Software Engineer (Transactional), AI & Data Platforms

Apple Inc.

Sunnyvale, United States

4 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.dice.com

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Databases Data as a Services Data Centers Data Infrastructure Data Integrity Data Migration Internet Services Python (Programming Language) PostgreSQL MongoDB

+9 more

Online Transaction Processing Oracle (Applications) Reliability Engineering SQL Databases Cloud Platform System HybridCloud Kubernetes Information Technology Transactional Database

Job description

The AiDP Data Services SRE team builds engine-agnostic platform capabilities - provisioning, backup/restore, observability, and self-service - spanning Oracle, PostgreSQL, MongoDB, and CockroachDB. This role involves supporting data migration efforts across hybrid-cloud environments with minimal downtime and guaranteed data integrity, following established runbooks and adhering to local data residency and regulatory requirements. This role requires good communication and collaboration with Core Storage teams and colleagues across a distributed team.

Requirements

Apple’s AI & Data Platform (AiDP) Data Services organization is seeking a motivated database systems engineer to join our Data Services SRE team, focused on our transactional database fleet. Engineers on this team develop and contribute to platform tooling that manages relational and distributed-SQL/document engines powering some of Apple’s most critical internet services at massive scale. In AiDP, your work will benefit hundreds of millions of users., 3 years of experience in a Site Reliability Engineering / Infrastructure focused role

Hands-on production experience with at least one of Oracle, PostgreSQL, MongoDB, including exposure to On Call and Incident Management

Exposure to running infrastructure with reliance on automation tooling, across Datacenter and Cloud architectures (third party cloud)

Good understanding in one or more of the following programming languages: Python or Go

BS or MS in Computer Science / related fields or equivalent work experience

Preferred Qualifications

Some operational experience with stateful services on Kubernetes

Solid troubleshooting skills, a resourceful first-principles approach to problem solving, and good technical writing habits

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