DevOps Engineer

Job Description

The Product Marketing Customer Analytics team at Apple is seeking DevOps engineers in Austin to build an analytics platform to support customer analytics with advanced, scalable, and robust architecture, tools, data products, and critical data pipelines optimized for rapid business intelligence, data analysis, and data science.

Requirements

• 5+ years of experience in DevOps, software engineering
• BS in Computer Science, Quantitative Finance, Math, Physics, or a related Engineering degree

Responsibilities

• Champion zero-downtime deployment process through continuous delivery practices
• Design, implement, and maintain scalable AWS cloud architectures to support AI model training and hosting
• Deploy, monitor, and optimize AI/ML models using services such as Amazon SageMaker, EC2, Lambda, and EKS
• Develop and manage CI/CD pipelines for efficient deployment and integration of AI applications
• Ensure high availability, security, and compliance of cloud-based AI systems
• Collaborate with data scientists, software engineers, and product teams to streamline the model deployment lifecycle
• Implement observability tools, logging, and monitoring using CloudWatch, Splunk, Prometheus, or Grafana
• Provision and optimize ML platforms such as Dataiku and distributed AI frameworks like Ray
• Manage and optimize GPU-based infrastructure for high-performance AI workloads
• Troubleshoot performance and scaling issues in cloud environments
• Develop and maintain infrastructure-as-code (IaC) scripts using tools like Terraform, Ansible, or Puppet to automate the provisioning and configuration of infrastructure resources
• Experience with cloud platforms such as AWS, Azure and working in both on-prem and hybrid cloud setup
• Proficient with containerization and cluster management technologies like Docker and Kubernetes
• Excellent with Python, Bash, PERL, or other scripting languages
• Experience working in an agile scrum and also an ability to work independently
• Able to quickly learn new and existing technologies
• Strong attention to detail and excellent analytical capabilities