Job description

We're looking for engineers with a strong track record of building fault-tolerant, distributed systems, and the judgment to operate confidently in a complex, high-scale environment. Our team builds the services and applications that power observability across CloudKit and other iCloud services, giving engineers the visibility they need to operate at massive scale. You'll work across the full lifecycle, from designing new services to deploying them on Kubernetes, while collaborating closely with infrastructure and platform teams whose systems you integrate with. We value engineers who can move fluidly between hands-on coding, architecture decisions, and production ownership, and who are curious about applying new techniques, including machine learning, to solve operational problems. 5+ years experience developing software in Java or a similar language (e.g., C++, C#, Go) Strong background in designing, building, and operating backend services and distributed systems Experience in programming in concurrent and multi-threaded environments Experience deploying applications on Kubernetes or similar container orchestration platforms Bachelor’s degree in an engineering-related field or equivalent job-related experience Familiarity with distributed data processing frameworks (e.g., Spark, Flink, Trino) and languages commonly used with them, such as Scala or Python Familiar with time-series event data and systems Familiar with distributed streaming architectures and data analytics at scale Experience with observability concepts and frameworks Experience using AWS, GCP, and cloud native technologies

Requirements

Must-haves

We're looking for engineers with a strong track record of building fault-tolerant, distributed systems, and the judgment to operate confidently in a complex, high-scale environment.
5+ years experience developing software in Java or a similar language (e.g., C++, C#, Go)
Strong background in designing, building, and operating backend services and distributed systems
Experience in programming in concurrent and multi-threaded environments
Experience deploying applications on Kubernetes or similar container orchestration platforms
Bachelor’s degree in an engineering-related field or equivalent job-related experience
Familiarity with distributed data processing frameworks (e.g., Spark, Flink, Trino) and languages commonly used with them, such as Scala or Python
Familiar with time-series event data and systems
Familiar with distributed streaming architectures and data analytics at scale
Experience with observability concepts and frameworks
Experience using AWS, GCP, and cloud native technologies

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

kubernetesmachine learningjavagopythonawsgcp

Platform: apple
Effort: medium