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SupportFinity™

Senior/Staff Full-Stack Engineer

san francisco, CA

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Job description

About us: Lighten envisions a future where clinical data can drive the next generation of human health breakthroughs -- from uncovering personalized treatment insights, to accelerating drug discoveries and driving adoption of innovative therapies. Lighten builds AI-native software platforms to transform raw clinical data into the highest quality patient journeys to accelerate evidence generation for R&D and bring life-saving therapies to the market faster. We partner with and empower life sciences and healthcare organizations to deliver on their mission for the benefit of the patients they serve.

We offer competitive salary and employee equity options, 3% company-sponsored 401k contributions, and comprehensive medical, dental and vision insurance for employees and their families.

We offer competitive salary and employee equity options, 3% company-sponsored 401k contributions, and comprehensive medical, dental and vision insurance for employees and their families.

You Can Expect To

Own the architecture, design, development and operations of server-side logic, databases, APIs, and other backend processes to handle heterogeneous sources of healthcare data at scale.

Collaborate closely with product, clinical and design teams to translate product and design requirements into production.

Prototype, optimize, and maintain scalable back-end services that will power new ML and LLM model powered development workflows

Develop responsive and user-friendly web interfaces that integrate with server-side logic and APIs

Optimize web applications for performance, speed, and scalability, ensuring fast load times and smooth user interactions. Write clean, well-structured, and maintainable code following best practices and coding standards. Conduct code reviews, provide constructive feedback, and collaborate with team members to improve code quality and maintainability.

Design extensible and testable interfaces between internal services including the underlying storage and data models

Be an engaged team player in a customer-focused cross-functional environment where you will feel excited to take on whatever is most impactful for the company and product

Have the ability to work in San Mateo 3-4 days a week.

We Look For

Proficiency in Python, and extensive experience in API design and development (FastAPI), database technologies (e.g., Postgres, MySQL, noSQL) and CI/CD.

Experience in frontend development, with proficiency in React.js/Typescript.

Solid understanding of responsive web design principles and best practices.

Knowledge of cloud services (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).

Strong understanding of code versioning tools, such as Git.

Experience in delivering distributed and ML systems and services in a production setting for cloud-native applications

Experience with distributed compute frameworks and data processing pipelines Ability to design and build efficient scalable data storage, compute, and retrieval systems for AI/ML tasks

Preferably having experience working with ML systems and foundation models (e.g. large language models) and enterprise software products for machine learning and/or data science applications

Located in the San Francisco Bay Area or willing to relocate

We are proud to be an Equal Employment Opportunity employer and are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We embrace diversity and provide equal employment opportunities to all employees and applicants for employment. We prohibit discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.

About the company

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Worksite address

san francisco, CA, 94199, US

Who can apply

Review the original listing for work authorization, qualifications and employer requirements.

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