Staff Infrastructure Engineer

• 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], This list isn’t a checklist, it’s a direction. We don’t need you to have done all of it - we need you excited to figure out the parts you haven’t.
• Run Kubernetes like it’s your own startup within the startup - own multi-cluster, multi-region deployments across AWS/GCP/Azure, with failover and disaster recovery that actually works when it matters (not just on paper)
• Build the tools that build our infra - internal tooling for spinning up and managing clusters, so dev-to-prod is consistent and nobody’s hand-crafting environments at 2am
• Figure out the right way to isolate workloads - ML vs. API traffic have very different needs; you’ll design the strategy that balances cost, performance, and reliability without over-engineering it
• Make security invisible, not annoying - RBAC, workload identity, secrets management, data residency, audit trails. Enterprise customers need to trust us; product velocity shouldn’t suffer for it
• Set SLOs that don’t lie - define targets that are real, enforceable, and won’t page you at 3am for nothing. Hold teams (including yourself) to them
• Own the pipes - GitHub Actions for CI/CD, Pulumi for infra as code. If it ships, you had a hand in it
• Keep Docker environments sane - across dev, staging, and prod, so “works on my machine” stops being a punchline
• Go wherever the bug is - APIs, workers, jobs, frontend builds and performance. You’re not siloed to “infra”; you debug end-to-end
• Make everyone’s day faster - faster builds, cleaner environments, less manual toil. If it’s repetitive, automate it
• Own uptime like it’s personal - build observability that tells you what broke, why, and how often, before a customer has to tell you first
• Lead when things go sideways - run incident response, write postmortems people actually read (and learn from), 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.
• You’ve actually lived in Kubernetes, not just deployed to it. You get cluster architecture, scheduling, networking, storage primitives, and the fun ways distributed systems fail
• IaC and CI/CD are second nature - Pulumi or Terraform, Docker, GitHub Actions, and you’ve done it across multi-cluster, multi-region setups, not just a single happy-path environment
• You think in failure modes. Not “will this break,” but “when this breaks, what happens next” - and you design for that from day one
• You can turn “the contract says X” into “the infra does X.” Compliance and legal requirements don’t stay abstract with you around - you translate them into real constraints
• You’re a DevOps/infra person at your core, with enough full-stack range to not get stuck when the bug crosses into backend or frontend territory
• You debug like a detective. Systematic, relentless, not afraid to go five layers deep to find the real root cause
• Ambiguity doesn’t scare you. “Something’s broken somewhere” is a starting point, not a blocker - you trace it across systems until you find it
• Years of experience: 8+

• 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!

• Competitive Compensation: Final offer details are determined based on experience, expertise, and overall fit.
• Equity: Meaningful ownership in a company that’s scaling fast
• Relocation and Visa Support: We also offer relocation assistance for successful applicants moving to SF, as well as support for visa and green card applications where applicable.
• Health & Wellness: Comprehensive medical, dental, and vision plans to suit the needs of you and your family.
• Flexible Spending & Insurance: Access to HSA and FSA accounts, plus life insurance coverage.
• 401(k) Program: Save for the future with our 401(k) program.
• Commuter Benefits: We help make getting to and from the office easier and more convenient.
• Unlimited PTO: So you can take the time you need to recharge, stay healthy, and bring your best self to work.
• Office Perks: Enjoy a vibrant Downtown San Francisco office with catered lunch five days a week, premium snacks and coffee, an in-building gym, and a dog-friendly environment., * What stage of growth is Ivo at?: 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.
• Is this a chill gig?: Startups are very hard, especially if they’re growing fast. You’ll have a ton of responsibility, and there’s always an enormous amount of stuff to do. It’s hard work but the payoff is uncapped.

Ivo is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Compensation Range: $287K - $485K

The way those agreements are reviewed hasn’t changed in four thousand years - a human reads the whole thing and tries not to miss anything. We’re building the AI that finally changes that. 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.