Senior Software Engineer, Backend (Infrastructure/ML Ops)

Senior Software Engineer, Backend (Infrastructure/MLOps)

Location: Boston, MA

Less complexity. More dentistry. More impact.

At Videa, we help dental clinicians deliver better care to millions of patients through AI.

Oral health is health. Dentists are protectors of societal wellness. We build technology that enhances the moment of care, amplifies clinical expertise, and makes proactive oral healthcare the norm.

Thousands of clinicians rely on Videa every day. Your work here will be reflected in real practice, improving real patient outcomes. If you want to build something that matters, keep reading.

The Role

We are looking for a Senior Software Engineer, Backend (Infrastructure/MLOps) who wants to build and ship meaningful work. 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 not a maintenance role. It is a builder role. You will work alongside engineers, clinicians, operators, and AI scientists to solve practical problems for dental teams on the ground. You will help create the platform that replaces the patchwork of disconnected tools.

Key Responsibilities

• 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.

• 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.

Your work will not sit in a slide deck. It will show up chairside.

What You Bring

• 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. Well-versed with schema normalizations and query optimization.

• A passion to utilize your skills to improve the world by positively impacting people's health!

Most importantly, you care about building technology that improves people’s health.

Bonus Points

• 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

What It Is Like to Work Here

We win and lose together as one team. Collaboration is not a buzzword here. We share context early, ask for input, and step in to help when someone is stuck.

We hold a high bar, but we stay grounded. We move fast, learn as we go, and stay focused on what matters most for clinicians and patients.

What We Offer

• Competitive compensation and meaningful equity

• Unlimited PTO

• 100 percent company-paid dental and vision coverage

• Generous medical contributions

• The opportunity to work on AI that is actually used every day

• A team of thoughtful, driven people who genuinely care

Do Not Meet Every Requirement

Apply anyway.

We are not looking for perfect resumes. We are looking for the right teammate who is excited to contribute to our mission and grow with us.

Equal Opportunity

Videa is committed to building an equitable, inclusive, and supportive workplace. Diverse teams build better products and better healthcare. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

We have raised more than $67 million from world-class investors, including Threshold Ventures, Spark Capital, Zetta Venture, and Pillar VC, as well as leaders such as Frederic Kerrest, co-founder of Okta. Our work has been featured in TechCrunch and The Wall Street Journal.

If you want to join a breakthrough health technology company and accelerate its impact, we encourage you to apply.