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Salary
≈ $76k – $223k per year (Estimated)
Location
In office (Tel Aviv)
Seniority
Senior · 5+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 16, 2026. First seen by Alion on Dec 31, 2025. Mind scores B on the Alion truth index.

Overview
Company
Impact
Profile match
MIND data security platform puts data loss prevention (DLP) and insider risk management (IRM) on autopilot - automatically identify, detect & prevent data leaks.

Description

At MIND, we're building the future of intelligent data protection. We help organizations protect their most sensitive information in the AI era-automatically. As the first data security platform that puts data loss prevention and insider risk management on autopilot, we're making protection smarter, simpler and more precise.

We're growing quickly, backed by industry leaders and trusted by innovative companies to secure data across SaaS apps, Gen AI tools and hybrid endpoints.

We solve complex problems with simplicity and creativity. Our team is made up of passionate builders who care deeply, think critically and want to make a meaningful impact. If you’re ready to mind what matters with us, we’d love to meet you.

We’re hiring a Senior Backend Engineer to join our R&D team. In this role, you’ll architect and maintain the distributed systems behind MIND’s data protection engine. Our stack includes Golang, GCP, Kubernetes and Temporal for orchestration, with CI/CD powered by GitHub Actions, Dagger and FluxCD.

Responsibility

What you will do?

  • End-to-end development of backend software components (research, tech spec, development, testing, rollout, and monitoring)
  • Drive tech decisions via tech spec and code reviews
  • Work closely with product, frontend, and DevOps to deliver amazing features
  • Lead projects and mentor new team members

Requirements

What should you bring to the table?

  • 5+ years of experience with backend engineering for production systems
  • Experience with cloud-native development (containers, cloud providers, k8s, etc.)
  • Experience with continuous integration and deployment (CI/CD)
  • Experience with observability technologies (Prometheus, OpenTelemetry, etc.)
  • Strong collaboration and communication skills

Bonus points:

  • Understanding of LLM and agentic AI principles
  • Hands-on experience in fine-tuning ML models
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