Senior Cloud/ML Ops Engineer

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]

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 an Cloud/MLOps Engineer as part of Infrastructure team to:

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

Who? We need someone who has:

• 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.)

• 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

This isn’t a “keep the lights on” role. You’ll be building the system that keeps the company running. In addition to helping us run a solid, high-performance distributed system, we’d love someone who’s as excited about LLMs as we are. You’d be deeply embedded into the engineering team and highly encouraged to push the frontiers.

Every major business has an in-house legal team, and all of those lawyers are overworked. 80 hour weeks, tight deadlines and contract-reading death marches are the industry norm. Up until recently, there wasn’t anything technology could do to help this situation.

LLMs have given us the ability to give these lawyers their lives back, and at Ivo, that’s our mission.

We’re building an AI-native platform to automate legal drudgery. People love our software - despite high competition, we have the highest trial win rate on the market (85%). We’re genuinely improving people’s lives, and we’re only just getting started.

• You love writing code, but you love having impact more: We’re a team of engineers at heart, but our #1 goal is building the best possible product. That means making pragmatic choices and looking for 80/20 solutions.

• Would describe yourself as being relentlessly resourceful.

• You have a strong internal sense of urgency. You have a bias towards doing things *today*, rather than tomorrow.

• Experience working in a startup environment is preferred but not required.

• Are excited about the adventure of building a company!

• How far along are we? We launched in early access in 2023. Since then, we’ve had an incredible response from the market and are growing rapidly. We 6x'd in ARR in the last 12 months. Our clients include companies like Uber, Reddit, IBM, Canva, Pinterest, WordPress, and more. We're happy to share more details with candidates who go through our interview process.

• Can I work remotely? We have an in-office culture, with some hybrid flexibility.

• Compensation: The USD salary range for this role is $250K-$325K. Final offer amounts are determined by multiple factors, including, experience and expertise, and may vary from the amounts listed above.