Senior Software Engineer, Backend (Infrastructure/ML Ops)

VideaHealth • Boston, MA

105d

About The Position

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. This position is based out of our HQ in Boston Massachusetts on a hybrid schedule. 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!

Requirements

• 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!

Nice To Haves

• 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.

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.

Benefits

• Fast paced and collaborative work culture in which you can gain experience, grow your technical skills and work on a wide variety of challenges over your time with us.
• A team led by a VP of Engineering who spent the first half of his career as an engineer who understands what engineers need to thrive and whose mission is for Videa to be the best team you'll ever join.
• Competitive pay, equity and benefits.
• Agile organization where being senior translates to being a mentor and role model for others. We lead by example.
• Technical challenges on the leading edge of innovation where software and machine learning.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Bachelor's degree
• Number of Employees: 51-100 employees