> Markdown version of [/jobs/ext/3989756-software-engineer](https://www.wearedevelopers.com/jobs/ext/3989756-software-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Software Engineer

- **Company:** Intuitive Surgical, Inc.
- **Location:** San Fernando, CA, United States
- **Experience:** Experienced
- **Salary:** $187,600.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Airflow, Amazon Web Services, Automation of Tests, C++ (Programming Language), Code Review, Continuous Integration, Data as a Services, Data Infrastructure, Data Security, Distributed Systems, Elasticsearch, Python (Programming Language), Scrum Methodology, Software Architecture, DataOps, Snowflake, Apache Spark, Kubernetes, Information Technology, Deployment Automation, Apache Kafka, Restful APIs, Terraform, Data Pipelines, Docker, Programming Languages
- **Published:** October 28, 2026
- **Apply:** https://jobs.smartrecruiters.com/Intuitive/744000158093259-software-engineer

## About the Role

* Solid quantitative background in Computer Science, Engineering, Physics, Math, or 3+ years of hands-on experience in a technically demanding role.
 * Proficient in at least two major programming languages such as Python, Go, Scala, C++, or Java, with a strong understanding of software design and architecture.
 * Proven experience building data pipelines and working with distributed systems using technologies like Apache Spark, Kafka, Elasticsearch, Snowflake, and Airflow.
 * Strong collaborator who actively contributes to code reviews, system design discussions, sprint planning, and KPI evaluations to drive team excellence and technical quality.
 * Minimum a bachelor's or master's degree in computer science, information technology, or a related field.

Bonus Points:

 * Experience working on Data Platform or Infrastructure Engineering teams.
 * Hands-on experience with AWS, Docker, Kubernetes, Kafka, Elasticsearch, Apache Airflow, Snowflake, and Terraform.
 * Familiarity with CI/CD best practices for DataOps and deployment automation.

## Description

* Design and build scalable, distributed Data as a Service that ingest, process, and serve data from robotics, manufacturing, engineering, and clinical sources in real time and batch modes.
 * Develop and maintain robust APIs, data services, and tooling to provide internal teams with secure, efficient, and intuitive access to high-quality data.
 * Partner with engineering, analytics, and business stakeholders to evolve data contracts and models that support emerging use cases and ensure semantic consistency.
 * Implement CI/CD practices for data services, including automated testing for data quality, service reliability, and schema evolution.
 * Championing a self-service data culture by building discoverable, well-documented data products and guiding teams toward empowered, autonomous data access.
 * 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.