Senior Software Engineer (Infrastructure/ML Ops)

TL;DR

Senior Software Engineer (Infrastructure/ML Ops): Develop and maintain backend infrastructure and ML platform systems for a cutting-edge AI-powered dental health SaaS product with an accent on scalable, secure, and reliable distributed systems. Focus on building APIs, data lakes, deployment automation, and versioned machine learning model deployment at scale.

Location: Hybrid in Boston, Massachusetts, USA

Salary: $100,000–$200,000

Company

hirify.global is an AI-powered healthtech startup focused on improving dental care through advanced machine learning and SaaS solutions.

What you will do

• Collaborate with software and machine learning teams and other stakeholders to build and support REST services across multiple layers.
• Extend data lake capabilities to handle petabytes of data stored in S3, RDBMS, and NoSQL databases.
• Develop scalable deployment systems for versioned machine learning models.
• Advance platform deployment automation and support complex customer and partner technology interactions.
• Build secure, reliable, and distributed SaaS backend systems on cloud platforms.

Requirements

• Location: Must be able to work hybrid in Boston, Massachusetts, USA
• Bachelor's degree in Computer Science or related field.
• At least 4 years of experience building complex SaaS backend systems on AWS, Azure, or GCP.
• Proficiency in Node.js or Python backend development and API design.
• Experience with complex SQL and NoSQL database design and optimization.
• English: Proficient (B2) required

Nice to have

• Experience with Docker, Kubernetes, or AWS ECS.
• Familiarity with Identity-as-a-Service providers like Auth0, OKTA, AWS Cognito.
• Experience with automated deployment tools such as CDK or Terraform.
• Experience with ML Ops tooling and infrastructure.

Culture & Benefits

• Fast-paced, collaborative work culture with opportunities for growth and skill development.
• Leadership by experienced engineering management focused on engineer success.
• Competitive salary, equity, and benefits.
• Agile organization with mentorship and role modeling for senior engineers.
• Work on leading-edge software and machine learning challenges impacting global health.