Platform automation Engineer

Intuitive; Sunnyvale (CA); On-site; USD 120,000 - 150,000; Full time

Job summary

Intuitive is seeking a Platform Software Engineer to work in Sunnyvale, CA. This role focuses on eliminating manual toil across our data and analytics platform through automation opportunities, building CI/CD pipelines, and implementing infrastructure-as-code.

The ideal candidate has 5+ years of experience in DevOps, is proficient in Python and SQL, and has hands-on experience with AWS, Snowflake, and Databricks. You will facilitate team independence by creating self-service tools and monitoring solutions.

Qualifications

• 5+ years in DevOps, platform engineering, or system software engineering roles.
• Proficiency in Python, SQL, and at least one compiled or VM language (C++, Java, C#, Go).
• Strong experience with CI/CD tools and workflows (Git, GitHub Actions).

Responsibilities

• Identify and prioritize automation opportunities by observing team workflows.
• Design and implement integration patterns between platform components.
• Build CI/CD pipelines for infrastructure, data pipelines, and application deployments.

Skills

DevOps

Python

SQL

C++

Java

CI/CD tools

Infrastructure-as-Code

Docker

Kubernetes

Education

Bachelor's degree in computer science or similar

Tools

Terraform

AWS

Snowflake

Databricks

Airflow

Job description

Company Description

It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Intuitive. As a global leader in robotic-assisted surgery and minimally invasive care, our technologies—like the da Vinci surgical system and Ion—have transformed how care is delivered for millions of patients worldwide.

We’re a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world.

The problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful—because every improvement we make has the potential to change a life.

If you’re ready to contribute to something bigger than yourself and help transform the future of healthcare, you’ll find your purpose here.

Job Description

Primary Function of Position Platform software engineer focused on eliminating manual toil across our data and analytics platform. You’ll identify automation opportunities, build CI/CD pipelines, implement infrastructure‑as‑code, and create self‑service tooling for our multi‑cloud environment (AWS, Snowflake, Databricks, Airflow). Bridge data engineering and application development teams while systematically reducing operational overhead.

Job Responsibilities

• Identify and prioritize automation opportunities by observing team workflows, analyzing manual processes, and assessing ROI and risk reduction
• Design and implement integration patterns between platform components (AWS, Snowflake, Databricks, Airflow, dbt)
• Build CI/CD pipelines for infrastructure, data pipelines, and application deployments using GitOps workflows
• Develop infrastructure‑as‑code solutions using Terraform/CloudFormation for AWS, Snowflake, Databricks, and Airflow
• Create self‑service automation tools and monitoring solutions that enable team independence
• Establish standards, testing frameworks, and deployment strategies for cross‑platform automation
• Collaborate with data engineering and application teams on automation needs, technical design, and best practices

Qualifications

Required Qualifications

• 5+ years in DevOps, platform engineering, or system software engineering roles
• Proficiency in Python, SQL, and at least one compiled or VM language (C++, Java, C#, Go)
• Strong experience with CI/CD tools and workflows (Git, GitHub Actions)
• Strong Git skills including branching strategies and code review
• Deep experience with infrastructure‑as‑code (Terraform/Terragrunt, Ansible, etc.)
• Hands‑on experience with AWS, Snowflake, Databricks, and Airflow
• Familiarity with containerization (Docker, Kubernetes, ECS) and configuration management tools
• Understanding of data pipeline architectures, orchestration patterns, and data analytics and ML concepts
• Experience with automated testing, observability tools, and security best practices

Working Style

• Analytical mindset to identify automation opportunities and assess ROI
• Strong communication and collaboration across technical teams
• Pragmatic approach balancing ideal solutions with practical delivery
• Self‑motivated to proactively identify and address inefficiencies

Preferred Qualifications

• Experience with additional data tools and platforms (Fivetran, dbt, Airflow, Tableau, Posit)
• Knowledge of event‑driven architectures and streaming platforms (Kafka, Kinesis)
• Familiarity with service mesh and API gateway patterns
• Experience with policy‑as‑code tools (OPA, Sentinel, Cloud Custodian)
• Background in software engineering or site reliability engineering
• Certifications in AWS, Terraform, or relevant platforms

What You’ll Deliver

• CI/CD pipelines for infrastructure, data, and application deployments
• Infrastructure‑as‑code modules for AWS, Snowflake, Databricks, and Airflow
• Self‑service tools and automation frameworks
• Integration patterns and monitoring solutions
• Automation roadmaps with ROI analysis
• Documentation and runbooks

Education

• Minimum Education Bachelor's degree in computer science or similar

Engagement Details

• Type: Full‑time position
• Duration: Ongoing
• Location: Onsite/Sunnyvale, CA
• Travel: Minimal

Additional Information

Due to the nature of our business and the role, please note that Intuitive and/or your customer(s) may require that you show current proof of vaccination against certain diseases including COVID-19. Details can vary by role.

Equal Opportunity

Intuitive is an Equal Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees, and prohibit discrimination and harassment of any type, without regard to race, sex, pregnancy, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws.