Site Reliability Engineer, Apple Ads
Apple
- Location
- Onsite (Cupertino, California)
- Employment
- Full-time
- Level
- Mid Level
Posted 3 days ago
About the Role
Apple Ads is seeking a Site Reliability Engineer to maintain the uptime, scalability, and stability of mission-critical ad-tech systems across Apple Services. This role focuses on improving system reliability, security, and scalability through infrastructure improvements and collaboration with developers.
Skills
Site Reliability Engineering
Python
Go
Java
AWS
Linux
Terraform
Infrastructure as Code
Monitoring
Alerting
Observability
Incident Response
Kubernetes
Distributed Systems
Automation
Cloud Infrastructure
Full job details
At Apple, we focus deeply on our customers’ experience. Apple Ads brings this same approach to advertising, helping people find exactly what they’re looking for and helping advertisers grow their businesses.
Our technology powers ads and sponsorships across Apple Services, including the App Store, Maps, Apple News, and MLS Season Pass. Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes—from small app developers to big, global brands. Because when advertising is done right, it benefits everyone.
As a Site Reliability Engineer, you will be responsible for providing the platform for mission-critical ad-tech systems to maintain constant uptime, scale seamlessly, and allow for new applications and services to flourish. The successful candidate will be highly self-motivated and passionate about excellence, quality, and detail. The SRE will not only support operations but also work closely with the developers and architects within the team to aid in the design and assist with the implementation to improve stability, security, and scalability.
3+ years of experience supporting internet-facing production systems and distributed cloud infrastructure. Strong programming skills in at least one of: Python, Go, or Java. Proven expertise with AWS-managed infrastructure Hands-on experience with Linux systems and deep knowledge of its internals. Demonstrated experience with Infrastructure as Code, especially Terraform. Strong foundation in SRE concepts: Monitoring, alerting, and observability, incident response and root cause analysis, error budgets, SLAs/SLOs, and system reliability
Demonstrated experience designing, building, or integrating AI/LLM-powered tooling and automations Passion for customer privacy Built tools or services that automate platform operations, reduce toil, or improve cost efficiency. Experience managing Kubernetes clusters at scale in production environments. Hands-on experience troubleshooting distributed systems under real-world load. Experience building and operating infrastructure at scale. Experience building solutions that reduces friction in software delivery. Clear communication skills and comfort collaborating across engineering, infrastructure, and product teams. AWS certifications or broad experience across multiple AWS services is a plus.
Description
As a Site Reliability Engineer, you will be responsible for providing the platform for mission-critical ad-tech systems to maintain constant uptime, scale seamlessly, and allow for new applications and services to flourish. The successful candidate will be highly self-motivated and passionate about excellence, quality, and detail. The SRE will not only support operations but also work closely with the developers and architects within the team to aid in the design and assist with the implementation to improve stability, security, and scalability.
Minimum Qualifications
3+ years of experience supporting internet-facing production systems and distributed cloud infrastructure. Strong programming skills in at least one of: Python, Go, or Java. Proven expertise with AWS-managed infrastructure Hands-on experience with Linux systems and deep knowledge of its internals. Demonstrated experience with Infrastructure as Code, especially Terraform. Strong foundation in SRE concepts: Monitoring, alerting, and observability, incident response and root cause analysis, error budgets, SLAs/SLOs, and system reliability
Preferred Qualifications
Demonstrated experience designing, building, or integrating AI/LLM-powered tooling and automations Passion for customer privacy Built tools or services that automate platform operations, reduce toil, or improve cost efficiency. Experience managing Kubernetes clusters at scale in production environments. Hands-on experience troubleshooting distributed systems under real-world load. Experience building and operating infrastructure at scale. Experience building solutions that reduces friction in software delivery. Clear communication skills and comfort collaborating across engineering, infrastructure, and product teams. AWS certifications or broad experience across multiple AWS services is a plus.