Senior Software Engineer - Distributed Systems
San Diego, CAFull-timeSeen todaySeen in employer's feed today
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Job overview
Apple’s Data Analytics team is seeking a distributed systems engineer to work on its device telemetry platform. The role involves building services and applications that parse, persist, and help understand device usage data, and designing, building, and iterating on stream-processing and ingestion pipelines. The engineer will collaborate with data scientists and engineers across Apple to refine requirements, validate designs, and implement solutions.
Skills & qualifications
Skills
Qualifications
Full job description
Weekly Hours: 40
Role Number: 200692741-3543
Summary
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.
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
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Undergraduate degree in Computer Science or related field, or equivalent experience
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3-5+ years experience working on large distributed systems, ideally on a public cloud platform
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Extensive experience with container-based orchestration (Kubernetes, EC2, GCP, etc.)
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Practical knowledge of queue/stream consumers like Flink and Kafka
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Highly proficient with agentic development techniques
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Unwavering commitment to CI/CD
Preferred Qualifications
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Exposure to profiling and optimization of scale compute and data pipelines
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Comfortable and adaptable in a dynamic/informal environment with shifting priorities
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Excellent verbal and written communication skills
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Self-motivated and dedicated with creative and critical thinking capabilities
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Plus: Production query engine experience (Presto/Trino/Athena, etc.)
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.
How this job compares
Set against the 605 open Distributed Systems Engineer jobs on Olive Jobs, counted November 4, 2026.
- Pay
- This postingNot listed
- California median$175–260K/yr129 salary ranges
- Openings
- Olive Jobs lists 172 open Distributed Systems Engineer jobs in California and 605 across the US. 5% of them nationwide are listed as remote or flexible.
- Hiring the most in California
- Amazon13 open
- Apple (this employer)13 open
- Databricks10 open
- Experience
- This posting asks for at least 3 years of experience — less than three in four Distributed Systems Engineer postings that state a minimum ask for (median 7 years, across 474 postings).
- Education
- 103 of the 605 open Distributed Systems Engineer jobs (17%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 4, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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