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Senior Software Engineer, Backend (Infrastructure/ML Ops)VideahealthUnited States

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Senior Software Engineer, Backend (Infrastructure/ML Ops)

Videahealth
  • US
    United States
  • US
    United States

Über

VideaHealth is a cutting-edge AI-powered solution for dentistry, developed by a team of seasoned leaders, engineers, AI scientists, and clinicians spun out of MIT. Our product is already used by thousands of dental clinicians to improve the quality of care through faster diagnoses, increased operating efficiencies, and improved patient understanding.
We are looking for a Senior Software Engineer to join our growing team focused on our backend infrastructure and ML platform. In this role you will have the opportunity to build foundational systems, have meaningful influence on the evolution of the technology while helping us achieve our goal of improving the dental health of millions of people. As a backend engineer you will work on platform infrastructure and products to enable our expanding array of industry revolutionizing application and machine-learning capabilities.
This is an exciting opportunity to join VideaHealth as an early key member of our software engineering team to develop secure, scalable and reliable SaaS systems. We are hiring for multiple roles across various levels from Software Engineer I to Principal level. If you are a backend engineer looking for your next challenge we encourage you to apply!
Build strong relationships by being a collaborative and dependable teammate across the software and machine learning teams as well as other key organizational stakeholders. Champion pragmatism and help the organization on its quest to constantly improve. 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.
Bachelor’s degree in Computer Science or related field with a keen interest in all things distributed.
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. Bonus points for: 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.) Experience with ML Ops tooling and infrastructure
Competitive pay, equity and benefits. Agile organization where being senior translates to being a mentor and role model for others. Technical challenges on the leading edge of innovation where software and machine learning We are looking for the right teammate who is excited to contribute to our mission and are flexible on level of experience.
VideaHealth is supported by some of the best investors in the world, having raised over $67M in Venture Capital from Tier 1 investors such as Spark Capital (Twitter, SnapChat, SmileDirectClub), Zetta Venture (Kaggle), and Pillar VC (PillPack), as well as angel investors such as Frederic Kerrest (Co-founder of Okta). If you want to join a breakthrough healthtech company and help accelerate its impact and growth, we encourage you to apply for this exciting opportunity!
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
  • United States

Sprachkenntnisse

  • English
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