Staff Linux Security Engineer: eBPF & Runtime Protection

Datadog; Italia; Ibrido; EUR 90.000 - 130.000; Tempo pieno

Descrizione del lavoro

Datadog’s Security Agent team is seeking a Staff Software Engineer to lead the design and development of low-level Linux instrumentation and runtime security technologies that help customers detect threats, monitor system activity, and protect cloud-native workloads at scale.

You will work on eBPF, Linux kernel internals, performance-sensitive systems, and large-scale data collection while influencing technical direction across multiple product teams.

Competenze

• Significant experience building software in Linux environments.
• Hands-on experience with eBPF, kernel-level instrumentation, or related low-level tech.
• Ability to build reliable, production-grade software across Linux distributions and kernel versions.
• Strong focus on performance and reliability in large-scale systems.
• Customer-focused mindset with emphasis on usability and impact.

Mansioni

• Lead architecture and development of security agent capabilities for runtime threat detection and workload protection.
• Design and build reusable eBPF-based monitoring for process, file, and network visibility in Linux.
• Drive end-to-end delivery from strategy to testing and rollout of new features.
• Establish testing methodologies to improve coverage, detection quality, reliability, and performance.
• Collaborate with product, security, and engineering teams to deliver shared platform capabilities.
• Provide technical leadership, mentor peers, and resolve cross-functional challenges.

Conoscenze

Linux internals

eBPF

Systems programming

Performance tuning

Cross-team collaboration

Descrizione del lavoro

Datadog’s Security Agent team is seeking a Staff Software Engineer to lead the design and development of low-level Linux instrumentation and runtime security technologies that help customers detect threats, monitor system activity, and protect cloud-native workloads at scale.

You will work on eBPF, Linux kernel internals, performance-sensitive systems, and large-scale data collection while influencing technical direction across multiple product teams.