
Site Reliability Engineer, Enterprise Technology Services
The promise of working at Apple is the opportunity to do your life’s best work and be part of something big. Imagine what you could do here. At Apple, new ideas have a way of becoming phenomenal platforms, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.
Emerging Technology Services team productizes upcoming software and evangelizes it to the Apple community. We are an SRE/DevOps/Operational Intelligence team rolled into one. The platforms and software trends that we create are technology pillars that support Apple. From eCommerce to reporting systems we make it seamless for disparate systems talk to each other at an unfathomable scale and speed. From Load Balancers, perimeter security, to Integrations and API gateways we support and help adoption of platforms.
The SRE Engineer position will be part of a horizontal Platform Engineering Ops group focused on a breadth of technologies and applications including very highly scalable distributed applications. The position requires strategic engineering and data science skills, along with hands‑on technical work. The candidate will get to explore and learn about security domain, participate in building machine learning pipelines, phish/fraud/anomaly detection models, crypto strategies for privacy, apply data science skills to petabytes of data.
As a member of our fast‑paced group, you will have the unique and rewarding opportunity to shape and improve the software that allows our products to surprise and delight billions of Apple’s customers every day! If you’re excited by the idea of making a real impact, and joining a team where we pride ourselves in being one of the most diverse and inclusive companies in the world, a career with Apple will be your dream job!
DescriptionThe SRE Engineer position will be part of a horizontal Platform Engineering Ops group focused on a breadth of technologies and applications including very highly scalable distributed applications. The position requires strategic engineering and data science skills, along with hands‑on technical work. The candidate will get to explore and learn about security domain, participate in building machine learning pipelines, phish/fraud/anomaly detection models, crypto strategies for privacy, apply data science skills to petabytes of data.
As a member of our fast‑paced group, you will have the unique and rewarding opportunity to shape and improve the software that allows our products to surprise and delight billions of Apple’s customers every day! If you’re excited by the idea of making a real impact, and joining a team where we pride ourselves in being one of the most diverse and inclusive companies in the world, a career with Apple will be your dream job!
Minimum Qualifications- 7+ years of experience in software engineering.
- Hands on experience in at least one of the object oriented language. Preferably Java/JEE
- Hands on experience with automation tools (e.g., Ansible, Terraform)
- Strong programming and scripting fundamentals (Python/Bash/LUA)
- Strong relational and Non‑relation Database fundamentals with hands on PL/SQL experience.
- Strong analytical skills
- Java and JVM technologies runtime configurations and troubleshooting is a plus
- Familiarity with Modern web services architectures, cloud platforms such as AWS, GCP, Azure and distributed storage systems (ScaleIO, Amazon S3)
- Experience with monitoring and logging tools (e.g., Prometheus,Splunk, Grafana, Cloudwatch) is a plus
- Understanding of CI/CD, Release Engineering and DevOps.
- Good understanding of various machine language algorithms and patterns is desired
- Cryptographic algorithms
- In‑depth experience in writing, understanding and reverse engineering regular expressions to detect patterns
- Strong understanding of how TLS, mTLS and various industry standards for secure communications over the wire
- Skilled in researching and understanding vulnerabilities and threats posted in open forum and translate them into system design/implementation to detect and prevent them
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