DevOps/ Site Reliability Engineer - AWS

Austin, Texas, United States
Software and Services

Summary

Posted:
Weekly Hours: 40
Role Number:200245626
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 questioning the limitations. Working with multiple lines of business we manage many streams of Apple-scale data. We bring it all together and ignite business value. We do all this with an exceptional group of software engineers, data scientists, dev-ops engineers and managers.

Key Qualifications

  • KEY QUALIFICATIONS
  • 5+ years of experience in DevOps/SRE
  • Extensive experience in managing the applications on AWS
  • Experience in migrating & supporting the applications on AWS/Kubernetes
  • Experience in debugging Java applications
  • GOOD PROGRAMMING SKILLS IN UNIX & PYTHON
  • Good understanding on the concepts of AWS cloud products, DNS, Software & Hardware load balancers, GSLBs.
  • Experience in any of the deployment/configuration management tools like Ansible, Salt, Chef or Puppet.
  • EXCELLENT ANALYTICAL & PROBLEM SOLVING SKILLS
  • 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.
  • THE MAIN RESPONSIBILITIES FOR THIS POSITION INCLUDE:
  • Build & Support CI/CD tools to port & manage applications on AWS & Kubernetes
  • Deploy & Support applications onto Kubernetes based environments AWS EKS.
  • Build tools to monitor & alert the performance and low latency applications.
  • Ability to solve core network, system & performance issues.
  • Involvement in ambitious and fast paced projects supporting Apple's business by delivering innovative solutions.
  • The candidate is encouraged to be self-motivated, proactive, and a results driven ndividual.

Description

Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. 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 extract the value. We do all this with an exceptional group of software engineers, data scientists, dev-ops engineers and managers.

Education & Experience

EDUCATION BS in computer science with 5-7 years or MS plus demonstrated ability or related experience.

Additional Requirements

  • Expereince in
  • AWS
  • Java
  • Kubernetes
  • Scripting