Senior Database Engineer – Ad Platforms – 200548377 -Austin, Texas, United States

Apple

At Apple, we believe in the power of technology to enrich people’s lives. Everything we build is designed to empower people, including our advertising platform. We deliver ads in a way that benefits both customers and advertisers — helping people discover content, supporting creators, and protecting and respecting everyone’s privacy.

Our technology makes advertising possible on the App Store, Apple News, Stocks, and Apple TV. We help developers and marketers of all sizes drive app discovery across the App Store. Our display ads on Apple News and Stocks let advertisers promote their products alongside trusted content in a brand-safe environment, while supporting publishers and journalists. Sponsorship integrations and experiences in live sports on Apple TV help advertisers connect with captivated audiences. Everything we do is with the unwavering commitment to privacy you expect from Apple. Because when advertising is done right, it benefits everyone.

The Database Solutions team under Ad Platforms at Apple is drives database technologies selection, standards, patterns, and optimization to ensure the reliability, availability, performance, and efficiency of databases at scale.

The team partners closely with Ads engineering and other SRE and infrastructure teams to enable delivering product objectives via design, configuration, and maintenance of a fleet of databases that supports the Ad Platforms applications.

We are looking for Database Engineer candidates who will contribute to architecture and design solutions for multiple database technologies including Oracle, Postgres, and MySQL —both on-premises and in AWS, and will provide exceptional support for fast-paced, sophisticated distributed database production and non-production environments supporting OLTP and OLAP systems.

Take ownership for fast-paced, complex, and distributed database environments (200+ Oracle, Aurora Postgres, and Aurora MySQL databases) supporting OLTP and OLAP systems across on-premises and AWS

Design, build, and continuously maintain high performance and highly available database and change data capture infrastructure

Migrate mission-critical database applications leveraging on-prem Oracle to using AWS Aurora Postgres

Work closely with development engineering teams in advancing their strategic initiatives, operational readiness, engineering
standards, designs, and performance

Support various database maintenance activities like database upgrades, patch management, user management, and backup
and recovery

Setup and maintain Oracle GoldenGate Active-Active environments for databases and Big Data

Configure Oracle Data Guard and RAC for high availability and implement zero data loss solutions

Implement infrastructure automation and scripting using tools like Shell, Python, and Terraform

Troubleshoot and resolve database performance issues and tune SQL queries proficiently

Database on-call for production and non-production during US hours as part of a 12×7 rotation

5 or more years of industry experience designing, managing, and supporting production databases at scale3+ years supporting Oracle2+ years supporting Aurora Postgres and Aurora MySQLExtensive experience in handling architectural and design considerations such as performance, scalability and availabilityExpertise in relational database engineering and administration for on-prem and RDS Oracle (19c, 12c), Aurora Postgres (12+), and Aurora MySQL (5.7+)Strong knowledge in change data capture technologies (GoldenGate, Debezium)Very skilled in database monitoring, tuning, and alerting with tools like Datadog, OEM, CloudWatch, Grafana, PagerDuty or similar technologiesExperienced in Infrastructure as Code via Terraform or similar technologiesGood knowledge of Linux/Unix internals, systems/application design & architectureStrong analytical, critical thinking, and root cause analysisAbility to communicate effectively, both written and verbal, with technical and non-technical multi-functional teamsBachelor’s degree in Computer Science or equivalent field

 

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