Роль четко сфокусирована на промышленной автоматизации сетей в AI-инфраструктуре, с ответственностью senior-уровня и обозначенным дежурством.
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Оплата выше рынкаAI-инфраструктураПонятная зона ответственностиЧетыре дня в офисеДежурства
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
TL;DR
Senior Software Engineer (Network Automation): Design and operate software that automates network lifecycles, device provisioning, configuration deployment, capacity planning, and internal network-resource APIs with an accent on production infrastructure and distributed systems. Focus on building zero-touch deployment, infrastructure-as-code pipelines, source-of-truth integrations, observability, and reliable self-service tooling for AI data centers.
Location: Hybrid; presence required 4 days per week at the Bellevue or San Francisco office. Lambda's designated work-from-home day is Tuesday.
Annual salary: $284K–$378K.
Company
Lambda is an AI cloud infrastructure company serving AI researchers, enterprises, and hyperscalers, with a focus on large-scale GPU computing.
What you will do
Design, build, and operate software automating the network lifecycle from data center build-out and device provisioning through day-2 operations.
Build zero-touch provisioning and deployment systems for GPU-cluster network devices.
Develop network configuration-as-code pipelines with automated testing, staged rollouts, and safe rollback.
Build capacity-planning tools using inventory, topology, utilization, and time-series data to forecast infrastructure needs.
Integrate automation with source-of-truth, inventory, and IPAM systems, and create APIs, services, and CLIs for internal network-resource management.
Instrument owned systems with metrics, logging, and alerting; collaborate with Network Engineering, Data Center Operations, and platform teams; participate in on-call rotation.
Requirements
6+ years of professional software engineering experience building and operating production systems.
Production-quality coding skills and deep expertise in multiple programming languages.
Experience building automation or infrastructure tooling used by other engineers, such as provisioning systems, deployment pipelines, workflow engines, or internal APIs.
Solid understanding of distributed systems design, including API design, data modeling, idempotency, and handling partial failures.
Experience with code review, automated testing, CI/CD, and Git-based workflows.
Comfort with the Linux command line and understanding of TCP/IP, DNS, DHCP, VLANs, and IP routing.
Experience leading technical projects end to end, from design documentation through production rollout, and mentoring engineers.
Clear communication with software engineering, network engineering, and operations teams, including translating operational pain points into software requirements.
Nice to have
Networking experience, including data center networks, Clos/spine-leaf fabrics, BGP, EVPN/VXLAN, or ECMP.
Experience automating Arista, Juniper, Cisco, or NVIDIA Cumulus/SONiC devices through APIs, NETCONF/gNMI, or Jinja templating.
Familiarity with Ansible, Nornir, Netmiko, NAPALM, or Terraform.
Experience with network source-of-truth, DCIM, or IPAM systems.
Experience building capacity-planning or forecasting tools or working with large volumes of time-series telemetry.
Familiarity with HPC/AI networking, including InfiniBand or RoCEv2 at GPU-cluster scale; Kubernetes service operations; and data center power, space, and cooling constraints.
Culture & Benefits
Cash and equity compensation.
Health, dental, and vision coverage for employees and dependents.
Wellness and commuter stipends for select roles.
401(k) plan with a 2% company match for USA employees.
Flexible paid time off.
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