Senior Platform Engineer

MIND is 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.

Backed by industry leaders and trusted by innovative companies, we secure data across SaaS apps, GenAI tools, and hybrid endpoints. If you're excited by cutting-edge cloud technologies and want to make a real impact, we’d love to meet you.

As a Senior Platform Engineer at MIND, you’ll architect and operate the core infrastructure that powers our real-time data protection platform. You’ll build scalable cloud systems, optimize Kubernetes environments, and improve developer velocity across engineering.

You’ll also play a key role in shaping MIND’s next-generation platform capabilities around AI:

• Driving GenAI/MCP (Model Context Protocol) integrations that enhance developer experience and workflows (DevX)
• Contributing to the AI/ML/GenAI infrastructure and developer SDKs powering our platform
  
  

• Design and orchestrate scalable cloud infrastructure on GCP/AWS/AZURE
• Build and operate Kubernetes clusters and supporting tools
• Build & Own CI/CD systems using GitHub Actions, Dagger, FluxCD, ArgoCD, or similar
• Increase development velocity with internal tooling
• Implement core product infrastructure features (authn/authz/auditing/etc.)
• Decouple product from infrastructure with an internal SDK (o11y/db/crypto/etc.)
• Define infrastructure and operational standards across engineering
• Drive GenAI/MCP (Model Context Protocol) integrations to enhance developer experience and engineering workflows (DevX)
• Contribute to AI/ML/GenAI infrastructure and developer SDKs powering MIND’s platform
• Shape next-generation capabilities at the intersection of cloud infrastructure, DevX innovation, and AI systems
  
  

• 5+ years of experience in backend, platform, or full-stack engineering within a product development team
• Experience with cloud-native development (containers, cloud providers, k8s, etc.)
• Experience with continuous integration and deployment (CI/CD)
• Strong understanding of Linux systems, distributed architectures, and networking fundamentals
• Familiarity with observability technologies (OpenTelemetry, Grafana Stack, etc..)
• Excellent communication skills and a collaborative mindset
  
  

• Experience with Temporal, Terraform, Protobuf
• Hands-on experience fine-tuning or deploying ML models
• Hands‑on experience deploying MCP clients/servers and integrating them into automated AI workflows.
• Contributing to GenAI/LLM/AI infrastructure and developer SDKs as part of the platform/infrastructure stack