Remote Graduate Engineer: Linux, Security & AI

Real Work From Anywhere Ltd.; United States; Remote; USD 70,000 - 100,000; Full time

Benefits offered by this job

Fully remote work with flexible hours

24 paid vacation days a year

Compensation for private medical保险

Co-working and gym/sports reimbursemen

Dedicated education budget

Patent-worthy innovation rewards

Professional development focus

Job summary

CloudLinux, a global remote-first company, invites high-potential final-year students and recent graduates to join a paid, full-time graduate role in engineering. You will work on Linux infrastructure and security products, learn from experienced engineers, and grow technical skills in AI-assisted approaches.

You’ll contribute to features, fixes, and automation while exploring unfamiliar code paths and collaborating with teams across the engineering organization.

Qualifications

• Practical programming skills in at least one language, such as C, C++, Python or Go.
• Strong analytical thinking and data structures fundamentals.
• Ability to use AI tools to tackle unfamiliar programming problems and explain solutions.
• Curiosity and independent learning.
• Care for code quality and testing.
• Clear communication of technical decisions.
• English at B2 level or higher.

Responsibilities

• Developing and testing product features, fixes and engineering tools.
• Investigating production issues and implementing reliable solutions.
• Reading unfamiliar code and understanding system interactions.
• Improving automation for building, testing and delivering software.
• Contributing to code reviews and technical discussions.

Skills

C/C++

Python/Go

Linux

AI tools usage

Problem solving

Reading unfamiliar code

Communication

Tools

Git

Job description

CloudLinux, a global remote-first company, invites high-potential final-year students and recent graduates to join a paid, full-time graduate role in engineering. You will work on Linux infrastructure and security products, learn from experienced engineers, and grow technical skills in AI-assisted approaches.

You’ll contribute to features, fixes, and automation while exploring unfamiliar code paths and collaborating with teams across the engineering organization.