-scale operations, and you want your work to make massive fleets effortless to run, this is the place to be. If you'd love to join this amazing team, we'd love to hear from you!
We are looking for an engineer who blends strong software engineering fundamentals with a deep operational mindset. You will own the control plane that makes our TSDB reliable, scalable, and easy to operate, and you will fluidly move between building operational tooling and shipping product features. You should be comfortable owning problems end to end, from requirement gathering through design, implementation, rollout, and on-call operability.
Preferred Qualifications
Experience building control plane or fleet management tooling for stateful/data systems in production
Strong DevOps skillset: CI/CD pipelines, infrastructure as code (e.g. Terraform), configuration management, and GitOps workflows
Hands-on experience with container orchestration and scheduling (Kubernetes, operators, custom controllers)
Familiarity with time series database internals and the operational challenges of running them at scale
Experience with Observability solutions using OpenTelemetry, Prometheus, Grafana
Experience with columnar storage systems and/or building query engines is a plus
Experience building high performant systems in Rust is a plus
Comfortable wearing multiple hats, moving between operational tooling and core product/feature development
Great communication skills
Minimum Qualifications
BS or MS in CS or equivalent
5+ years of industry experience
Deep understanding of core CS concepts including data structures, algorithms, and concurrent programming
Proficiency in one or more programming languages such as Java, Scala, Go, or Python
Experience designing, implementing, and operating highly scalable infrastructure services in production
Deep understanding and work experience in distributed systems
Hands-on experience building automation and tooling for deployment, orchestration, and operations at scale
Strong attention to detail, excellent analytical capabilities, and a bias toward reducing operational toil
Passion for developing clear, robust, and maintainable software and systems
