
חדש באתר! העלו קורות חיים אנונימיים לאתר ואפשרו למעסיקים לפנות אליכם!
About DigitalOwl:
At DigitalOwl, we are transforming the way insurance and legal professionals interact with complex medical data. Imagine a world where you can effortlessly View, Triage, Connect, and Chat with intricate datasets. Our innovative Workflows, powered by cutting-edge AI, turn unstructured data into actionable insights with unprecedented speed and accuracy. Join a dynamic team of data scientists, engineers, and industry experts who are at the forefront of technological advancement, ensuring our platform not only meets but exceeds the needs of a rapidly evolving industry. Be part of a company that is redefining the boundaries of what’s possible in the insurance, legal and health sectors.
Job Responsibilities:
• Lead and mentor a team of backend developers to build and maintain our highly scalable system that processes millions of medical documents daily.
• Develop and manage a microservices architecture using K8S ensuring high performance and scalability.
• Integrate state-of-the-art generative models within the system.
• Ensure the secure processing of Personally Identifiable Information (PII) in compliance with best practices and regulations.
• Collaborate with cross-functional teams including data scientists, front-end developers, and product managers to deliver high-quality solutions.
• Oversee the development and maintenance of CI/CD pipelines using GitHub Actions and ArgoCD.
• Manage and deploy applications on Kubernetes, utilizing Docker and Helm for containerization.
• Implement and maintain RabbitMQ for efficient message brokering.
• Maintain and optimize both SQL databases to ensure data integrity and performance.
• Foster a culture of continuous improvement and innovation within the team.
• Report directly to the CTO, ensuring alignment with the company’s technical vision and strategic goals.
Requirements
Experience:
3+ years of experience as a team lead.
4+ years of experience in building systems and architectures that run on Kubernetes.
Knowledge and Skills:
Soft Skills:
Bonus Qualifications: