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Open nowPosted 18 hours ago

AI Platform Team Lead

ScaleOps57 open roles

Where
Tel Aviv
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Your applicationOpen nowAI Platform Team LeadScaleOps · Tel Aviv

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on ScaleOps's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. ScaleOps postings stay open a median of 29 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.7%14 days
  5. 35.6%30 days
  6. 58.0%60 days
This job: posted 18 hours ago

ScaleOps median: 29 days open

The posting

ScaleOps is redefining autonomous cloud and AI infrastructure. We're on a mission to free DevOps and platform engineers from manual resource management so they can focus on innovation, not tuning resources. The results: maximized performance and a reduction of cloud costs by up to 80%.

As the category leader in Autonomous Cloud and AI Infrastructure Resource Management, we're trusted by leading enterprises including Adobe, Wiz, Epic Games, Northwestern Mutual, Coinbase, DocuSign, and Fortune 100 companies to autonomously manage their most critical production environments.

Backed by Insight Partners, Lightspeed Venture Partners, and other leading VCs with over $210M in funding, ScaleOps is the leading player in a massive and growing market. We are building the autonomous infrastructure management platform that will power the next decade of enterprise compute.

What You'll Be Doing

  • Lead the AI Platform team: own the internal platform ScaleOps R&D builds on, including CI/CD, Kubernetes tooling, developer experience, and infrastructure automation
  • Stay hands-on while leading the team day to day: delivery, technical decisions, and hiring
  • Build and connect AI tools for R&D and the company, and bring new tools and best practices from the market into how we build the product
  • Build infrastructure for the other R&D teams, from internal agentic platforms to the foundations that LLM-powered automation runs on
  • Partner closely with backend, product, and R&D teams, and treat engineers as your customers: measure adoption and time saved
  • Identify and eliminate friction in the development lifecycle through automation and self-service tooling

What You'll Bring

  • 5+ years of hands-on experience in platform engineering, infrastructure, or AI/ML infrastructure in high-scale environments
  • 2+ years of proven experience leading software engineering initiatives and mentoring engineers in a production environment
  • Experience building self-service platforms or tooling that other engineers adopted
  • Strong hands-on experience with Kubernetes, cloud (AWS, GCP, or Azure), and infrastructure-as-code
  • Strong development skills: you have written production code, ideally Go, such as Kubernetes operators or controllers
  • A builder mindset, strong ownership, and curiosity about the AI market and its tooling
  • Full professional fluency in Hebrew and English (ב-US: “Full professional fluency in English”)
  • (Nice to have) Open-source contributions in the cloud-native space (Karpenter, Cilium, KEDA, Argo, Kueue)
  • (Nice to have) Experience with LLM serving, agentic frameworks, or MCP-based tooling
  • (Nice to have) Experience with scheduling, node lifecycle, or resource management in Kubernetes
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    Written against ScaleOps's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

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    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on ScaleOps's form

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    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

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