19 hours ago
Base Salary
$190k - $322k/yr
Responsibilities
- Provide technical leadership and hands-on implementation across cloud infrastructure, backend services and APIs, and data platforms.
- Design engineering patterns for APIs, service boundaries, data contracts, deployment models, observability, and operational reliability.
- Design data ingestion, event-driven, stream-processing, batch-processing, and governed data-access platforms.
- Lead architecture and design reviews for cross-team initiatives and guide technical tradeoffs.
- Establish standards for infrastructure as code, CI/CD, automated testing, versioning, documentation, and service operability.
- Partner with infrastructure, product, quality, and security teams to meet business, operational, and regulatory requirements.
- Mentor engineers and improve design and implementation standards across teams.
Requirements
- Bachelor's or Master's degree in computer science or a related field.
- Minimum of 10 years of relevant experience in software engineering, data platforms, and related functions.
- Deep experience building complex systems across cloud infrastructure, backend services and APIs, data processing systems, and platform engineering.
- Proficiency in one or more modern programming languages such as Go, Python, or Java.
- Strong experience designing and operating APIs and backend services with contracts, versioning, backward compatibility, documentation, authentication, authorization, and observability.
- Strong AWS cloud-native development and platform-engineering experience, including infrastructure automation, environment design, deployment patterns, and security controls.
- Experience with GitLab CI, automated build and test pipelines, artifact publication, release automation, and production deployments.
- Experience with Terraform or similar infrastructure-as-code tools and reusable platform patterns.
- Experience with data ingestion, event-driven systems, and stream or batch processing using technologies such as Kafka, Spark, Flink, or Airflow.
- Experience with relational and NoSQL databases such as Postgres and DynamoDB, including data modeling and transactional system design.
- Understanding of unit, integration, and end-to-end testing, traceability, reliability, incident response, and operational support.
- Ability to influence technical direction across multiple teams and mentor engineers.
- Preferred experience with medical devices or other regulated industries and with defining and implementing data privacy requirements.
Benefits
- Employee position with a day shift.
- Onsite weekly on a set schedule, with the percentage of onsite work defined by the leader.
- Some roles may require current proof of vaccination against certain diseases, including COVID-19.
- Market-competitive compensation packages include base pay, incentives, benefits, and equity.
- Position may be filled at a different job level depending on business need and the selected candidate's experience, knowledge, and skills.
Tech Stack
Amazon DynamoDBApache AirflowApache FlinkApache KafkaApache SparkAWSGitLab CI/CDGoJavaPostgreSQLPythonTerraform
About Intuitive
Intuitive designs and manufactures robotic-assisted systems for minimally invasive procedures used by hospitals and surgeons, including the da Vinci surgical system and the Ion endoluminal platform for lung biopsy. Its business model combines capital equipment sales with recurring revenue from instruments, accessories, software, and service/training contracts. Founded in 1995 and headquartered in Sunnyvale, California, Intuitive is publicly traded on NASDAQ (ISRG) and serves healthcare providers worldwide.