VideaHealth is looking for a Senior Software Engineer to build foundational systems for their backend infrastructure and ML platform, enabling their AI-powered dental diagnostic solution to improve the quality of care for millions globally.
Requirements
- At least 4 years of experience building complex (secure, reliable, distributed and scalable) SaaS systems on AWS, Azure or GCP
- At least 4 years of experience Node.js or Python backend services.
- Hands-on experience in building well-crafted APIs that make the front-end developers smile!
- Experience with complex SQL/NoSQL database designs. Well-versed with schema normalizations and query optimization.
- Experience working in a Docker-first environment with Kubernetes or AWS-ECS
- Experience with Identity-as-a-Service providers (Auth0, OKTA, AWS Cognito, etc.)
- Experience with automated deployment tooling (CDK, Terraform, etc.)
Responsibilities
- Collaborate with teammates to design, build, automate testing of and support REST services at the application, identity, data pipeline/storage and machine learning layers.
- Extend existing Data Lake capabilities to store and query petabytes of binary and textual data and the associated metadata, systematically arranged in S3, RDBMS, and NoSQL databases.
- Invent the future of deploying versioned machine learning models at scale.
- Advance our platform’s deployment automation capabilities.
- Enable platform to agilely support complex interactions with our customers’ and partners’ technology.
Other
- Build strong relationships by being a collaborative and dependable teammate across the software and machine learning teams as well as other key organizational stakeholders.
- Create value by working on the most critical efforts at Videa.
- Champion pragmatism and help the organization on its quest to constantly improve.
- Communicate effectively and efficiently by understanding your audience.
- A passion to utilize your skills to improve the world by positively impacting people's health!