Jobs and Careers

Sr. Cloud Ops / SRE, Applied Machine Learning

United Statesfull_timeVerifiedPosted 19 Nov 2024

💰 $312,200/yr($175,800/yr – $312,200/yr)

About the role

Summary

Posted: Nov 19, 2024
Weekly Hours: 40
Role Number:200579314

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. We use the latest in open source technology and as committers on some of these projects, we are opening up the boundaries. Working with multiple lines of business we manage many streams of Apple-scale data. We bring it all together and spark business value. We do all this with an exceptional group of software engineers, data scientists, dev-ops engineers and managers. We are looking for a hardworking 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.

Description

Join Apple's Applied Machine Learning Team, as a Senior Software Engineer, to build & support innovative software applications. Candidates should have strong background in setting up and supporting the infrastructure for large scale big data applications in public cloud like AWS or GCP. THE MAIN RESPONSIBILITIES FOR THIS POSITION INCLUDE: Build & Support CI/CD tools to port & manage applications on AWS/GCP & Kubernetes Ability to understand the application requirements (Performance, Security, Scalability etc.) and assess the right services/topology on AWS/GCP & Kubernetes Deploy & Support applications onto Kubernetes based environments - On-prim K8s/AWS EKS/GCP GKE. Build automation to enable self-healing systems Build tools to monitor high performance & alert the low latency applications on AWS/GCP 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 dynamic organization. The candidate is expected to be self-motivated, proactive, and a solution-oriented individual.

Minimum Qualifications

5+ years of experience in SRE/DevOps
Bachelors with 4+ years or MS plus 2+ years experience or related experience.
Strong programming skills in Unix & Python
Extensive experience in managing the applications on AWS/GCP & Kubernetes
Strong Experience in Infrastructure templating tools like CloudFormation, Terraform
Strong proficiency with Helm or Kustomize for managing Kubernetes applications and configurations.

Preferred Qualifications

BS in computer science with 4+ years or MS plus 2+ years experience or related experience.
Practical understanding of Networking concepts on Cloud, like VPCs, DNS, Security Groups, Kubernetes network model
Experience in building CI/CD pipelines for large scale application on AWS/GCP & Kubernetes
Experience in GitOps based deployment tools like Spinnaker/Flux/ArgoCD
Experience in enabling AutoScaling for both VM & Containerized workloads
Deep understanding of Object Oriented Programming skills like Java.
Experience in Performance tuning JVMs & Operating Systems like Linux
Good understanding of Data Security on Cloud based applications
Excellent analytical & problem solving skills
Exposure to Large Language Models, Vector Databases, RAG, GenAI platforms like AWS Bedrock or GCP Vertex AI are preferred.

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $175,800 and $312,200, and your base pay will depend on your skills, qualifications, experience, and location.

App