DevOps / Platform Engineer

COMO is building the future of cyber resilience. Our AI-native platform helps organizations understand their ability to recover from cyberattacks, identify critical gaps and dependencies, and prepare for what happens after an attack. Backed by a significant seed round led by General Catalyst, with a live product and paying customers, we're building an exceptional team to define a new category in cybersecurity.

We're hiring our first DevOps / Platform Engineer to own the infrastructure that is the product. At COMO, customers experience our infrastructure directly: isolated restore-test environments, on-prem collector delivery, and multi-tenant SaaS isolation. You'll build the platform from scratch across AWS and Azure and make the architecture decisions, while routine ops stays with a managed service.

• →

  Build and own our core platform: Kubernetes, Kafka, databases, observability, and the CI/CD and workflow tooling the team ships on

• →

  Design and build product-critical infrastructure: isolated restore-test environments in customer cloud accounts, on-prem collector delivery, and multi-tenant SaaS isolation

• →

  Set the infrastructure architecture across AWS and Azure and own reliability, security boundaries, and cost

• →

  Define the split with our managed-service provider: routine operations stay with them, architecture and everything customer-facing stays with you

• →

  Work closely with Backend and Data Engineering on the infrastructure their pipelines and agentic workloads need

• 5+ years of experience in a DevOps, Platform, or SRE role, including building infrastructure from scratch, not only operating existing systems

• Hands-on production experience with both AWS and Azure

• Kubernetes (EKS) and Kafka in production

• Strong Infrastructure as Code experience (Terraform / OpenTofu)

• Experience owning infrastructure as a first or early infra hire, or in a clearly solo domain

• Strong security and tenancy instincts: customer data isolation, least-privilege access, blast-radius thinking

• Experience with Argo Workflows - advantage

• Experience with data-pipeline infrastructure (Spark or a similar batch / stream engine) - advantage

• On-prem delivery experience - advantage

AWS, Azure, Kubernetes (EKS), Kafka, PostgreSQL, Terraform / OpenTofu, Argo Workflows, with an AI-native workflow throughout.