Staff Software Engineer

Intuitive Surgical, Inc. in

Sunnyvale (CA)

On-site

USD 190,000 - 270,000

Full time

5 days ago
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Job summary

Intuitive in Sunnyvale, CA seeks a Staff Software Engineer to lead the design and evolution of a scalable DaaS platform powering thousands of engineers.

Responsibilities include building high-throughput streaming data pipelines, defining architecture, mentoring teammates, and advancing CI/CD and infrastructure-as-code practices across data domains to improve reliability and developer productivity at scale.

Qualifications

  • Experience designing scalable data platforms.
  • Strong understanding of streaming data pipelines and real-time processing.
  • Ability to define and enforce data standards and architecture across teams.

Responsibilities

  • Build highly scalable distributed systems leveraging event-based and streaming data pipelines.
  • Provide self-service APIs and applications to access data.
  • Collaborate with core engineering to evolve data models as business needs grow.
  • Apply CI/CD, automated testing, and infrastructure-as-code practices.

Skills

Distributed systems
Event-driven architecture
Data pipelines
API design
CI/CD
Infrastructure as code
Mentoring
Data modeling

Tools

Kubernetes

Job description

Job Description
Primary Function of Position:

The Staff Software Engineer will lead the design and evolution of a modern, scalable Data-as-a-Service (DaaS) platform that supports Intuitive Digital products and enables more than 2,000 engineers across the organization. This role is responsible for owning and advancing critical components of our real-time and micro-batch data pipelines that power product development, internal tools, and analytics. The engineer will provide architectural direction, influence cross-team data standards, ensure reliability and performance at scale, and drive strategic initiatives that improve developer productivity and data accessibility across the organization.

Major work will focus on enabling high-throughput, low-latency data delivery through streaming pipelines, dynamic transformations, and APIs, driving application development, AI/ML, and actionable insights. You will help define the architecture and engineering practices that support self-service analytics and operational decision-making on scale.

Essential Job Duties
  • Build highly scalable distributed systems that leverage event-based and streaming data pipelines to handle ingestion and processing of robot, manufacturing, and clinical data

  • Enable users by providing self-service APIs and applications to access and interact with data

  • Work closely with core engineering teams to consistently evolve data models based on growing business needs

  • Apply and evangelize software development best practices such as CI/CD, automated testing, infrastructure-as-code, and microservice architectures

  • Effectively participate in the team's planning, code reviews, KPI reviews, and design discussions leading to continuous improvement in these areas.

  • Act as a technical leader within the data domain driving best practices, mentoring teammates, and continuously improving how data is produced, shared, and consumed across the organization

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