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Fastapi Developer Jobs in San Francisco, CA (NOW HIRING)

Weekday AI

Full Stack Engineer

San Francisco, CA

$180K - $250K/yr

Build robust server-side applications using Python (FastAPI, Flask, or Django), integrating with ... Cloud & DevOps: Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines, along ...

Weekday AI

Full Stack Engineer

San Francisco, CA · On-site

$180K - $250K/yr

Build robust server-side applications using Python (FastAPI, Flask, or Django), integrating with ... Cloud & DevOps: Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines, along ...

Sila

Forward Deployed Application Developer

Alameda, CA · Remote

$152K - $192K/yr

Work directly with Engineering, Operations, Battery Teams, Finance, and Supply Chain teams to ... Expert proficiency in Python (FastAPI, Flask) * Application Data Modeling: Advanced experience with ...

Pump.co

Backend Engineer

San Francisco, CA · On-site

Required : • 3-6 years of professional backend engineering experience • Ability to work 5 days a week in office • Proficiency in Python and familiarity with FastAPI or similar frameworks • ...

NxT Level

Senior Backend Engineer (SF)

San Francisco, CA · On-site

Build and scale backend services in Python and FastAPI supporting millions of healthcare requests ... Developer infrastructure or API platforms Experience with FHIR, HL7, EHR integrations, QHINs, HIPAA ...

New

Pump.co

Backend Engineer

San Francisco, CA · On-site

Required : • 3-15 years of professional backend engineering experience • Ability to work 5 days a week in office • Proficiency in Python and familiarity with FastAPI or similar frameworks • ...

NxT Level

Senior Backend Engineer (SF)

San Francisco, CA · On-site

Build and scale backend services in Python and FastAPI supporting millions of healthcare requests ... Developer infrastructure or API platforms Experience with FHIR, HL7, EHR integrations, QHINs, HIPAA ...

New

NxT Level

Senior Backend Engineer (SF)

San Francisco, CA · On-site

$200K - $240K/yr

Build and scale backend services in Python and FastAPI supporting millions of healthcare requests ... Developer infrastructure or API platforms Experience with FHIR, HL7, EHR integrations, QHINs, HIPAA ...

New

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How much do fastapi developer jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for fastapi developer in San Francisco, CA is $62.25, according to ZipRecruiter salary data. Most workers in this role earn between $47.60 and $76.20 per hour, depending on experience, location, and employer.

What is a FastAPI developer?

A FastAPI Developer is a software engineer who specializes in building web applications and APIs using the FastAPI framework, which is a modern, fast (high-performance) web framework for Python. FastAPI Developers are responsible for designing, developing, and maintaining backend services and APIs that are efficient, robust, and scalable. They often work with databases, authentication, and deployment processes, and ensure that the API endpoints adhere to best practices for security and performance. Their work is crucial for enabling smooth communication between front-end applications and backend systems.

What are the key skills and qualifications needed to thrive as a FastAPI developer?

To thrive as a FastAPI Developer, you need strong proficiency in Python programming, RESTful API design, and experience with FastAPI, often supported by a background in computer science or related fields. Familiarity with tools like SQL/NoSQL databases, Docker, and cloud platforms, as well as knowledge of asynchronous programming and API documentation tools like Swagger, is typically required. Excellent problem-solving skills, attention to detail, and effective communication set outstanding FastAPI developers apart. These skills are crucial for building reliable, high-performance APIs that meet modern application demands and facilitate seamless team collaboration.

What are some common challenges FastAPI developers face when integrating third-party services or APIs?

FastAPI Developers often encounter challenges when integrating third-party services, such as handling authentication protocols (like OAuth2), ensuring compatibility between JSON schemas, and managing asynchronous calls to avoid performance bottlenecks. It’s also common to troubleshoot and adapt to inconsistencies in external API documentation or rate limits. Collaborating closely with frontend teams and DevOps professionals helps streamline these integrations, ensuring robust, scalable API solutions.

What is the difference between Fastapi Developer vs Backend Developer?

