Key skills
JavaScriptTypeScriptPythonGoRustAILLMAgenticMLOpsData EngineeringAnalyticsNode.jsAWSAzureGCPTerraformKubernetesPulumiIAMGitOpsCachingSaaSCI/CDMentoringCommunicationNetwork Security
About this role
Cube is redefining how organizations deliver and automate data and analytics across teams and AI agents. As a Staff DevOps Engineer, you will set the technical direction for Cube Cloud's infrastructure and lead initiatives to enhance security, compliance, and developer productivity.
Responsibilities:
- Set the technical direction for the infrastructure that runs Cube Cloud and the agentic analytics platform behind it
- Own complex, high-impact initiatives end-to-end, from architecture to rollout, partnering with engineering leaders across the company and mentoring other engineers along the way
- Collaborate closely with engineering, security, and core platform teams to evolve our multi-cloud architecture, harden our agentic analytics runtime for production, and turn the toughest operational challenges into elegant, automated systems
- Design the infrastructure that makes AI-driven workloads fast, reliable, and safe, including LLM integrations, caching layers, pre-aggregations, and the observability story around them
- Drive the design decisions that make PaaS, hybrid, and self-hosted deployments first-class options for enterprise customers
- Lead improvements to CI/CD, build and release systems, ephemeral and staging environments, and internal developer platform to enhance developer velocity
- Lead initiatives across IAM, network security, secrets management, audit, incident response, and SLO practice, embedding these into the platform
Requirements:
- Deep understanding of major cloud environments (AWS, GCP, Azure), including networking, IAM, and managed services at scale
- Strong expertise with Kubernetes, operating, upgrading, and tuning production clusters in multi-tenant environments
- Strong experience with IaC tools such as Terraform, Pulumi, or similar, and modern GitOps workflows
- Solid background in designing and operating CI/CD systems and internal developer platforms
- Ability to write production-quality code in TypeScript/JavaScript, Python, Go, or similar
- Track record of leading large infrastructure initiatives end-to-end, influencing technical strategy, and mentoring other engineers
- Strong grasp of observability, incident response, and reliability engineering for distributed systems
- Good communication skills
- Previous startup experience or a genuine interest in working in a fast-moving company with a high level of ownership
- Strong knowledge of TypeScript and experience integrating with Node.js-based services
- Hands-on experience with Pulumi
- Experience writing code in Rust (Cube's core query engine is written in Rust)
- Experience operating multi-tenant SaaS platforms and supporting self-hosted / BYOC deployments
- Experience running infrastructure for AI/LLM workloads or building MLOps tooling
- Background in data engineering, analytics applications, or OLAP systems
- Compliance experience (SOC 2, HIPAA, ISO 27001)