Senior Software Engineer, Backend Systems

Health Data Analytics Institute; Dedham (MA); On-site; USD 120,000 - 180,000; Full time

Job summary

Health Data Analytics Institute in Dedham, MA seeks a Senior Software Engineer to join the Data Retrieval Platform team. You will design and build distributed services/APIs that power the HealthVision platform, ensuring fast, reliable data delivery at scale.

The role emphasizes ownership, sound engineering judgment, and clear cross-team communication in a fast-moving, ambiguous environment. Collaboration with ML Ops and Data Engineering is key.

Qualifications

• 5+ years of experience as a backend software engineer.
• Proficiency in Python for production services.
• Hands-on experience building distributed systems on AWS (Lambda, API Gateway).
• Designing RESTful APIs with FastAPI or similar frameworks.
• Experience with relational and non-relational databases.
• Knowledge of CI/CD, deployment, monitoring, and testing.
• Healthcare or regulated industry experience is a plus; HIPAA familiarity preferred.
• Startup experience is a plus; ability to wear multiple hats without sacrificing quality.
• Strong interpersonal skills and cross-team communication.

Responsibilities

• Design, build, and maintain distributed AWS Lambda functions and REST API services that power HealthVision platform.
• Own FastAPI services and API Gateway integrations for reliability and scalability.
• Work across relational and non-relational databases to model and optimize data storage and retrieval.
• Collaborate with ML Operations and Data Engineering to support AI model inference and clinical needs.
• Contribute to full software development lifecycle—from design to deployment and monitoring.
• Champion engineering best practices including code quality, documentation, and agile workflows.
• Foster a culture of continuous learning and innovation within the Data Retrieval Platform team.

Skills

Python

Distributed systems

RESTful APIs

Agile / Scrum

Tools

AWS Lambda

API Gateway

FastAPI

PostgreSQL

MySQL

DynamoDB

MongoDB

Git

CI/CD Tooling

Job description

Senior Software Engineer, Backend Systems

About Us

Health Data Analytics Institute (HDAI) is a commercial-stage HealthTech company. Our Intelligent Health Management System, HealthVision™, is a first-in-class enterprise solution leveraging real-time predictive analytics and generative AI to deliver improved outcomes, efficiencies, and economics for health systems and value-based care organizations.

HDAI is located in Dedham, MA near the Dedham Corporate Center Commuter Rail station on the Franklin/Foxboro line (25 minutes from Back Bay and South Station, Boston) and I-95/128.

Summary

We are looking for a Senior Software Engineer to join the Data Retrieval Platform team at HDAI. This team is the backbone of HealthVision™ — owning the systems that transform, store, and serve the data that clinicians and care teams see every time they open the platform. You will design and build the distributed services and APIs that make that data fast, reliable, and accurate at scale.

This role requires someone who thrives in a fast-moving environment where requirements shift and perfect specs are rare. At HDAI, the ability to make sound decisions under ambiguity and move work forward independently is as important as technical depth. You will collaborate closely with ML Operations, Data Engineering, and Frontend Engineering teams, and your work will directly influence the quality of care insights delivered to health systems across the country. A successful candidate will demonstrate strong ownership, sound engineering judgment, and the ability to communicate clearly across teams.

Responsibilities

Design, build, and maintain a distributed set of AWS Lambda functions and REST API services that transform, store, and serve data powering the HealthVision™ platform.

Own the development and maintenance of FastAPI services and API Gateway integrations, ensuring reliability, performance, and scalability.

Work across relational and non-relational databases to model, query, and optimize data storage and retrieval patterns.

Collaborate with ML Operations and Data Engineering teams to ensure data is structured, surfaced, and served in ways that support AI model inference and clinical application needs.

Contribute to the full software development lifecycle — from design and implementation through testing, deployment, monitoring, and iteration.

Champion engineering best practices including code quality, documentation, and agile/scrum workflows.

Contribute to a culture of continuous learning, growth, and innovation within the Data Retrieval Platform team and across the broader engineering organization.

Minimum Qualifications

5+ years of working experience as a software engineer with a focus on backend systems.

Strong proficiency in Python for production service development.

Hands-on experience building and operating distributed systems on AWS, particularly Lambda and API Gateway.

Solid experience designing and building RESTful APIs, including FastAPI or similar frameworks.

Proficiency working with both relational databases (e.g. PostgreSQL, MySQL) and non-relational databases (e.g. DynamoDB, MongoDB).

Familiarity with the full software development lifecycle including design, testing, CI/CD, deployment, and monitoring.

Demonstrated ability to operate effectively in ambiguous, fast-moving environments — you can set direction and make progress when requirements are incomplete or evolving.

Comfortable working with Git and on a team using agile/scrum.

Experience in healthcare or an adjacent regulated industry is a plus; familiarity with HIPAA requirements in practice is preferred.

Startup experience is a plus — you are comfortable wearing multiple hats and moving quickly without sacrificing quality.

Excellent interpersonal skills with demonstrated ability to effectively communicate with internal and external teams; ability to develop trust, cooperation, and mutual respect.

HDAI is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.