Staff Engineer at cloudlinux-1

Language

Setup: Remote
Location: Madrid, Community of Madrid
Type: Full-time
Level: not_specified
Posted: Aug 28, 2026

Description

TuxCare is seeking Staff Engineers for KernelCare and SecureChain products. This role involves deep technical execution and product ownership, focusing on 70% hands-on software engineering and 30% technical product management. The ideal candidate will own major product components, translate requirements into technical plans, design scalable architectures, and ensure component reliability. They must work independently, collaborate with various stakeholders, and contribute to engineering quality.

Required Skills

Python
System Design
Architectural Thinking
AI-Assisted Development Tools

Additional Information

Required Previous Experiences: Owning major projects, products, systems, or workstreams end-to-end.
Hands-on Python development experience.
Strong system design and architectural thinking, able to implement solutions hands-on.
Experience building substantial systems/features and releasing them to production.
Ability to gather/refine requirements and turn them into technical plans, milestones, and deliverables.
Strong technical product ownership, understanding engineering decisions supporting product/business goals.
Regular use of AI-assisted development tools for planning, implementation, debugging, testing, refactoring, automation, or code review.
Curiosity, adaptability, and an interest in cybersecurity and complex technical problems.
Advanced written and spoken English.
Preferred Qualifications: Challenging Linux, automation, and cybersecurity problem-solving across mature and newer products.
Ability to influence technical direction and make impactful architectural decisions.
High-level independence and ownership.
Technical involvement in complex, high-impact engineering work.
Balancing short-term delivery with long-term scalability, reliability, maintainability, and extensibility.
Contributing to engineering quality via design reviews, technical guidance, mentorship, and best practices.
Utilizing AI-assisted development tools regularly in the engineering workflow for planning, implementation, debugging, testing, refactoring, automation, and code review.