Python Full Stack Engineer

• Will include a technical interview
• A few additional interview rounds are expected
• Team is still finalizing the full interview process

We’re looking for a mid-level full-stack engineer who can take ownership of features end-to-end, contribute to architectural decisions with guidance, and collaborate closely with business teams to ship real, production-grade software. You’re past the basics and ready to take on meaningful scope - while still growing into senior-level independence.

What You’ll Do Design, build, and maintain both the frontend and backend of a new internal platform, from feature development through production Build and maintain integrations between the platform and its underlying cloud and AI infrastructure Partner with business teams to translate day-to-day workflows into working software, with some guidance from senior engineers Implement secure authentication, access control, and data governance appropriate for sensitive business data Contribute to and follow engineering best practices - testing, CI/CD, deployment, and observability Iterate on features based on real usage and feedback, balancing speed with reliability

• Ideal Candidate: Strong full-stack engineer who can work across the Python/backend and React/TypeScript/frontend stack and has hands-on cloud experience.
• Experience: 3-5 years of professional software engineering experience
• Core Technical Skills:
• Python experience required
• React
• TypeScript
• Must have experience working with cloud technologies
• Industry Experience: Medical/healthcare experience is preferred but not required, * Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field (or equivalent practical experience)
• 3-5 years of professional software engineering experience, with hands-on exposure to both frontend and backend systems
• Solid Python skills; experience with FastAPI or a comparable async Python web framework
• Solid React TypeScript experience - shipped features in a production environment
• Familiarity with LLM/AI API integrations - agentic or tool-calling patterns are a plus
• Experience with a major cloud provider (Azure preferred; AWS/GCP considered) - comfortable deploying and managing cloud resources
• Working knowledge of OAuth 2.0 / OIDC authentication flows
• Ability to work with non-technical business stakeholders to clarify and shape requirements
• Hands-on experience with CI/CD pipelines and containerized deployments