Site Reliability Engineer (SRE)

San Diego, CA, US • Posted 20 hours ago • Updated 7 hours ago
Full Time
On-site
Fitment

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Job Details

Skills

  • FOCUS
  • Real-time
  • iPad
  • Sensors
  • Video
  • Computer Vision
  • Machine Learning (ML)
  • Algorithms
  • Scalability
  • Elasticsearch
  • Remote Desktop Services
  • Amazon RDS
  • Infrastructure Architecture
  • Cloud Computing
  • Google Cloud Platform
  • Google Cloud
  • Microsoft Azure
  • Computer Science
  • Computer Engineering
  • IaaS
  • Management
  • Amazon Web Services
  • Service Management
  • Terraform
  • Python
  • Docker
  • Kubernetes
  • PostgreSQL
  • Redis
  • Teaching
  • Software Development
  • Collaboration
  • Knowledge Transfer
  • Computer Networking
  • Microservices
  • Linux

Summary

The Video Computer Vision organization is working on exciting technologies for future Apple products. Our focus is on ML based solution around real time image and video. We have contributed to the FaceID and FaceKit project in the past and more recently the new LIDAR iPad sensor. We are looking for the right Site Reliability Engineer to help us take our efforts to the next level.\\n\\nIn this role, you will help lead our cloud based infrastructure team for Apple's Video Computer Vision Organization. As a main contributor to our SRE team you will develop and maintain infrastructure, tooling, and engineering services for cloud based applications. You will be responsible for system bringup, deployment, reliability, security and service scalability. This role is highly cross-functional and you will work very closely with various highly skilled software development / ML teams developing cutting edge algorithms.

Your core responsibility is to provide operational support of multiple cloud based applications with an emphasis on deployment, security, scalability and reliability running on AWS and Apple infrastructure. Our technologies include Terraform, Argo, Docker, Python, Postgres, Prometheus, in combination with custom Apple software and tooling. Common technologies you'll manage include: Kubernetes (eks), Elasticsearch, Redis, RDS, ELB, and other AWS based services. This role will also help drive solutions for hybrid infrastructure (on and off prem) and drive infrastructure architecture for our AWS based cloud platform.

Experience building systems both on-premise (data center) and on public cloud (AWS, Google Cloud Platform or Azure welcome)\nHave deployed and operated schedulers such as Kubernetes, AWS ECS or EKS\nAbility to write code in one of many high level languages (Python preferred)\nBS and a minimum of 3 years relevant industry experience

MS in Computer Science/Computer Engineering (or equivalent experience)\n5+ years supporting large scale in production applications in an SRE role\n3+ years managing SRE teams and supporting mission critical applications\n3+ years of Hybrid Cloud infrastructure management\nExperience with AWS large-scale application deployment and service management through Terraform, Argo, or similar\nExpert knowledge of Linux, Python, Docker, Kubernetes, Postgres, Redis, along with operations and monitoring\nProfessorial approach to working with team members, teaching best practices and leveling up the engineers around you\nBe seen as a leader among software development teams, championing collaboration and shared ownership in technology decisions and knowledge transfer within the team\nExpertise in networking with an emphasis on security\nWorking knowledge of deploying microservices and working experience on strategies to support Apple's scale\nVast experience using Linux with knowledge of kernel/system tuning\nLast but not least, you are battle-tested and have a few interesting production tales
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90733111
  • Position Id: 61ad5e446592a0864ee4524068d4dbf3
  • Posted 20 hours ago
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