Senior Cloud​/ML Ops Engineer

The Role:

Why, What and the Who

Infrastructure Engineers build the foundation for Ivo’s entire platform. Customers are cagey about their contracts, so each customer gets an isolated environment with containers, database, VPC, etc. Things break; regions go down; cloud and LLM providers have incidents. Customers still expect us to hit our SLAs.

Infrastructure Engineers build the foundation for Ivo’s entire platform. Customers are cagey about their contracts, so each customer gets an isolated environment with containers, database, VPC, etc. Things break; regions go down; cloud and LLM providers have incidents. Customers still expect us to hit our SLAs.

• Own and evolve our Kubernetes platform across AWS, GCP, and Azure.
• Design and operate multi‑cluster, multi‑region architectures with failover and disaster recovery strategies adhering to secure cluster isolation boundaries.
• Build internal tooling for cluster provisioning and lifecycle management, standardizing environments (dev → staging → prod).
• Design strategies to isolate ML vs API workloads while optimizing for cost, performance, and reliability.
• Implement security and compliance controls at the platform layer with RBAC, workload identity, secrets management while preserving data isolation aligned with residency requirements and auditability for enterprise customers.
• Partner with SRE and ML teams to ensure realistic and enforceable SLOs and to deploy models in production environments.

• Deep, hands‑on experience with Kubernetes in production (debugging it at 2 a.m., not just deploying).
• Strong experience with infrastructure as code (Pulumi, Terraform, etc.).
• Strong understanding of cluster architecture, scheduling, networking, storage primitives, and failure modes in distributed systems.
• Experience managing multi‑cluster or multi‑region setups with Git Hub CI/CD.

• You love writing code, but you love having impact more: building a great product and making pragmatic choices.
• You describe yourself as relentlessly resourceful.
• You have a strong internal sense of urgency and a bias toward doing things today, not tomorrow.
• Experience working in a startup environment is preferred but not required.
• Are excited about the adventure of building a company!