Software Engineer, Full-Stack

Roger Healthcare

. Build and ship backend services using FastAPI with MongoDB or Postgres .

Posted 10/8/2026full-timeSan Francisco • California • United StatesMid-LevelSenior💰 $160,000 - $220,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and shipping backend services using FastAPI, with a strong foundation in Python, APIs, and databases. Proficient in deploying applications with Docker and AWS while ensuring code quality and maintainability.

Highest-signal resume keywords

FastAPI DevelopmentPython ProgrammingDocker DeploymentAWS Cloud ServicesGenerative AI Familiarity

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Backend DevelopmentAPI DesignDatabase ManagementSystem DesignCode Quality ImprovementObservability EnhancementTesting MethodologiesAI-Assisted Development ToolsPrototypingMVP Development

Soft Skills

CuriosityProduct MindsetCollaborationFeedback AcceptanceOwnership

Tools & Technologies

MongoDBPostgresDockerAWSAI Coding Tools

Industry Keywords

Software EngineeringGenerative AILLM ProductsCross-Functional TeamsProduction Systems

Tech Stack

Tools & technologies

AWSCloudDockerMongoDBPostgresPython

About the role

Key responsibilities & impact

Build and ship backend services using FastAPI with MongoDB or Postgres
Build APIs and infrastructure connecting to LLMs and Generative AI models
Use AI-assisted development tools while maintaining quality
Turn early prototypes and MVPs into reliable, secure production systems with guidance from senior engineers
Improve observability, testing, and code quality across the backend
Deploy and run services with Docker and AWS
Pair with senior engineers through code reviews, design discussions, and real production work

Requirements

What you’ll need

3+ years of professional software engineering experience
Solid backend fundamentals, ideally in Python, including APIs, databases, and basic system design
Curiosity about Generative AI and LLM-powered products, with hands-on experimentation; personal projects count
Familiarity with Docker or cloud platforms, or a real interest in learning them
Comfort using AI coding tools and judgment to review and verify their output
Product mindset and willingness to ask questions, take feedback, and work with cross-functional teammates
Ownership of work and care for reliability, clarity, and maintainability
Currently authorized to work in the United States
Sponsorship requirements must be disclosed

Benefits

Comp & perks

Platinum health, dental, and vision insurance
Unlimited PTO
401(k) plan
Equity
Opportunity to work at the forefront of LLM innovation in healthcare
Opportunity to make a tangible difference in the lives of clinicians and patients
Mission-driven work backed by AI innovation and top-tier investors