Staff Engineer, KernelCare

Triwill Group; United States; On-site; USD 4,000 - 6,000; Full time

Job summary

Triwill Group, on behalf of a partner, seeks a Staff Engineer, KernelCare based in Hungary. This high‑impact individual contributor role focuses on building the next generation of automation and high‑reliability systems for Linux security products.

You will combine deep backend engineering expertise with technical product ownership across critical product components. This is an approximately 70% hands-on engineering role and 30% technical product ownership, giving you influence over both

Qualifications

• Autonomous technical leader
• Experience building Linux security products
• Strong systems architecture and ownership across lifecycles

Responsibilities

• Build automation and high-reliability linux security systems
• Own technical product aspects across critical components
• Lead full lifecycle from discovery to production release and optimization
• Incorporate AI-assisted development to improve automation and throughput

Job description

Description:

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Engineer, KernelCare based in Hungary.

This is a high-impact individual contributor role focused on building the next generation of automation and high-reliability systems for Linux security products. You will combine deep backend engineering expertise with technical product ownership across critical product components. The role is approximately 70% hands‑on engineering and 30% technical product ownership, giving you significant influence over both technology and delivery. You will work across the full lifecycle, from discovery and architecture through implementation, production release, and ongoing optimization. AI-assisted development is an integral part of the engineering workflow, with a strong focus on improving automation and operational throughput. The ideal candidate is an autonomous technical leader who thrives on ambiguity, complex systems, and meaningful cybersecurity challenges.