Software Development Engineer [req#200615785]

Software Development Engineer

Apple Inc has the following available for Software Development Engineer in Seattle, Washington. Research, design, and develop computer and network software or specialized utility programs. Analyze user needs and develop software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis. Design, develop, and operate software systems and services for monitoring and observability of Apple infrastructure and services. Design, implement, and support distributed, highly scalable Apple Observability platform services, utilizing server technologies (e.g. non-blocking IO, distributed storage). Design and develop a critical infrastructure component that efficiently processes and aggregates high volume of telemetry data utilizing expertise in data stream processing technologies (e.g. Apache Spark, Apache Flink). Design and implement in-memory timeseries database utilizing expertise in storage technologies (e.g. columnar compression). Support production systems, while working on to maximize operational efficiency, improve reliability and availability of services. Work on analysis of live site issues with cross-functional engineering teams and Software Reliability Engineers. $190,486 - $258,100/yr.

Requirements: Master's degree or foreign equivalent in Computer Science, Computer Engineering or related field and 4 years of experience in the job offered or related occupation. 4 years of experience with each of the following skills: 1. Using Java includes core Java, concurrency, non-blocking IO, performance tuning to develop high throughput, large scale Observability platform. 2. Using Python to build developer productivity tools to speed up developer efficiency. 3. Using BigData Technologies like Spark, Flink, or Hadoop to process large datasets. 4. Familiarity with time series database internals. 5. Experience in building highly scalable, fault tolerant distributed Telemetry platform processing high volumes of data. 6. Using AWS, Azure, or Kubernetes to run systems in Cloud Technologies. 7. Proficiency in Apache Kafka for building real-time data streaming and event-driven architectures, including aggregation engines, stream alerting systems. 8. Strong API design and implementation skills for building scalable and high throughput servers to serve telemetry dashboard queries.