AspectFastapi DeveloperBackend Developer
Required SkillsPython, Fastapi, REST APIs, async programmingMultiple languages (Python, Java, Node.js), REST/SOAP APIs, databases
Work EnvironmentWeb development, API-focused projects, microservicesBroader software development, server-side logic, database management
Industry UsageTech startups, SaaS, API-driven servicesEnterprise, e-commerce, finance, various industries

Fastapi Developers specialize in building high-performance APIs using Python and Fastapi, often within microservices architectures. Backend Developers have a broader scope, working with multiple languages and technologies to develop server-side applications across various industries. While Fastapi Developers focus on API efficiency, Backend Developers handle comprehensive backend systems.

What are the most commonly searched types of Fastapi Developer jobs in San Francisco, CA?

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Cities near San Francisco, CA with the most Fastapi Developer job openings:

Fastapi Developer jobs near you

Senior Software Engineer II, Enterprise Platform

Lila Sciences

San Francisco, CA

$144K - $190K/yr

Full-time

Re-posted 16 days ago

Job description

Your Impact at LILA

Lila Sciences is building the infrastructure for autonomous science - AI systems that design experiments, run them in physical labs, and close the loop across life sciences, chemistry, and materials science. Our platform enables this to operate reliably at scale for external customers who require security, auditability, and operational rigor.

We're hiring a Senior Software Engineer II, Enterprise Platform to own critical systems across two areas: the enterprise lifecycle (multi-tenancy, auth, auditability) and the developer ecosystem (public APIs, SDKs, MCP so customers and autonomous agents can interact with Lila's platform) that let customers and developers build on Lila. Our internal scientists across both physical and life sciences are first-class customers of this platform, so you'll build for them as directly as for external developers.

We move fast, ship weekly, and expect engineers who thrive in ambiguity, not ones who wait for requirements to be handed to them. You will own outcomes.

What You'll Be Building

Enterprise infrastructure is foundational to making autonomous science deployable in the real world. The systems built in this role will determine how large organizations safely adopt, govern, and scale AI-driven scientific workflows across teams, data domains, and regulatory environments. You'll help build the platform primitives that make that possible.

  • Multi-Tenancy & Authorization. Build secure tenant isolation, authentication, authorization, and audit across customer organizations. Implement the access boundaries and isolation guarantees that enterprise and regulated (e.g. GxP, FedRAMP) deployments require. Build resilient backend services in Python/FastAPI. Own schema design for multi-tenant data, tenant-aware query patterns, and operational correctness in a regulated environment.
  • Tenant Self-Serve & Lifecycle. Build the services behind tenant provisioning, self-serve administration, and the customer onboarding lifecycle. Support billing, pricing, and metering surfaces for enterprise customers.
  • Public & Agent-Facing APIs. Own and evolve Lila's public APIs (REST, streaming, async) designed for both human developers and autonomous agents as first-class consumers. Ship SDKs and define the tool/function interfaces agents call.
  • MCP & Agent Integration. Build the integration paths that connect MCPs, agents, and data into the platform.

What You'll Need to Succeed

  • 7+ years of backend software engineering, with meaningful experience in APIs, backend services, or platform infrastructure.
  • Strong expertise in one or more of: API design and versioning, multi-tenancy, authentication/authorization, or backend services at scale.
  • Solid in Python (e.g. FastAPI), Kubernetes, AWS, databases.
  • You care about developer experience - you know what makes APIs easy or painful. You write clear errors and think about backward compatibility.
  • Ship working code regularly. Debug production issues. Own systems end-to-end.
  • Work well across teams. You'll have real overlap with infra, data, apps, and science teams. Communicate tradeoffs clearly and make decisions under ambiguity.

Bonus Points For

  • Built or maintained multi-tenant SaaS platforms with audit, compliance, or isolation requirements (SOC 2, HIPAA, GxP, FedRAMP).
  • You've worked on platforms serving scientific or laboratory data such as LIMS, ELN, bioinformatics, or related systems, and understand the provenance and traceability requirements associated with scientific workflows.
  • Shipped public developer platforms, APIs, or SDKs and understand what makes integrations sticky.
  • Familiarity with MCP, OpenAPI, or OIDC/OAuth 2.0.
  • Worked on tenant isolation patterns (row-level security, schema per tenant, search-path isolation).
  • Experience with policy-based authorization (OPA) or externalized authz.

Apply