Senior DevOps Platform Engineer- CTI

Description:

Every nation has data. Few can protect it. Fewer still can act on it.

Dream is the sovereign AI and national cyber-defense company for governments.

We help nations secure their most critical systems, connect fragmented information at a national scale, and turn their most sensitive data into decisions, all fully sovereign.

This is more than a job. It's a Dream job, where you'll work at a global scale alongside some of the best AI researchers, cyber operators, and government experts in the world.

We defend nations against the most advanced threats in the world with a national security suite that offers AI-native resilience against APTs with visibility, insights and mediation across Posture, CTI, and Detection & Response, all fully sovereign.

We're looking for a Senior Platform Engineer to join our CTI Group. We're a startup that builds a lot, so you'll work across a wide range of systems and tools, build new platforms and services, and have real influence over where the platform goes next.

You'll work on the platform behind our CTI products: the microservices running on Kubernetes, the cloud and on-prem environments around them, and the infrastructure behind the systems. There's a lot still to build, and you'll have a real say in what comes next.

• Own what you build end to end, from design through implementation to running it in production.
• Design and build the internal platforms, tools, and services other engineering teams rely on, and add new ones as we grow.
• Make architectural decisions across infrastructure, applications, networking, security, and data.
• Design, build, and maintain our cloud and on-prem environments.
• Build and operate the infrastructure behind our AI/ML systems at scale.
• Manage and evolve our Kubernetes environments.
• Build and maintain CI/CD pipelines, deployment automation, and Infrastructure-as-Code with Terraform.
• Build security into the platform, from IAM and secrets management to network policies.
• Set up the monitoring and observability that show us how the platform is doing.
• Design for scalability, availability, performance, and resilience in high-scale production systems.
• Apply Infrastructure-as-Code practices (Terraform) end to end.