---
title: 'Kubernetes Researcher at PointFive'
canonical: 'https://feeny.ai/job/kubernetes-researcher-pointfive-tel-aviv-1v6s6q3ev3a1'
type: 'job'
last_seen: '2026-11-11'
---

# Kubernetes Researcher at PointFive

- **Company:** PointFive
- **Location:** Tel Aviv, Israel
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-10-18
- **Last confirmed live:** 2026-11-11
- **Apply:** https://jobs.ashbyhq.com/pointfive/2062e5c3-e123-40f4-b283-977773e08fbc

## Job description

## About PointFive

PointFive finds the cost buried inside enterprise infrastructure, from the cloud to coding agents. We pioneered DeepWaste across cloud and data platforms, and we are now doing the same for AI token spend with TokenShift. Fanatics, H&M, Hertz, Nubank, Citizens Bank and other Fortune 500 companies use PointFive to see and cut what their infrastructure and AI actually cost. We have raised $96 million, most recently a [$60 million Series B led by Accel](https://www.pointfive.co/press/pointfive-raises-60m-series-b). Engineering sits in Tel Aviv and our go-to-market team is focused on North America. PointFive Labs, our research arm, publishes original work on how infrastructure and AI actually get paid for. [CRN named us one of the 10 hottest cloud computing startups of 2026](https://www.crn.com/news/cloud/2026/the-10-hottest-cloud-computing-startups-of-2026-so-far?page=9), [Forbes Israel put us on its Next Billion Dollar Startups list](https://forbes.co.il/rankings/2025nextbilliondollarstartups/), and [Redpoint selected us for its InfraRed 100](https://www.pointfive.co/press/pointfive-infrared-100), its ranking of the private companies shaping the future of cloud infrastructure.

## The Role

We're looking for a researcher who has run real production workloads on Kubernetes and wants to turn that experience into detections that thousands of engineers will trust. You'll own Kubernetes cost efficiency end to end: it starts with "this looks expensive," moves through real billing, metrics and inventory data, and finishes with a shipped detection that gets adopted by verity of engineering teams who act on it. This role sits at the junction of research, product and engineering: you pick the problem, prove it against real customer data, and take it to production. You’ll set the standard and best practices for k8s efficiency. The detections you develop will run in a variety of complex Kubernetes environments across the planet, and engineering teams everywhere will build on what you discover.

## What You'll Do

- Research and ship new Kubernetes detections. Find optimization opportunities, prove them against real customer data
- Lead the Kubernetes domain end to end: the detection library and build the road map to maximize value.
- Work hand-in-hand with engineering, and go deep wherever the problem takes you: Kubernetes internals, cloud provider APIs, billing systems, data pipelines. This is a technical role, not a research-only one.
- Bring domain expertise into pre-sales and post-sales processes, directly and tightly working with prospects to maximize value
- Publish thought-leadership content on Kubernetes cost efficiency: blog posts, white papers, OSS, webinars or live sessions.

Must Have

- 3+ years running production workloads on Kubernetes (EKS, GKE or AKS) as an SRE, platform, DevOps or infrastructure engineer. You've been on-call for it, and you know how requests and limits drive scheduling and pod packing, how the cluster autoscaler and Karpenter behave under real load, why a node group's minimum size is set where it is, and what breaks when you change instance architecture or generation.
- Independent and comfortable owning a ambiguity problem e2e from first hypothesis to shipped detection.
- Ability to orchestrate engineering work: translate research findings into clear technical requirements, align priorities with engineering teams, and coordinate delivery through to production.
- Deep, hands-on AWS knowledge (EC2, EKS, ECR, networking, Savings Plans, RIs, and more), and working knowledge of Azure or GCP.
- Strong quantitative skills: analytics, statistics, modeling. You can take complex, unstructured data, build the right model or calculation for it, and know exactly why the numbers hold up.
- A skeptical, evidence-first mindset: you look for the reason a recommendation is wrong before you look for the reason it's right.
- Clear communication skills. You can explain a technical finding and its business impact to different stakeholders.

## Nice to Have

- Experience running AI/ML infrastructure: GPU node pools, inference serving, or managed model platforms (Bedrock, Azure OpenAI, Vertex AI), including per-token and provisioned-throughput pricing.
- Hands-on FinOps experience: AWS CUR, Split Cost Allocation Data, FOCUS, cost allocation and chargeback.
- Hands-on experience in dbt, Snowflake, GO
- Experience with ARM/Graviton migrations or large-scale rightsizing programs.
- Data platform experience (Databricks, Snowflake, BigQuery).
- Published technical research artifacts (blog/white papers/OSS) or experience in public speaking (conferences, meetups).
- Contributions to related open-source projects.
- Prior cloud security research experience.
- Academic background

Success in Your First 6 Months

- You own Kubernetes cost efficiency as an area and have shipped several new detections in it.
- Customer teams have reviewed, approved and implemented your recommendations across their environments, and the findings held.

