Чётко описанная руководящая роль в быстрорастущей компании в сфере AI-инфраструктуры: в зоне ответственности ключевая Kubernetes-платформа и работа с разными командами. Главный компромисс - обязательное присутствие в офисе четыре дня в неделю.
Четыре дня в офисе
Современная платформа
Чёткая зона ответственности
AI-инфраструктура
Оплата выше рынка
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Engineering Manager, Kubernetes Platform (LKS) (Kubernetes/AI Infrastructure): Building and leading the customer-facing Kubernetes platform for AI training and inference on Lambda infrastructure with an accent on cluster runtime, managed add-ons, and workload orchestration. Focus on defining platform strategy, integrating GPU and networking capabilities, and delivering reliable cluster lifecycle management across infrastructure teams.
Location: Hybrid; presence required four days per week at the San Francisco, San Jose, or Bellevue office. Tuesday is the designated work-from-home day.
Salary: $330,000–$440,000 annually in San Francisco or San Jose; $297,000–$396,000 annually in Bellevue.
Company
Lambda builds AI cloud infrastructure for AI researchers, enterprises, and hyperscalers, with a mission to make compute broadly accessible.
What you will do
Build and lead the LKS engineering team, hire engineers, develop technical leaders, and establish high standards for ownership and quality.
Define the technical strategy and roadmap for Kubernetes platform capabilities and runtime.
Deliver a reliable baseline cluster experience using upstream, CNCF-conformant Kubernetes.
Own the qualification, compatibility, release lifecycle, and customer choice of managed add-ons.
Build AI workload capabilities, starting with Slurm through Slinky and evaluating orchestration options such as Volcano and LLMD.
Partner with Hosted Control Plane, Compute, Networking, Storage, IAM, Security, and Product teams on lifecycle management, upgrades, incident response, and secure integrations.
Requirements
9+ years of software engineering experience, including 3+ years leading engineering teams.
Experience building or operating Kubernetes platforms, managed Kubernetes services, or container infrastructure.
Strong technical judgment across Kubernetes, platform APIs, operators, and cluster lifecycle.
Ability to balance extensibility, compatibility, security, reliability, and customer experience.
Experience building strong teams and collaborating across engineering, product, and infrastructure organizations.
Clear communication skills and the ability to turn ambiguous needs into pragmatic plans and results.
BS, MS, or PhD in Computer Science or a related field, or equivalent practical experience.
Nice to have
Experience with GPU operators, AI infrastructure, or GPU-aware Kubernetes.
Experience with Slurm, Slinky, Volcano, LLMD, Kueue, Ray, or similar orchestration systems.
Experience with Kubernetes networking, storage, upgrades, or managed add-on catalogs.
Culture & Benefits
Full-time role with generous 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 plan.
Будьте осторожны
Если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого. Это мошенники. Обязательно жмите «Пожаловаться» или пишите в поддержку. Подробнее в гайде →