Senior Software Engineer, Backend (AI)

TL;DR

Senior Software Engineer, Backend (AI): Building secure, scalable and reliable SaaS systems and customer-facing software with an accent on enabling industry revolutionizing application and machine-learning capabilities. Focus on deploying versioned machine learning models at scale and agilely support complex interactions with customers’ and partners’ technology.

Location: Based out of HQ in Boston Massachusetts on a hybrid schedule

Salary: $100K - $200K

Company

hirify.global is a cutting-edge AI-powered solution for dentistry, improving the quality of care through faster diagnoses, increased operating efficiencies, and improved patient understanding.

What you will do

• Build strong relationships as a collaborative and dependable teammate.
• 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 associated metadata.
• Advance the platform’s deployment automation capabilities.
• Enable the platform to agilely support complex interactions with customers’ and partners’ technology.

Requirements

• Bachelor’s degree in Computer Science or related field.
• At least 4 years of experience building complex SaaS systems on AWS, Azure, or GCP.
• At least 4 years of experience with Node.js or Python backend services.
• Experience building well-crafted APIs.
• Experience with complex SQL/NoSQL database designs.

Nice to have

• 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.)

Culture & Benefits

• Fast-paced and collaborative work culture.
• Team led by a VP of Engineering focused on helping engineers thrive.
• Competitive pay, equity, and benefits.
• Agile organization where senior members mentor others.
• Technical challenges on the leading edge of innovation in software and machine learning.