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Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.
Size: 10000+ employees
Industry: Technology, Information Technology, Software, Consumer Goods & Services
Apple's Services Engineering organization (ASE) is seeking experienced database systems engineering managers to join our Databases SRE organization. The databases organization is expanding its footprint into Seattle and is seeking an experienced engineering manager to join and build out this site.
The Databases SRE organization covers multiple database and data service technologies, including Apache Cassandra, Apache Kafka, Apache Solr, Redis/Valkey, as well as other technologies. This position would have an initial primary focus on the Apache Cassandra teams, but would grow to be a site lead for all database technologies based out of the Seattle site.
Managers in ASE Cassandra SRE teams develop and contribute to software built to manage Apache Cassandra, an open source distributed database powering some of Apple's most critical internet services. You will be joining a team of experts, working at the cutting edge of modern database deployment architectures and distributed systems. The team's work is deployed at massive scale, serving millions of queries per second over hundreds of petabytes of data across our data-centers worldwide. It also has big impact, forming the platform upon which i Cloud and many other internet services at Apple are built. In ASE, your work will benefit hundreds of millions of users and is critical to the success of some of the most visible current and future Apple features.
Description
The ASE Cassandra SRE team develops applications and tooling that are safe, reliable, scalable, and fast. This work requires an innovative spirit and an extraordinary degree of care and rigor in engineering. Team members contribute to all major components of Cassandra deployment infrastructure, including maintenance automation, backup service application, monitoring and alerting tooling/dashboards, deployment architecture, as well as contributing back to the upstream patches to the database focused on stability, performance, and scaling.
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As a leader in this organization, you will manage, develop, and grow a team responsible for Cassandra's scalability and performance across Apple. You will also be responsible for growing the larger database and service organization within the Seattle campus leading automation and scaling initiatives across the Cassandra, Kafka, Solr, Redis, and etcd SRE teams.
This role also requires excellent communication, ability to partner with our Core Storage and Analytics teams, and a high degree of customer focus when engaging with internal platform customers. As a distributed team, ability to work effectively with colleagues based in other locations is also essential; experience in this area is a plus. Prior experience with development or maintenance of distributed databases / storage systems is recommended.
Preferred Qualifications:
Experience developing or leading work in distributed systems engineering.
Experience leading control plane services for managing data plane infrastructure.
Experience managing or developing critical internet services / platform infrastructure.
Understanding of distributed systems and database concepts (consistency models, isolation levels, crash and recovery semantics).
Understanding of database concepts (consistency models, isolation levels, crash and recovery semantics).
Performance engineering (design concepts, profile-guided optimization).
Service management across a bare metal, virtualized (EC2), and containerized (K8s) style platforms.
Fundamentals of system-level hardware and networking components (storage devices and controllers, network interfaces, CPU and memory layout in server-class systems).
Operating systems concepts (process scheduling, disk and network I/O, performance).
Datacenter architecture (networking topologies, host placement strategies, and failure modes); design of multi-datacenter systems; failure domains; and wide-area networking.
Minimum Qualifications
BS, MS, or PhD in Computer Science / related fields or equivalent work experience
Ability to rapidly build credibility with engineers, customers, and partners and quickly learn new technical domains.
Comfort working with geographically distributed partners.
Expertise in project management, project planning, and making the unpredictable predictable.
Experience developing or leading work in distributed systems, database systems, storage engines, validation engineering, or performance engineering.
Advanced understanding of data structures and algorithms in storage and indexing.
Proficient in modern Java and optionally Python / Golang
Experience developing critical internet services and/or platform infrastructure.
- Understanding of core SRE concepts
- Monitoring, Alerting, Incident management.
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. Learn more about your EEO rights as an applicant .
Client-provided location(s): Seattle, WA
Job ID: apple-200639839-3337_rxr-660
Employment Type: OTHER
Posted: 2026-01-08T19:13:43
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About Apple

Apple
PublicA technology company that designs, manufactures, and markets consumer electronics, personal computers, and software.
10,001+
Employees
Cupertino
Headquarters
$3.5T
Valuation
Reviews
4.0
10 reviews
Work Life Balance
4.0
Compensation
4.2
Culture
3.8
Career
3.5
Management
3.2
75%
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Pros
Great coworkers and people
Excellent benefits and perks
Fast-paced and engaging work environment
Cons
High expectations and pressure
Management quality varies
Limited career progression opportunities
Salary Ranges
17,968 data points
Junior/L3
L2
L3
L4
L5
L6
M3
M4
M5
M6
Principal/L7
Senior/L5
Staff/L6
Junior/L3 · Data Scientist ICT2
0 reports
$121,979
total / year
Base
-
Stock
-
Bonus
-
$103,682
$140,276
Interview Experience
5 interviews
Difficulty
3.4
/ 5
Duration
28-42 weeks
Offer Rate
20%
Experience
Positive 20%
Neutral 40%
Negative 40%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Behavioral Interview
5
Onsite/Virtual Interviews
6
Team Matching
7
Offer
Common Questions
Coding/Algorithm
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Technical Knowledge
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