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HomeCompaniesClockwork.ioTech Lead – Network Observability

Tech Lead – Network Observability

Clockwork.io · Onsite Palo Alto, California · On Site · Active · $180,000–$260,000 / year · Greenhouse

Job facts

FieldValue
CompanyClockwork.io
TitleTech Lead – Network Observability
Normalized title-
Department / team-
LocationPalo Alto, CA, United States
Work modelOn Site / On Site
Employment type-
Salary$180,000–$260,000 / year
Statusactive
ATS providerGreenhouse
Posted / first seen2026-05-02 / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Clockwork.io.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Palo Alto.Open
Work model jobsActive On Site postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyClockwork.io
Source37e0b06a-32be-4870-a564-4d75112763d5
ATS providerGreenhouse

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.

Full job record

Job ID3b993fbf8af22d70edc590d286be12d2d81ad7f0
Org ID883cebc4-1e39-4b87-bc43-e4eea324727c
Source ID37e0b06a-32be-4870-a564-4d75112763d5
Board ID37e0b06a-32be-4870-a564-4d75112763d5
Providergreenhouse
Provider Job Key5986912004
TitleTech Lead – Network Observability
Normalized Title
Statusactive
Activeyes
Location TextOnsite Palo Alto, California
Department
Team
Employment Type
Workplace Typeon_site
Remote Policyon_site
CountryUnited States
RegionCA
CityPalo Alto
Salary Rawsalary range is $180,000 - $260,000. The offered compensation package may also include stock options or other equity
Salary Min180,000
Salary Max260,000
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://job-boards.greenhouse.io/clockworksystems/jobs/5986912004
Apply URLhttps://job-boards.greenhouse.io/clockworksystems/jobs/5986912004
First Seen At2026-05-29 22:40:31Z
Last Seen At2026-06-06 19:56:06Z
Last Checked At2026-06-06 19:56:06Z
Last Changed At2026-05-29 22:40:31Z
Inactive At
Source Posted At2026-05-02 00:56:12Z
Source Updated At2026-05-05 05:01:36Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=clockworksystems/date=2026-06-06/2026-06-06T19-56-05-997Z-3d875074501f81ca75342f81f4c22b7a6a0d20272f1a4e7e4bec3ce7fe2a8622.json
Event Fields
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  "active_status": "active"
}
Parsed Structured
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    "countries": [
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    ]
  },
  "remote_policy": "on_site",
  "salary_period": "year",
  "workplace_type": "on_site",
  "salary_currency": "USD"
}
Extensions
{}
Native Structured
{
  "title": "Tech Lead – Network Observability",
  "offices": [],
  "language": "en",
  "location": {
    "name": "Onsite Palo Alto, California"
  },
  "metadata": [],
  "updated_at": "2026-05-05T01:01:36-04:00",
  "departments": [],
  "company_name": "Clockwork.io",
  "requisition_id": 5149671004,
  "first_published": "2026-05-01T20:56:12-04:00",
  "application_deadline": null
}
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