Staff Software Engineer

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

Required Skills and Experience

• Fluent coding with at least two of the following: Python, Go, Scala, Java, C++

• Proven experience building data pipelines and working with distributed systems using technologies like Apache Spark, Kafka, Elasticsearch, Snowflake, and Airflow

• Deep technical knowledge & experience with Data Platform components/design patterns:Event-Driven Pipelines (e.g. AWS Lambda)Message Queues (e.g. Kafka)Container Orchestration (e.g. Kubernetes) Stream Processing (e.g. Flink, Spark) Relational Databases (e.g. Postgres)Data Warehouses (e.g. Snowflake)Analytics Engineering (e.g. DBT)Workflow Orchestration (e.g. Airflow)Search Engines (e.g. Elasticsearch)

• Strong understanding of CI/CD workflows, unit testing and integration testing, and deployment patterns.