## Why Join

- Your work reaches engineering teams that spend millions a month on cloud, and they act on it.
- You'll work with real cost, inventory and metrics data from hundreds of production environments on every major cloud, so you'll see patterns no single company sees.
- A small research team with high ownership: you pick the problem, prove it, and solve it.
- Go deep You will study Kubernetes environments in full depth. You will define the best practices other teams follow.
- A unique opportunity. No other company gives you this exact mix: real Kubernetes research, production-scale data, and direct customer impact.

## About PointFive

## Company Overview
- **One-liner**: PointFive is an AI-powered cloud and AI efficiency platform that autonomously detects deep infrastructure waste and remediates it through engineering-native workflows.
- **Entity Type**: Private (Seed & Series A funded)
- **Headquarters**: New York City, New York, United States (with offices in Tel Aviv, London, Denver, and Boston)
- **Founded**: 2023
- **Founders**: Alon Arvatz (CEO), Amir Hozez (CTO), Gal Ben David (CPO)

## Core Business
- **Primary industry**: Cloud & AI Efficiency Management / FinOps / Infrastructure Optimization
- **Target customers**: B2B, Enterprise, Engineering and FinOps teams at mid-to-large scale cloud-native companies
- **Mission/purpose**: "To enable continuous cloud cost efficiency through deeper detection and collaborative remediation tools that integrate seamlessly with teams' natural workflows." PointFive aims to change the typical cloud operating efficiency from 66% to near-100% by making cost efficiency a core engineering principle.

## Products & Services
- **Cloud Efficiency Platform (Core)**: A SaaS platform that connects read-only to AWS, Azure, GCP, Kubernetes, Snowflake, and Databricks. It uses DeepWaste™ detection (400+ detection types) to surface hidden waste and provides agentic remediation — drafting PRs, opening Jira tickets, routing owners via Slack, and verifying fixes land in production.
- **TokenShift (AI Spend Governance)**: An extension that governs and accounts for every token used by coding agents in the IDE. It attributes AI coding-agent spend to specific teams and repos, enforces model and budget compliance, and provides a unified governance posture from cloud to coding agent.
- **Remediation Workflow Engine**: Automates the full loop — from finding waste, to drafting Terraform/Kubernetes-native fixes, to owner routing (via Git blame + service catalog), to tracking realized savings back to the FinOps ledger.
- **Unit-Economics Ledger**: Provides board-ready views of $/inference, $/customer, $/ARR, and other unit metrics with a full audit trail (SOC 2 Type II, ISO 27001).

## Market Standing
- **Total Funding**: $36M across two rounds
  - Seed Round (June 2024): $16M led by Index Ventures
  - Series A (November 2024): $20M led by Salesforce Ventures and Ironwood Ventures
- **Key Metric**: $50M+ in savings identified across customer environments; 1,200%+ customer ROI; 4.9 ★ rating on G2
- **Notable Investors/Partners**: Index Ventures, Salesforce Ventures, Ironwood Ventures
- **Growth Signals**: 
  - 111 employees (+70.7% YoY, +53 people)
  - Operating in 5 countries (Israel, USA, UK, Switzerland, Canada)
  - 17 active job postings (postings up 1600% YoY)
  - 6,623 LinkedIn followers (+82.3% YoY)
  - Proven at scale with customers like Nubank (10 days to value), Elastic, and Blackhawk Network
  - LinkedIn talent sources include Amazon Web Services, Rapid7, Check Point Software, and IBM Kubecost

## Competitive Advantages
- **DeepWaste™ Detection**: Goes beyond utilization-based detection — correlates configuration, telemetry, and code to surface *why* a resource is wasteful, not just that it is. Covers 400+ detection types across 6 cloud/data platforms.
- **Agentic Remediation**: Unlike legacy FinOps tools that stop at dashboards and spreadsheets, PointFive autonomously drafts and merges fixes (Terraform PRs, Jira tickets, Slack routing) and verifies them in production — turning insights into realized savings.
- **InfraFabric™ Graph**: Proprietary infrastructure dependency graph that maps ownership, context, and relationships across the entire cloud estate without agents or data-plane access.
- **Cloud-to-Coding-Agent Governance**: The only platform that follows AI waste from the cloud all the way to the IDE, covering both infrastructure and AI coding-agent spend in one unified posture.
- **Engineering-Native Workflow**: Findings appear where engineers already work (Slack, Jira, as drafted PRs) with effort estimates and rollback paths included — making cost optimization a code-review concern, not a quarterly fire drill.

