Ivo Inc.
Staff Cloud/ML Ops Engineer
San Francisco · Staff+
Sponsorship not specifiedDetected 1 day ago
Distributed SystemsGitAWSGCPAzureKubernetesTerraformCI/CDSite Reliability EngineeringMachine LearningLLMsRAGMLOpsCanvaWordPress
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Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
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About the role
- Customers are cagey about their contracts, so each customer gets their isolated environment with containers, database, VPC, etc.
- Cloud and LLM providers have "incidents." Customers still expect us to hit our SLAs.
- We're looking for a Cloud/MLOps Engineer as part of Infrastructure team to:
Responsibilities
- Infrastructure Engineers build the foundation for Ivo's entire platform.
- 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
- Partner with SRE + ML teams to ensure SLOs are realistic and enforceable and models are deployed in production environments
- 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.
Nice to have
- 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.)
- 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
- Would describe yourself as being relentlessly resourceful http://www.paulgraham.com/relres.html.
- You have a strong internal sense of urgency.
- You have a bias towards doing things *today*, rather than tomorrow.
Skills
- Ditching imprecise embeddings models in favor of agentic RAG
- Large-scale LLM-based legal fact extraction
- A legal assistant that can search large contract databases, without sacrificing accuracy
- Clustering legal documents descended from the same family
- Automatic deviation analysis to locate buried risk in huge contract databases
- Merging contracts with their amendments to make a time series of "composite" contracts (a customer actually cried when we showed her this)
Compensation
- Competitive Compensation: Final offer details are determined based on experience, expertise, and overall fit.
Benefits
- Equity: Meaningful ownership in a company that's scaling fast
- 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.
- 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.
Company info
- 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'll be building the system that keeps the company running.
- Are excited about the adventure of building a company!
- 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
Visa & Work Authorization
- 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.
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