Software Engineer (Data Analytics), AI & Data Platforms (AiDP)

Apple Inc.

Sunnyvale, CA, United States

12 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

3 years minimum

Working hours

Regular working hours

Job source

www.techcareers.com

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Data Analysis Apache HTTP Server Cloud Computing Cyber Security Databases Couchbase Servers Data as a Services Data Centers

+17 more

Data Infrastructure Elasticsearch Internet Services Python (Programming Language) Online Transaction Processing Open Source Technology Runbook Search Technologies SQL Databases Data Processing Cloud Platform System HybridCloud Kubernetes Information Technology Data Analytics Data Management Vertica

Job description

Apple’s AI & Data Platform (AiDP) Data Services organization is seeking a motivated Software Engineer, Data Analytics focused on providing data analytics and search services. Engineers on this team build data processing platforms and develop required tooling for Apple’s most critical internet services at massive scale. In AiDP, your work will benefit hundreds of millions of users., The AiDP Data Services Analytics team builds data analytics and search capabilities - provisioning, backup/restore, observability, and self-service - spanning OpenSearch, ClickHouse, SingleStore, Couchbase, Apache Doris, Apache Milvus, etc. This role involves supporting data processing and migration efforts across hybrid-cloud environments (On-Prem ? AWS ? AliCloud) following established Runbooks and adhering to local data residency and regulatory requirements (e.g., China’s Cybersecurity Law and PIPL). This role requires good communication and collaboration with infrastructure teams and colleagues across a distributed team.

Requirements

3+ years experience in data analytics and/or data search space
Experience and knowledge of Java or Python programming languages
Hands-on production experience with at least one of the following technologies: Solar, Elastic Search, Iceberg, ClickHouse, Doris and/or Couchbase
Exposure to running infrastructure with reliance on automation tooling, across Datacenter and Cloud architectures (including Alibaba Cloud and/or AWS)
Bachelor’s or Master’s degree in Computer Science or a related work experience

Preferred Qualifications

Some operational experience with stateful services on Kubernetes
Exposure to database-as-a-service control planes, provisioning APIs, or self-service tooling
Experience assisting with cross-cloud / hybrid-cloud data migrations for transactional systems
Familiarity with observability concepts (SLIs/SLOs), backup, and DR practices for OLTP/distributed-SQL engines
Solid troubleshooting skills, a resourceful first-principles approach to problem solving, and good technical writing habits
Contributions to open-source database projects or internal data-platform tooling