Senior Full Stack Developer - Node or Python on Backend

Backend, Full Stack, Manager positions available - Hybrid in Boston

Our client, an AI/ML healthcare system start-up company founded in 2018, is seeking a Senior Software Engineer - Node, React, AWS - to join their growing team! In this full-stack role, you'll build foundational systems, influence technology evolution, and contribute to the development of secure, scalable SaaS systems. The role is based in Boston, Massachusetts, with a hybrid schedule. Flex as needed for hybrid is okay, but normal schedule is 2 days per week in the office.

Key Responsibilities:

• Collaborate with software, machine learning teams, and stakeholders to develop critical systems.
• Design, build, automate testing, and support REST services across application, identity, data pipeline/storage, and machine learning layers.
• Enhance Data Lake capabilities for storing and querying large data sets in S3, RDBMS, and NoSQL databases.
• Develop and deploy machine learning models at scale.
• Improve platform deployment automation and enable seamless interactions with customer and partner technologies.

Required Skills:

• Bachelor's degree in Computer Science or related field.
• 4+ years of experience building complex, distributed, and scalable SaaS systems (AWS, Azure, or GCP).
• 4+ years of experience with Node.js or Python backend services.
• Strong skills in API design and complex SQL/NoSQL databases.
• Passion for using technology to improve health.

Preferred:

• Front-end experience with React or Angular.
• Experience with Docker, Kubernetes, or AWS-ECS.
• Familiarity with Identity-as-a-Service providers (Auth0, OKTA, etc.).
• Experience with automated deployment tools like CDK or Terraform.

What We Offer:

• Fast-paced, collaborative work culture with opportunities for skill growth and a wide variety of challenges.
• Leadership by a VP of Engineering focused on engineer needs and growth.
• Competitive pay, equity, and benefits.
• A senior role that involves mentoring and setting examples for others.
• Working on cutting-edge technical challenges involving software and machine learning.