Knowtex
Backend Engineer
San Francisco
Sponsorship not specifiedDetected 140 days ago
PythonDistributed SystemsBackend DevelopmentNoSQLDynamoDBAWSCloud PlatformsCI/CDRESTMachine LearningData EngineeringComplianceHIPAAEHR/EMRProblem Solving
About the role
- We're at an inflection point where cutting-edge AI meets real clinical impact, giving clinicians hours back each day to focus on what matters most - their patients.
- This role is critical to ensuring scalability, reliability, and compliance as we expand across commercial and federal healthcare systems.
Responsibilities
- Design and implement scalable backend services and APIs
- Build and maintain microservices supporting AI-driven clinical workflows
- Develop and optimize data pipelines for real-time processing
- Collaborate with ML engineers to productionize model inference systems
- Design secure, compliant data architectures (HIPAA-aware systems)
- Participate in architecture reviews and technical design discussions
- Support integration efforts with EHR systems and third-party platforms
- Experience designing and building RESTful APIs
Requirements
- 3-6+ years of experience in backend software engineering
- Strong proficiency in Python or similar backend languages
- Experience working with relational and/or NoSQL databases
Nice to have
- Experience working with ML-enabled systems or model inference APIs
- In-depth knowledge of AWS services (Lambda, ECS, S3, RDS, DynamoDB, etc.)
- Experience integrating with third-party APIs or EHR systems
- Knowledge of CI/CD pipelines and infrastructure-as-code tools
- Python-based backend services
- AWS cloud infrastructure (including GovCloud environments)
- ML-enabled application platforms
- CI/CD pipelines and containerized services
Compensation
- Meaningful equity compensation
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This listing is sourced directly from Knowtex's careers page and normalized into a canonical job model.