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Responsibilities
Design, develop, and maintain scalable backend services and data engineering solutions, including databases, data warehouses, and streaming systems operating on large‑scale datasets.
Implement services that interact with Kafka, write to databases, handle monitoring tasks, and integrate with healthcare system APIs.
Manage advanced deployment strategies such as canary and blue‑green deployments, as well as feature flag systems.
Collaborate closely with product, infrastructure, and ML engineers to deliver high‑quality software solutions.
Contribute to the overall technical strategy and architecture of our platform.
Requirements
5+ years of professional experience in backend software engineering.
Strong proficiency in one or more backend programming languages (e.g., Python, Java, Go).
Extensive experience with databases (Postgres), data warehousing, and stream processing technologies, including message brokers like Kafka.
Knowledge of data engineering best practices and ETL processes.
Experience in developing and integrating with RESTful APIs and websockets.
Proficiency with cloud platforms (preferably AWS) and containerization technologies.
Experience with monitoring and observability tools and practices.
Nice‑to‑haves
Experience with healthcare data standards (FHIR, HL7v2) and integrations.
Familiarity with HIPAA compliance and health‑care data security requirements.
Previous work in a startup environment or scaling early‑stage products.
Location San Francisco strongly preferred (hybrid with Monday, Wednesday, and Friday in office).
If you’re passionate about applying frontier AI to real‑world impact, join us in building healthcare’s future.
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Sprachkenntnisse
- English
Hinweis für Nutzer
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