DevOps Engineer

Apple Inc.
Austin, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Austin, United States of America

Tech stack

Agile Methodologies
Artificial Intelligence
Amazon Web Services (AWS)
XCode
Continuous Integration
Software Debugging
DevOps
Python
Systems Development Life Cycle
Ansible
Software Engineering
Data Streaming
Pulumi
Cloud Platform System
Grafana
Multi-Cloud
Generative AI
HybridCloud
Backend
Containerization
Git Flow
Kubernetes
Infrastructure Automation Frameworks
Information Technology
Front End Software Development
Hardware Infrastructure
REST
Terraform
Docker
Jenkins
Microservices

Job description

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other'sideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives forthe better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Apple's Events, Streaming and Broadcast Services (ESB) team is looking for a DevOps Engineer to join our team. Our team manages and maintains the software development for Events and streaming applications - both frontend and backend, the infrastructure automation, CI/CD pipelines and other related tooling. We are passionate about continuously improving the way we enable the software development lifecycle and we're looking for a like-minded individuals like you who wants to continuously automate and improve their environment. In your role you will support engineering teams and provide operational support for large-scale backend systems deployed across hybrid cloud environments like Kubernetes on AWS and on-premise infrastructure. If you're passionate about automation, cloud-native technologies, operational excellence, and leveraging cutting-edge AI to transform software delivery, we encourage you to apply.

The Events, Streaming and Broadcast (ESB) team provides the cloud-based infrastructure for multiple backend production systems that enable applications and/or services that touch several thousands of people internal and external. In this role, you will champion innovation by leveraging modern generative AI tools to accelerate documentation, optimize workflows. Our team paves the way for engineering teams to develop and roll out new features. As a DevOps Engineer, you'll play a pivotal role in designing, implementing, and maintaining this critical infrastructure and automation. You will enhance our CI/CD capabilities, manage Kubernetes deployments across multi-cloud and on-prem environments, and develop custom tools to boost developer efficiency. You'll also explore and integrate Generative AI to optimize our processes.

Requirements

BS/MS in Computer Science or equivalent experience.\n5+ years of experience in Software Development.\n5+ years of experience as a DevOps engineer.\n5+ years in Python, or other languages.

Experience in Kubernetes, Infrastructure as Code, and Configuration as Code.\nWorking experience with the SDLC, including Continuous Integration and Agile development practices.\nWorking experience with Infrastructure as Code systems like Pulumi, and Terraform.\nWorking experience with DevOps tools like Jenkins, Ansible, Docker, Grafana, and GitOps.\nExperience developing Microservices and REST APIs.\nExperience with cloud platforms such as AWS and/E.\nStrong debugging and problem solving skills.\nExperience with development environments such as Xcode, Swift.\nStrong communication skills and ability to collaborate.\nComfortable and adaptable in a high-paced environment.\nDetail-oriented, analytical, methodical AND creative thinker committed to driving quality forward.\nSelf-motived, passionate about DevOps, enjoys a steep learning curve.\nHands on experience in Gen AI technologies.\nUtilizing Generative AI assistants to accelerate the work process.

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