Senior Software Engineer - Distributed Systems
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Before you apply
LocationSan Diego, California, United States
Typefull-time
SenioritySenior
Experience3+ yrs
DepartmentSoftware and Services
Company size10,000+ people
PostedNov 2, 2026 · 1d ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Undergraduate degree in Computer Science or related field, or equivalent experience
3-5+ years experience working on large distributed systems, ideally on a public cloud platform
Extensive experience with container-based orchestration (Kubernetes, EC2, GCP, etc.)
Practical knowledge of queue/stream consumers like Flink and Kafka
Highly proficient with agentic development techniques
Unwavering commitment to CI/CD
Exposure to profiling and optimization of scale compute and data pipelines
Comfortable and adaptable in a dynamic/informal environment with shifting priorities
Excellent verbal and written communication skills
Self-motivated and dedicated with creative and critical thinking capabilities
Production query engine experience (Presto/Trino/Athena, etc.)
Skills
Kubernetes
EC2
GCP
Flink
Kafka
Presto
Trino
Athena
About the role
Are you ready to embrace massive scale? Undaunted ingesting petabytes of raw data each day from more than a billion customer devices?
Apple’s Data Analytics team is looking for a motivated and driven distributed systems engineer to work on our device telemetry platform. We need a talented software developer to join our tight-knit cross-functional engineering team, building services and applications to parse, persist, and understand how Apple customers use their devices.
Description
We collect, analyze, and produce insights from diagnostic and usage data from Apple devices. Our data is used to improve products and services and inform the overall direction of Apple platforms.
Responsibilities
Our engineering responsibility spans device, data collection, compute, and query and visualization interfaces. As part of the Data Analytics team, you will similarly work cross-functionally to design, build, and iterate on our stream processing and ingestion pipeline.
Collaborating with data scientists and engineers across Apple, you will capture and refine requirements, validate design decisions, and implement. This role has high visibility and impact within the Apple Software Engineering organization.
Minimum qualifications
•
Undergraduate degree in Computer Science or related field, or equivalent experience
•
3-5+ years experience working on large distributed systems, ideally on a public cloud platform
•
Extensive experience with container-based orchestration (Kubernetes, EC2, GCP, etc.)
•
Practical knowledge of queue/stream consumers like Flink and Kafka
•
Highly proficient with agentic development techniques
•
Unwavering commitment to CI/CD
Preferred qualifications
•
Exposure to profiling and optimization of scale compute and data pipelines
•
Comfortable and adaptable in a dynamic/informal environment with shifting priorities
•
Excellent verbal and written communication skills
•
Self-motivated and dedicated with creative and critical thinking capabilities
•
Plus: Production query engine experience (Presto/Trino/Athena, etc.)
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