Staff Cloud/ML Ops Engineer

Why Join Ivo?

The way agreements are reviewed hasn't changed in four thousand years - a human reads the whole thing and tries not to miss anything. Ivo is the contract intelligence platform of choice for companies like Uber, Meta, Canva, IBM, and Shopify. We recently raised our Series B and have grown 800% over the last 12 months.

Engineering at Ivo

Engineers at Ivo are inventors. Ivo was first-to-market with an AI agent that lives in MS Word and edits the document for you [2023]. Ditching imprecise embeddings models in favor of agentic RAG [2023]. Large-scale LLM-based legal fact extraction [2024]. A legal assistant that can search large contract databases, without sacrificing accuracy [2024]. Clustering legal documents descended from the same family [2025]. Automatic deviation analysis to locate buried risk in huge contract databases [2025]. Merging contracts with their amendments to make a time series of “composite” contracts (a customer actually cried when we showed her this) [2025].

The Role: Why, What and the Who

Why? Infrastructure Engineers build the foundation for Ivo’s entire platform. Customers are cagey about their contracts, so each customer gets their 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.

What? We’re looking for a Cloud/MLOps Engineer as part of the Infrastructure team to:

• Own and evolve our Kubernetes platform across AWS/GCP/Azure
• 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 + ML teams to ensure SLOs are realistic and enforceable and models are deployed in production environments

Who? We need someone who has:

• Minimum 7 years of experience
• Deep, hands-on experience with Kubernetes in production (you’ve debugged it at 2am, not just deployed to it)
• Strong experience with infrastructure as code (Pulumi, Terraform, etc.)
• A strong understanding of cluster architecture, scheduling, networking, storage primitives and failure modes in distributed systems
• Experience managing multi-cluster or multi-region setups with Github CI/CD

Qualifications

• Minimum 7 years of experience
• Deep, hands-on experience with Kubernetes in production
• Strong experience with infrastructure as code
• Strong understanding of cluster architecture, scheduling, networking, storage primitives and failure modes in distributed systems
• Experience managing multi-cluster or multi-region setups with Github CI/CD

What We Offer

• Competitive Compensation
• Equity
• Relocation and Visa Support
• Health & Wellness
• Flexible Spending & Insurance
• 401(k) Program
• Commuter Benefits
• Unlimited PTO
• Office Perks