Observability Ebpf information
See salary details
$16.35 - $22.71
0% of jobs
$22.71 - $29.06
0% of jobs
$29.06 - $35.42
2% of jobs
$35.42 - $41.78
5% of jobs
$41.78 - $48.14
10% of jobs
$51.12 is the 25th percentile. Wages below this are outliers.
$48.14 - $54.50
17% of jobs
The median wage is $59.52 / hr.
$54.50 - $60.86
20% of jobs
$60.86 - $67.22
18% of jobs
$68.36 is the 75th percentile. Wages above this are outliers.
$67.22 - $73.58
15% of jobs
$73.58 - $79.94
9% of jobs
$79.94 - $86.30
4% of jobs
How much do observability ebpf jobs pay per hour?
As of Sep 9, 2026, the average hourly pay for observability ebpf in the United States is $60.53, according to ZipRecruiter salary data. Most workers in this role earn between $50.72 and $69.47 per hour, depending on experience, location, and employer.
An Observability eBPF Engineer is a specialist who leverages eBPF (extended Berkeley Packet Filter) technology to improve system observability, monitoring, and performance analysis. They design and implement tools that collect deep insights from operating systems and applications without significant overhead. Their work involves writing eBPF programs, integrating them with observability platforms, and ensuring that systems can be monitored securely and efficiently. These engineers often collaborate with SRE, DevOps, and security teams to enable better troubleshooting and incident response. Their expertise is crucial for modern cloud-native environments where traditional monitoring tools may fall short.
An Observability eBPF engineer works closely with both development and operations teams to instrument applications and infrastructure, ensuring that performance and security metrics are accurately collected in real-time. They often participate in designing monitoring solutions, troubleshooting complex issues, and providing actionable insights that improve system reliability. Regular collaboration involves sharing findings, recommending optimizations, and integrating observability tools into CI/CD pipelines. This role requires effective communication skills to translate technical metrics into meaningful information for broader teams.
To thrive as an Observability eBPF Engineer, you need a solid background in systems programming, Linux internals, networking, and experience with eBPF technology, often supported by a degree in computer science or a related field. Familiarity with observability tools like Prometheus, Grafana, and distributed tracing systems, as well as proficiency in languages like C, Go, or Rust, is essential. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for diagnosing complex issues and collaborating with cross-functional teams. These skills and qualifications are vital for building reliable, high-performance monitoring solutions and ensuring system observability at scale.
What other helpful pages are available for Observability Ebpf?
Other pages related to Observability Ebpf:
