Sonia

Backend Engineer

• Design, development, and maintenance of scalable backend services using Python 3 (async, type hinting)
• Architect and implement RESTful APIs and real-time communication via WebSockets
• Drive technical discussions and decisions, shaping backend architecture and coding standards
• Debug and troubleshoot production issues, ensuring resilience, performance, and security
• Advance our CI/CD pipeline and containerized deployments (Docker)
• Collaborate with ML engineers to integrate APIs and backend systems with AI/ML services
• Mentor and support other developers, fostering best practices in engineering, testing, and documentation
• Continuously identify opportunities for technical and process improvements

Python Software Engineer

Platform Engineer

• Support and enhance our Kubernetes-based infrastructure in cloud environments, running both ML/LLM workloads and general applications
• Deploy and optimize LLM inference systems
• Design, build, and improve MLOps/DevOps pipelines to support the entire development lifecycle
• Manage GPU scheduling and autoscaling with Kubernetes-native tooling
• Ensure observability and alerting across the platform
• Operate and troubleshoot supporting infrastructure
• Contribute to platform reliability, security, and performance through automation and best practices

ML Platform Engineer

• With Sonia, doctors are successful doctors; we create and deploy AI-enhanced solutions that make doctors’ lives easier and healthcare systems more efficient
• Help build scalable, reliable backend services and APIs for AI-driven products
• Develop and maintain scalable backend services using Python 3 (with async and strong typing)
• Design and implement RESTful APIs and real-time communication via WebSockets
• Write clean, maintainable, and well-tested code; debug and troubleshoot production issues to ensure reliability and performance
• Work with containerization (Docker) and contribute to CI/CD pipeline improvements
• Collaborate with cross-functional teams to integrate APIs and backend systems with ML services
• Proactively bring ideas for improving architecture, automation, and processes

Python Software Engineer

ML Platform Engineer

Mid-level Python Software Engineer