Senior MLOps Engineer – Scalable ML Infra & Pipelines

Intuitive Surgical, Inc. in; Sunnyvale (CA); On-site; USD 189,000 - 271,000; Full time

Job summary

Intuitive Surgical, Inc. is seeking a Sr MLOps Engineer (Finance) to design, build, and maintain the ML lifecycle infrastructure in a fast-paced environment. You will collaborate with ML engineers and software developers to ensure scalable, reliable delivery of ML models in production.

The role emphasizes Kubernetes operations, ML orchestration tooling, data and artifact management, security, and incident response, with a strong focus on governance for regulated settings.

Qualifications

• 3+ years in infrastructure, DevOps, or MLOps roles or equivalent experience.
• Production Kubernetes experience (Networking, storage, RBAC, troubleshooting).
• Scripting in Python and/or Bash; IaC familiarity (Ansible, Helm, Terraform).
• Experience with distributed storage (S3/MinIO/NetApp).
• CI/CD pipelines experience (GitLab CI, ArgoCD or equivalent).
• Strong Linux systems administration and networking fundamentals.
• Excellent communication and documentation skills.
• Autonomy across full stack; able to iteratively build solutions.

Responsibilities

• Bootstrap and maintain a production-grade Kubernetes cluster with CNI networking and storage.
• Deploy and configure ML orchestration tooling and artifact storage for reproducible workflows.
• Validate GPU node health and configuration across heterogeneous hardware with standardization.
• Design and execute migration playbooks; port workflows and roll out tool updates.
• Write and maintain runbooks, architecture docs, and disaster recovery procedures.
• Participate in on-call rotation and incident response for platform issues.
• Collaborate with IT/Security on identity integration, access control, and compliance.
• Continuously evaluate infrastructure best practices for reliability and cost.

Skills

Kubernetes

Python

Bash

IaC tools

Ansible

Helm

Terraform

Distributed storage

S3/MinIO

GitLab CI

ArgoCD

Linux admin

Networking

Documentation

Autonomy

Education

Bachelor's or Master's degree in Computer Science, Engineering, or a related field; or equivalent experience

Tools

Metaflow

MLflow

Kubeflow

NVIDIA drivers

CUDA

Job description

Intuitive Surgical, Inc. is seeking a Sr MLOps Engineer (Finance) to design, build, and maintain the ML lifecycle infrastructure in a fast-paced environment. You will collaborate with ML engineers and software developers to ensure scalable, reliable delivery of ML models in production.

The role emphasizes Kubernetes operations, ML orchestration tooling, data and artifact management, security, and incident response, with a strong focus on governance for regulated settings.