Senior Software Engineer

Company Description

At Intuitive, we are united behind our mission: we believe that minimally invasive care is life-enhancing care. Through ingenuity and intelligent technology, we expand the potential of physicians to heal without constraints.

As a pioneer and market leader in robotic-assisted surgery, we strive to foster an inclusive and diverse team, committed to making a difference. For more than 25 years, we have worked with hospitals and care teams around the world to help solve some of healthcare's hardest challenges and advance what is possible.

Intuitive has been built by the efforts of great people from diverse backgrounds. We believe great ideas can come from anywhere. We strive to foster an inclusive culture built around diversity of thought and mutual respect. We lead with inclusion and empower our team members to do their best work as their most authentic selves.

Passionate people who want to make a difference drive our culture. Our team members are grounded in integrity, have a strong capacity to learn, the energy to get things done, and bring diverse, real world experiences to help us think in new ways. We actively invest in our team members to support their long-term growth so they can continue to advance our mission and achieve their highest potential.

Join a team committed to taking big leaps forward for a global community of healthcare professionals and their patients. Together, let's advance the world of minimally invasive care.

Job Description

About the role:

We’re looking for a Senior Software Engineer who is passionate about building a modern, scalable Data as a Service (DaaS) platform that powers Intuitive’s Digital products and supports over 2,000 engineers across the organization. In this role, you will own and evolve critical components of our real-time and micro-batch data pipelines that power product development, internal tools, and analytics.

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

As a catalyst for change, you will be at the forefront of reimagining how engineering teams consume and interact with data. Long-term success in this role means building robust, efficient systems and replacing legacy processes with modern solutions that allow teams to move faster, with greater confidence and autonomy.

Responsibilities:

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

Qualifications

Key Skills & Experience:

• Solid quantitative background in Computer Science, Engineering, Physics, Math, or 8–10+ 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

About the Data Services Team:

We are a rapidly growing organization made up o