Senior Platform Engineer
Mind Security Inc.
- Location
- Onsite (Tel Aviv-Yafo, Tel Aviv District)
- Employment
- Full-time
- Level
- Senior Level
About the role
MIND is an AI-native data security platform helping organizations protect sensitive information through automated data loss prevention and insider risk management. As a Senior Platform Engineer, you will architect scalable cloud infrastructure, optimize Kubernetes environments, and drive GenAI integrations to enhance developer velocity and platform capabilities.
Skills
Full job details
MIND is building the future of intelligent data protection. We help organizations automatically protect their most sensitive information in the AI era. As a data security platform that puts data loss prevention and insider risk management on autopilot, we make protection smarter, simpler, and more precise.
Backed by industry leaders and trusted by innovative companies, we secure data across SaaS applications, GenAI tools, and hybrid endpoints. If you’re excited by cutting-edge cloud technologies and want to make a meaningful 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 help shape MIND’s next-generation platform capabilities in AI by driving GenAI and MCP integrations that improve developer experience and engineering workflows, while contributing to the AI/ML/GenAI infrastructure and developer SDKs that power our platform.
This is an opportunity to work at the intersection of cloud infrastructure, DevX innovation, and cutting-edge AI systems.
Responsibility
What You’ll Do
- Design and operate scalable cloud infrastructure across GCP, AWS, and Azure.
- Build and operate Kubernetes clusters and supporting platform tools.
- Build and own CI/CD systems using GitHub Actions, Dagger, Argo CD, or similar technologies.
- Improve developer velocity through internal tooling and platform capabilities.
- Implement core product-infrastructure features, including authentication, authorization, and auditing.
- Decouple product services from infrastructure through internal SDKs for observability, databases, interceptors, and related capabilities.
- Define infrastructure, reliability, and operational standards across engineering.
- Drive GenAI and MCP integrations that improve developer experience and engineering workflows.
- Contribute to the AI/ML/GenAI infrastructure and developer SDKs that power MIND’s platform.
Requirements
- 5+ years of experience in backend or platform engineering within a product development team.
- Experience with cloud-native development, including containers, cloud providers, and Kubernetes.
- Experience designing and operating continuous integration and deployment (CI/CD) systems.
- Strong understanding of Linux systems, distributed architectures, and networking fundamentals.
- Familiarity with observability technologies such as OpenTelemetry and the Grafana stack.
- Excellent communication skills and a collaborative mindset.
Advantage
- Experience with Temporal, Terraform, Protocol Buffers (Protobuf), and Argo CD.
- Familiarity with security best practices, including cloud security, IAM, and secure infrastructure design.
- Experience with FinOps practices, including cloud cost optimization, monitoring, and resource governance.
- Hands-on experience with databases and data pipelines.
- Hands-on experience fine-tuning or deploying ML models.