Cloud DevOps / Site Reliability Engineer, Applied Machine Learning

July 15, 2024
$256500 / year

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Job Description

Apple’s Applied Machine Learning team has built systems for a number of large-scale data science applications. We work on many high-impact projects that serve various Apple lines of business! Our teams use the latest in open source technology and as committers on some of these projects, we are pushing the envelope! Working with multiple lines of business we manage many streams of Apple-scale data. We bring it all together and unleash business value.

We do all this with an outstanding group of software engineers, data scientists, dev-ops engineers and managers. We are looking for a talented and dedicated engineers to join our team to bring passion for infrastructure and distributed systems, to build world-class platforms/products at a very large scale across cloud environments.

Come join Apple’s Applied Machine Learning Team, as a Senior Cloud DevOps/ Site Reliability Engineer, to help build & support innovative software applications. The ideal candidates should have a strong background in setting up and supporting the infrastructure for large scale big data applications in public cloud like AWS.

The main responsibilities for this position include:

Build & Support CI/CD tools to port & manage applications on AWS & Kubernetes

Ability to understand the application requirements (Performance, Security, Scalability etc.) and assess the right services/topology on AWS & Kubernetes

Deploy & Support applications onto Kubernetes based environments – On-prem K8s, AWS EKS.

Build automation to enable self-healing systems

Build tools to monitor & alert the high performance and low latency applications on AWS

Ability to troubleshoot application specific, core network, system & performance issues.

Involvement in challenging and fast paced projects supporting Apple’s business by delivering innovative solutions.

Monitor production, staging, test and development environments for a myriad of applications in an agile and multifaceted organization.

The candidate is expected to be self-motivated, proactive, and a solution-oriented individual.