Senior Data Systems Engineer – Scalable APIs & Pipelines

Apple; Annapolis (MD); On-site; USD 130,000 - 242,000; Full time

Benefits offered by this job

Calm work environment

Mentoring

Growth culture

Flexible vacation policy

Excellent benefits

Job summary

Apple's AMP Data Services team is seeking a Sr. Software Engineer to design and build scalable data systems supporting millions of users and billions of transactions across Apple ecosystem apps.

You will contribute to core data infrastructure, including storage, caching, and streaming components, collaborating with cross-functional teams to meet tight deadlines. The role emphasizes hands-on implementation in Java/C++, performance optimization, and deep understanding of distributed systems, with

Qualifications

• Extensive professional experience developing software in Java and/or C++ with a strong understanding of object-oriented concepts and design.
• Experience and deep understanding of distributed data stores such as Kafka, Cassandra, Redis, Solr, etc. Strong production debugging and performance tuning skills.
• Strong understanding of data architecture and related issues.
• Experience working on complex problems and distributed systems where scalability and performance are extremely important (every millisecond counts)
• Must be independent and able to work effectively with cross-functional teams.
• Our customers love what we do at Apple, and we want the same from our engineers: a passion for building the best systems!

Skills

Java

C++

Object-oriented design

Education

Computer Science degree

Tools

Kafka

Cassandra

Redis

Solr

Job description

Apple's AMP Data Services team is seeking a Sr. Software Engineer to design and build scalable data systems supporting millions of users and billions of transactions across Apple ecosystem apps.

You will contribute to core data infrastructure, including storage, caching, and streaming components, collaborating with cross-functional teams to meet tight deadlines. The role emphasizes hands-on implementation in Java/C++, performance optimization, and deep understanding of distributed systems, with