Member Of Technical Staff - Backend

Job Description

Job Description

Member of Technical Staff – Backend

Full-time | On-site | San Francisco, CA

About the Role

We’re seeking a Backend Engineer (Member of Technical Staff) with 5+ years of experience to design and build core systems that power large-scale AI and data processing capabilities.

This is a foundational engineering role with high visibility and ownership, ideal for someone who enjoys solving deep technical problems and building scalable systems from the ground up.

You’ll play a central part in developing backend infrastructure that supports machine learning pipelines, structured data extraction, and production-grade applications used by customers in finance and operations.

What You’ll Do

• Build Core Systems: Design and implement backend systems that deploy and scale machine learning capabilities for both training and production.

• Architect for Scale: Lead architectural decisions that enable rapid iteration and robust performance across user-facing and internal systems.

• Extract and Structure Data: Develop systems that transform complex financial and tax documents into high-quality structured data.

• Integrate ML and Applications: Connect machine learning inference, monitoring tools, and LLM interactions with business logic and application layers.

• Collaborate Cross-Functionally: Work with accountants, product teams, and engineers to translate real-world needs into reliable, efficient solutions.

• Optimize Infrastructure: Enhance CI/CD pipelines and database systems for performance, scalability, and seamless vendor API integrations.

Who You Are

• 5+ years of experience in backend software development, ideally in high-performance or data-heavy environments.

• Strong proficiency in Python and modern backend frameworks.

• Experience designing scalable, maintainable systems and APIs.

• Deep understanding of databases, data modeling, and system reliability.

• Comfortable operating in fast-paced, high-ownership settings where clarity evolves rapidly.

• Prior experience working with machine learning infrastructure or structured data pipelines is a plus.

Work Environment

• Location: Union Square, San Francisco

• Schedule: On-site, 5 days per week

• Culture: Collaborative, high-ownership environment working alongside experienced technical leaders and early engineers.

Compensation & Benefits

• Salary: $200K–$325K

• Equity: Stock options included

• Visa Sponsorship: Available



• Benefits: Comprehensive package including healthcare, PTO, and opportunities for professional growth.

Ready to take the next step?

Apply now or email Jenn at Recruiter@CareDynamicsFL.com to learn more.