Job DescriptionPrimary Function of Position:The Senior Software Engineer will design, build, and evolve key components of a modern, scalable Data-as-a-Service (DaaS) platform that supports Intuitive Digital products and serves more than 2,000 engineers across the organization. This role is responsible for independently delivering significant features and services within our real-time and micro-batch data pipelines that power product development, internal tools, and analytics. The engineer will make sound design decisions within their area, collaborate effectively across functions, and contribute to the reliability, performance, and usability of the platform at scale.
Major work will focus on developing high-throughput, low-latency data delivery through streaming pipelines, dynamic transformations, and APIs that enable application development, AI/ML, and actionable insights. You will help implement the architecture and engineering practices that support self-service analytics and operational decision-making.
Essential Job Duties- Design and build scalable distributed systems that leverage event-based and streaming data pipelines to handle ingestion and processing of robot, manufacturing, and clinical data
- Develop self-service APIs and applications that enable users to access and interact with data
- Partner with core engineering teams to evolve data models in response to changing business needs
- Apply software development best practices - CI/CD, automated testing, infrastructure-as-code, and microservice architectures - in your day-to-day work
- Actively participate in team planning, code reviews, KPI reviews, and design discussions, offering constructive input and driving decisions to closure within your area
- Serve as a mentor to junior engineers and new team members, sharing knowledge and helping accelerate their ramp-up and growth
- May lead moderately complex projects within the data domain, coordinating with cross-functional partners to deliver successful outcomes
QualificationsRequired Skills and Experience- Fluent coding in at least two major programming languages
- Hands-on experience building data pipelines and working with distributed systems using technologies such as Apache Spark, Kafka, Elasticsearch, Snowflake, and Airflow
- Working technical knowledge and 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)
- Solid understanding of CI/CD workflows, unit testing and integration testing, and deployment patterns
- Experience with AWS and/or GCP
- Experience with SQL and relational databases
- Ability and enthusiasm to work collaboratively and cross-functionally, take ownership of your deliverables, and drive your own progress while knowing when to escalate
Required Education and TrainingSolid quantitative background in Computer Science, Engineering, Physics, Math, or a related field. Minimum a bachelor's or master's degree in computer science, information technology, or a related field, with a typical minimum of 5 years of relevant experience.
Preferred Skills and Experience- Experience on a Platform team
- Experience with Gitlab CI/CD or other CI tooling
- Experience with Terraform, Ansible, Packer + general IaC best practices
- Familiarity with CNCF projects and successful use of them in past projects
Additional InformationDue 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.
We provide market-competitive compensation packages, inclusive of base pay, incentives, benefits, and equity. It would not be typical for someone to be hired at the top end of range for the role, as actual pay will be determined based on several factors, including experience, skills, and qualifications. The target compensation ranges are listed.
