Cloud & Infrastructure Automation Intern

Cox Communications

New York (NY)

On-site

USD 40,000 - 61,000

Full time

4 days ago

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Benefits offered by this job

Health insurance

401(k)

Paid time off

Job summary

Cox Automotive invites applications for Software Development Interns to join our team and learn from industry leaders. This internship offers exposure to enterprise platforms, deployment pipelines, security and monitoring across public and private clouds, with mentorship and hands‑on projects.

You will develop automation, build tools and pipelines, and contribute to continuous integration and delivery while gaining experience in modern software engineering practices and cloud‑based architectures.

Qualifications

Currently a college student pursuing a BA/BS degree in computer science or a related field, including classes related to software development, systems, networking and security.
Experience with Windows and Linux systems, containers and databases.
Experience with source code, build, deploy, orchestration and configuration management tools.
Experience in writing code and scripts in at least one high‑level programming language.
An eye to identify and a desire to resolve insufficiencies and manual activities via automation.
Familiarity with public cloud architecture and technologies, preferably AWS.
Familiarity with Agile concepts and processes (Scrum and Kanban).
An interest in building and continuously improving secure and resilient applications at scale.
An interest in gathering data and measuring the progress on what makes applications perform.
Familiarity with AI tools that assist in producing, testing, and automating tasks in software development and deployment.

Responsibilities

Developing automation for infrastructure provisioning and procedures, configuration management and ongoing support processes to be used across all environments.
Documenting new development, procedures or test plans as needed.
Helping develop and following best practices, security and engineering standards.
Building tools and pipelines needed to facilitate continuous integration and delivery of software to all environments.
Automating code packaging, code deployment and configuration management processes to be used across all environments.
Soliciting feedback from delivery and operations teams about continuous integration and delivery challenges and working with them to identify opportunities to optimize software engineering throughput and quality.
Tracking system and service performance continuously in all environments and escalates to the appropriate team.
Leverage AI tools to assist in productivity, testing and automation.