Software Engineer- Systems

Apple•San Diego, CA

11h•Onsite

About The Position

Provide design and operational support of multiple Cloud-based applications with an emphasis on deployment, security, scalability and reliability running on public and Apple infrastructure. Work with teams on the design, implementation, maintenance, and monitoring of infrastructure for internal and tentpole projects. Define automation and processes for orchestrating hardware in custom lab environments. Investigate, diagnose, and remediated issues with continuous build and test pipelines, coordinating with code owners on root cause analysis. Serve as a central point for cross-team coordination on infrastructure capabilities and policy. Identify and document playbooks for automating task activity in response to infrastructure incidents. Engage in capacity planning, application optimization, and right-sizing on an ongoing basis. Contribute to Python and/or Golang software development tools to improve infrastructure automation. Perform peer code-reviews to improve the quality of automation software development. Provide subject matter expertise for specialized infrastructure development, including but not limited to training and serving machine learning models on distribute platforms (e.g. Kubernetes).

Requirements

Master’s degree or foreign equivalent in Computational Data Science, Computer and Information Technology or related field.
Developing automation scripts and tools in Python or Golang for software development, infrastructure management, or data processing tasks.
Building or maintaining CI/CD pipelines for automating build, test, and deployment processes for software and infrastructure.
Integrating automated testing frameworks (e.g., pytest or unittest) within CI/CD workflows to ensure code quality and reliability.
Working in Linux/Unix environments for scripting, automation, and troubleshooting of infrastructure and deployment issues.
Developing, integrating, or maintaining relational or NoSQL databases systems.
Using Cloud platforms (e.g., AWS, Azure, or GCP) for provisioning resources or deploying applications and pipelines.
Using infrastructure-as-code tools (e.g., Terraform) to provision and manage Cloud resources.
Using containerization technologies (such as Docker or Kubernetes) to package and deploy software.
Developing, deploying, or maintaining machine learning models or infrastructure responsible for model training, model versioning, and serving inference models in production or staging environments.
Implementing version control best practices using Git for collaborative software development and automated workflow integration.

Responsibilities

Provide design and operational support of multiple Cloud-based applications with an emphasis on deployment, security, scalability and reliability running on public and Apple infrastructure.
Work with teams on the design, implementation, maintenance, and monitoring of infrastructure for internal and tentpole projects.
Define automation and processes for orchestrating hardware in custom lab environments.
Investigate, diagnose, and remediated issues with continuous build and test pipelines, coordinating with code owners on root cause analysis.
Serve as a central point for cross-team coordination on infrastructure capabilities and policy.
Identify and document playbooks for automating task activity in response to infrastructure incidents.
Engage in capacity planning, application optimization, and right-sizing on an ongoing basis.
Contribute to Python and/or Golang software development tools to improve infrastructure automation.
Perform peer code-reviews to improve the quality of automation software development.
Provide subject matter expertise for specialized infrastructure development, including but not limited to training and serving machine learning models on distribute platforms (e.g. Kubernetes).