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Observability Ebpf Jobs (NOW HIRING)

Nvidia

OR

Linux kernel hardening (SELinux/AppArmor) and observability (eBPF). * Experience securing large-scale Linux infrastructure. * Proven understanding of security risks and how to reduce them.

Cisco

Product Manager

San Jose, CA · On-site +1

... eBPF. Cisco Isovalent builds open-source software and enterprise solutions solving networking, security, and observability needs for modern cloud native infrastructure. The flagship technologies ...

Blaxel, Inc

Network Software Engineer

San Francisco, CA · On-site

$250K - $300K/yr

Your work will span ultra-high-performance dataplane systems (VPP, DPDK, eBPF) and the distributed ... Instrument networking systems with deep observability: metrics, flows, packet traces, latency ...

Connect Tech+Talent

Senior Cloud Lead

Menlo Park, CA · Remote

$77.25 - $102.50/hr

SPIFFE / SPIRE Tekton Chains In-Toto eBPF SLSA Frameworks Protocol Engineering (L1/L2) MEV ... Familiarity with blockchain observability, threat detection, and decentralized governance. Security ...

KBR

Senior Platform Engineer/Kubernetes SME

Carlsbad, CA · On-site

$187K - $225K/yr

Integrate network policy (eBPF/Cilium), secrets management, RBAC/ABAC, and policydriven automation across environments * Stand up observability (metrics/logs/traces) and SLO monitoring; drive ...

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How much do observability ebpf jobs pay per hour?

As of Jun 5, 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.

How does an Observability eBPF engineer typically collaborate with development and operations teams?

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.

What is an Observability eBPF Engineer?

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.

What are the key skills and qualifications needed to thrive as an Observability eBPF Engineer, and why are they important?

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.
Infographic showing various Observability Ebpf job openings in the United States as of May 2026, with employment types broken down into 97% Full Time, and 3% Contract. Highlights an 80% Physical, 7% Hybrid, and 13% Remote job distribution, with an average salary of $125,908 per year, or $60.5 per hour.

Tech Lead - Network Observability

Clockwork.io

Palo Alto, CA • On-site

$180K - $260K/yr

Full-time

Posted 5 days ago

Job description

About Clockwork Systems
Clockwork.io - Software Driven Fabrics to increase GPU cluster utilization
Clockwork Systems was founded by Stanford researchers and veteran systems engineers who share a vision for redefining the foundations of distributed computing. As AI workloads grow increasingly complex, traditional infrastructure struggles to meet the demands of performance, reliability, and precise coordination. Clockwork is pioneering a software-driven approach to AI fabrics by delivering cross-stack observability to catch and quickly resolve problems, workload fault tolerance to keep jobs running through failures, and performance acceleration that dynamically routes and paces traffic to avoid congestion.
To learn more, visit www.clockwork.io.
About the Role
We are seeking an experienced Tech Lead to lead the architecture, development, and scaling of a high-performance network monitoring and observability platform. This role will focus on building systems that provide deep visibility into RDMA, RoCE, InfiniBand, and TCP/IP networks. The ideal candidate has strong experience in distributed systems, Linux networking, and modern observability stacks (e.g., Grafana/Prometheus).
What You Will Do
  • Lead architecture, design, and development of scalable network monitoring platforms for high-performance RDMA, RoCE, InfiniBand, and TCP/IP infrastructure.
  • Build backend telemetry services, observability dashboards, alerts, diagnostics, anomaly detection, SLA monitoring, and traffic analysis workflows.
  • Troubleshoot complex production issues across application, OS, server, RDMA, and network layers while optimizing low-latency collection, aggregation, and alerting.
  • Establish engineering standards, drive automation, define technical roadmaps with cross-functional teams, and mentor engineers on distributed systems and high-performance networking best practices.
What We're Looking For
  • Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field.
  • Strong hands-on programming experience in C++, Go, Python, Rust, or similar systems programming languages.
  • Proven experience leading engineering teams, major technical initiatives, or complex infrastructure projects.
  • Experience building distributed systems, backend services, telemetry pipelines, or observability platforms.
  • Hands-on experience with RDMA, RoCE, InfiniBand, or other high-performance network fabrics.
  • Familiarity with libibverbs, RDMA verbs, RDMA CM, queue pairs, completion queues, memory registration, and related RDMA concepts.
  • Strong knowledge of Linux networking, TCP/IP, DNS, HTTP, routing, MTU, congestion control, packet loss, latency, and performance tuning.
  • Experience with traceroute-style diagnostics, path discovery, network reachability checks, synthetic probes, or active network measurements.
  • Experience with monitoring and visualization platforms such as Prometheus, Grafana, Datadog, Splunk, OpenTelemetry, or similar tools.
  • Strong debugging skills across software, operating system, server, and network layers.
  • Experience operating production systems in Linux-based environments.
  • Strong architectural judgment and ability to design systems for reliability, scalability, and operational simplicity.
Nice to Have
  • Experience supporting AI/ML, HPC, storage, or GPU cluster infrastructure workloads.
  • Experience with large-scale RoCE or InfiniBand deployments.
  • Experience with NCCL, distributed training infrastructure, or AI cluster diagnostics.
  • Experience with eBPF, XDP, DPDK, perf, tcpdump, Wireshark, ethtool, iproute2, rdma-core, or Linux kernel networking tools.
  • Experience with cloud infrastructure on AWS, GCP, or Azure.
  • Experience with Kubernetes, service discovery, configuration management, and infrastructure automation.
  • Knowledge of security, compliance, and infrastructure best practices.
  • Experience designing time-series data systems, alerting pipelines, or high-cardinality telemetry platforms.

Enjoy
  • Challenging projects.
  • A friendly and inclusive workplace culture.
  • Competitive compensation.
  • A great benefits package.
  • Catered lunch.

Compensation for this position will vary based on the skills and experience you bring, as well as internal equity considerations. For candidates hired at the posted level, the expected base salary range is $180,000 - $260,000. The offered compensation package may also include stock options or other equity awards, subject to Clockwork's equity program and applicable approvals
In addition to cash compensation, this role is eligible to participate in the company's equity program, which may include stock options granted in accordance with the company's equity plan and subject to approval and applicable vesting schedules.
Clockwork Systems is an equal opportunity employer. We are committed to building world-class teams by welcoming bright, passionate individuals from all backgrounds. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, religion, age, sex, sexual orientation, gender identity or expression, national origin, disability, or protected veteran status. We believe diversity drives innovation, and we grow stronger together.

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