VideaHealth

Senior Software Engineer, Backend, Infrastructure/ML Ops

VideaHealth

full-time

Posted on:

Origin:  • 🇺🇸 United States • Massachusetts

Visit company website
✨ AI Apply
Apply

Salary

💰 $100,000 - $200,000 per year

Job Level

Senior

Tech Stack

AWSAzureDockerGoogle Cloud PlatformJavaScriptKubernetesNode.jsNoSQLPythonRDBMSSparkSQLTerraform

About the role

  • Build strong relationships by being a collaborative and dependable teammate across the software and machine learning teams and other stakeholders
  • Create value by working on the most critical efforts at Videa
  • Champion pragmatism and help the organization constantly improve
  • Communicate effectively 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 Data Lake capabilities to store and query petabytes of binary and textual data and associated metadata in S3, RDBMS, and NoSQL databases
  • Invent the future of deploying versioned machine learning models at scale
  • Advance the platform’s deployment automation capabilities
  • Enable the platform to agilely support complex interactions with customers’ and partners’ technology
  • Develop secure, scalable and reliable SaaS systems as an early key member of the software engineering team

Requirements

  • Bachelor’s degree in Computer Science or related field
  • 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 in Node.js or Python backend services
  • Hands-on experience in building well-crafted APIs
  • Experience with complex SQL/NoSQL database designs, schema normalizations and query optimization
  • Passion to utilize your skills to improve the world by positively impacting people's health
  • Ability to commute to Boston, Massachusetts and work a hybrid schedule (office 2 days a week)
  • Bonus: Experience working in a Docker-first environment with Kubernetes or AWS-ECS
  • Bonus: Experience with Identity-as-a-Service providers (Auth0, OKTA, AWS Cognito, etc.)
  • Bonus: Experience with automated deployment tooling (CDK, Terraform, etc.)
  • Bonus: Experience with ML Ops tooling and infrastructure