## Strategic Focus
- **Product Expansion**: Deepening AI spend governance (TokenShift) and extending detection/remediation across more cloud services and data platforms.
- **Go-to-Market**: Scaling enterprise sales in the US (West, East), UK/EMEA, and expanding the field sales and solutions engineering teams.
- **Hiring Momentum**: Actively growing the team — 17 open roles across Engineering, Sales, Marketing, Research, and IT — with a focus on senior talent and leadership hires.
- **Category Creation**: Establishing "Cloud & AI Efficiency Management" as a new category distinct from legacy FinOps dashboards, with a strong emphasis on autonomous remediation and realized savings.

## Why Work Here
- **High-growth environment**: 70%+ YoY headcount growth, $36M in funding from top-tier VCs, and proven product-market fit with major enterprise customers.
- **Engineering culture**: The platform itself is built for engineers, and the company's values — "Prioritize Efficiency," "Raise the Bar," "Trust Each Other," "Stay Humble" — reflect a deep technical and collaborative ethos.
- **Remote/hybrid policy**: Multiple office locations (New York, Tel Aviv, London, Denver, Boston) with a distributed team across 5 countries; roles span in-office, hybrid, and remote depending on location and function.
- **Notable perks/culture**:
  - "Cost as a code-review concern" — engineers get to work on a product that genuinely delights other engineers
  - Fast-paced startup with significant ownership and impact from day one
  - Strong Israeli engineering presence (53% of workforce in Israel) with deep cloud/infra expertise
  - Leadership team includes serial entrepreneurs and veterans from cloud/infrastructure companies
  - Recent hires from AWS, Rapid7, Check Point, and Kubecost — strong talent density
- **Active roles**: Staff Backend Engineer, Staff Frontend Engineer, Business AI Engineer, Enterprise Account Executives (multiple regions), Director of Global Solutions Engineering, Inside Sales, SDR, Product Marketing, Brand & Creative, and more.

## Sources
1. [PointFive Website](https://www.pointfive.co/)
2. [PointFive Careers Page](https://jobs.ashbyhq.com/pointfive)
3. [PointFive About Page](https://www.pointfive.co/about)
4. [PointFive LinkedIn](https://www.linkedin.com/company/pointfive-us)
5. [Tracxn Company Profile](https://tracxn.com/d/companies/pointfive/__gEFj1ptC_oL8LB-nwyoGrueGMTGZ-7ciAetTjgZ_SvY)

## Other roles at PointFive

- [Enterprise Sales Development Representative](https://feeny.ai/job/enterprise-sales-development-representative-pointfive-denver-9jsj4499nccn) — Denver, CO
- [Technical Support Lead](https://feeny.ai/job/technical-support-lead-pointfive-new-york-60n716542w8s) — New York, NY
- [Social & Content Lead](https://feeny.ai/job/social-content-lead-pointfive-tel-aviv-q5mdmrxzxpax) — Tel Aviv, Israel
- [Senior Bookkeeper](https://feeny.ai/job/senior-bookkeeper-pointfive-tel-aviv-76pvfce1nfyn) — Tel Aviv, Israel
- [Senior Product Manager](https://feeny.ai/job/senior-product-manager-pointfive-tel-aviv-2vwrcpkq60gf) — Tel Aviv, Israel
- [Lead Endpoint Researcher](https://feeny.ai/job/lead-endpoint-researcher-pointfive-tel-aviv-7t2rgbeb0jhc) — Tel Aviv, Israel
- [Staff Backend Engineer](https://feeny.ai/job/staff-backend-engineer-pointfive-tel-aviv-tr2g7ngpvhj4) — Tel Aviv, Israel
- [Senior Software Engineer - Endpoint](https://feeny.ai/job/senior-software-engineer-endpoint-pointfive-tel-aviv-mk3c4nrfdsec) — Tel Aviv, Israel
- [Enterprise Sales Development Representative](https://feeny.ai/job/enterprise-sales-development-representative-pointfive-boston-fjsner85c8yw) — Boston, MA
- [Backend Tech Lead](https://feeny.ai/job/backend-tech-lead-pointfive-tel-aviv-2mdxkd7a3q7g) — Tel Aviv, Israel