Cloud Security Researcher

Upwind Security • English • Cloud Security • Python • SQL • 2 days ago
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Salary
≈ $89k – $206k per year (Estimated)
Location
Hybrid (Ramat Gan, Israel)
Seniority
Senior · 5+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 15, 2026. First seen by Alion on Oct 13, 2026.

Overview
Company
Impact
Profile match

Upwind Security

Upwind Security is a cloud security company headquartered in San Francisco that builds a cloud-native application protection platform (CNAPP) combining agentless scanning with eBPF-powered runtime sensors. The platform covers cloud security posture management, entitlements and data security posture, vulnerability and container security, API security and cloud detection and response, and the company was founded by the team behind Spot.io, which NetApp acquired. Its main engineering hub is in Ramat Gan, Israel, with sales and support teams in the US, UK, Singapore and Australia hiring account executives, security engineers, backend and frontend developers and support engineers.
upwind.io • HQ: San Francisco, United States • Vulnerability Management • Application Security • Cloud Security • 501-1000 employees
Tech stack of Upwind Security
Backed by Bessemer Venture Partners, Craft Ventures, Greylock

Description

Upwind is a next-generation cloud security platform that uses runtime context to identify and prioritize the risks that actually matter. Our eBPF-powered sensors and agentless posture discovery give us a unique view of cloud environments- from the first commit to the running workload

We're looking for a Cloud Security Researcher to join the platform research team. This is a chance to shape the platform end to end- expand what it sees, define how it thinks about risk, and build the AI systems that act on what it finds

What You'll Do

  • Integrate new systems and domains- from cloud to shift-left tooling and AI providers- model their data, analyze and enrich it with context from across the platform to generate meaningful insights
  • Map risk vectors, build threat models, and translate them into actionable posture recommendations
  • Define how the platform should reason about risk, advancing posture management beyond static rules toward dynamic approaches like graph traversal and reachability analysis
  • Shape how AI is applied on top of the platform's findings - from agentic systems for insight, context analysis, and remediation to smarter prioritization and prevention
  • Lead research initiatives end-to-end, working with product and engineering to turn them into shipped capabilities

Requirements

  • 5+ years in security research, cloud security, or DevSecOps
  • Hands-on experience with at least one major cloud provider (AWS, GCP, or Azure), including its identity and data services
  • Strong understanding of modern DevOps environments: CI/CD pipelines, Infrastructure-as-Code, containers, and Kubernetes
  • Hands-on coding skills (e.g., Python) and comfort with query languages (e.g., SQL) and reasoning about data flows.
  • Ability to own research initiatives end-to-end in a fast-moving environment
  • Excellent written and spoken English

Advantages

  • Experience building AI/LLM-based or agentic systems, or securing AI/ML pipelines
  • Experience with DSPM, data classification, or data security tooling
  • Background in supply chain security (SBOM, dependency and artifact security)
  • Open-source contributions, published research, or conference talks
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