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Python Fastapi Developer Jobs in California (NOW HIRING)

Python Developer

Santa Clara, CA · On-site +1

$87.20K - $90K/yr

Role - Python Developer Location - US (Remote) Required Skills & Qualifications Basic to ... Django / Flask / FastAPI (academic or personal projects acceptable) Understanding of REST APIs and ...

Job Summary : Diverse Lynx is seeking a Python Backend Engineer to build the backbone of their ... Responsibilities : • Design, build, and maintain robust, high-throughput APIs (FastAPI, Django ...

Job Summary : Diverse Lynx is seeking a Python Backend Engineer to build the backbone of their ... Responsibilities : • Design, build, and maintain robust, high-throughput APIs (FastAPI, Django ...

... developer tools, marketplace, billing, admin) * Develop high-performance UIs using React * Design and implement APIs and backend services using Python (FastAPI) and/or Node.js * Define clean ...

Diverse Lynx is seeking a Python Engineer to build the backbone of their platform. The role ... Responsibilities : • Design, build, and maintain robust, high-throughput APIs (FastAPI, Django ...

Sr AWS/Python Developer Lead

San Francisco, CA

$164.90K - $202.60K/yr

Advanced proficiency in Python with frameworks such as Flask, FastAPI, or Django . * Experience ... Knowledge of DevOps practices including CI/CD pipelines and Infrastructure as Code. * Strong ...

Python Developer

Santa Clara, CA · On-site +1

$87.20K - $90K/yr

Role - Python Developer Location - US (Remote) Required Skills & Qualifications Basic to ... Django / Flask / FastAPI (academic or personal projects acceptable) Understanding of REST APIs and ...

Lead Python / PySpark Developer

San Francisco, CA

$164.90K - $202.60K/yr

Develop and support APIs using FastAPI and/or Flask * Collaborate within a Scrum team, partnering ... Act as a Python SME, mentoring engineers transitioning from mainframe technologies * Contribute to ...

Python Developer

Santa Clara, CA · On-site

$87.20K - $90K/yr

Role - Python Developer Location - US (Remote) Required Skills & Qualifications Basic to ... Django / Flask / FastAPI (academic or personal projects acceptable) Understanding of REST APIs and ...

Senior Python AWS Data Engineer

Irvine, CA

$130.40K - $175.50K/yr

Senior Python AWS Data Engineer Location Irvine, CA 92618 (Onsite) Duration:12 Months Job Details ... Proven experience in building APIs using FastAPI or similar frameworks. Deep understanding of AWS ...

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Python Fastapi Developer information

What is a Python FastAPI Developer job?

A Python FastAPI Developer is responsible for designing, developing, and maintaining backend applications using FastAPI, a modern web framework for building APIs with Python. They work on creating high-performance APIs, integrating with databases, implementing authentication, and ensuring scalability. This role often involves working with asynchronous programming, cloud services, and containerization tools like Docker. Developers collaborate with teams to create efficient, secure, and well-documented API endpoints for web and mobile applications.

What are the key skills and qualifications needed to thrive in the Python Fastapi Developer position, and why are they important?

To thrive as a Python FastAPI Developer, you need strong proficiency in Python programming, experience designing RESTful APIs with FastAPI, and a background in web development concepts. Familiarity with version control systems like Git, containerization tools such as Docker, and knowledge of cloud platforms or SQL/NoSQL databases are commonly required, and certifications in cloud services or Python development can be advantageous. Excellent problem-solving skills, effective communication, and the ability to collaborate in agile teams help developers contribute efficiently to complex projects. These competencies ensure robust, scalable backend solutions and smooth coordination within development teams to meet business goals.

What are some typical daily tasks for a Python FastAPI Developer?

A Python FastAPI Developer typically spends their day designing, developing, and maintaining RESTful APIs to support web or mobile applications. This involves writing clean and efficient Python code, collaborating with frontend developers or other backend engineers to integrate new features, and ensuring the application meets performance and security standards. Developers also participate in code reviews, debugging, and continuous integration processes, while regularly communicating with product managers or stakeholders to align on project requirements. Staying up to date with FastAPI enhancements and industry best practices is also a common part of the role.
What job categories do people searching Python Fastapi Developer jobs in California look for? The top searched job categories for Python Fastapi Developer jobs in California are:
What cities in California are hiring for Python Fastapi Developer jobs? Cities in California with the most Python Fastapi Developer job openings:

Site Reliability Engineer

LiteLLM AI Gateway

San Francisco, CA • On-site

$150K - $200K/yr

Full-time

Posted 6 days ago


Job description

LiteLLM is the world's most popular AI Gateway used by the largest companies (Adobe, Netflix, NASA, etc.) in the world to give their developers access to LLMs and adjacent services (MCP's, Vector Stores, etc.).
Why do companies use LiteLLM Enterprise
Companies use LiteLLM Enterprise once they put LiteLLM into production and need enterprise features like Prometheus metrics (production monitoring) and need to give LLM access to a large number of people with SSO (secure sign on) or JWT (JSON Web Tokens).
What you will be working on
Skills: Python, FastAPI, PostgreSQL, Redis, Kubernetes, Prometheus, performance profiling
As the SRE, you'll own the reliability and performance of the LiteLLM proxy in production. Our users run LiteLLM as a critical gateway handling millions of LLM requests - when it goes down, their entire AI stack goes down. You'll work directly with the CEO and CTO on critical projects including:
  • Fixing OOM issues - e.g. Prisma Query Engine unable to recover from OOMKill in K8s deployments, unbounded in-memory buffers in spend log transactions
  • Solving database connection problems - e.g. database query limits getting reached under load, spend logs loading extremely slowly, Prisma connection pool exhaustion
  • Fixing race conditions and deadlocks - e.g. max_parallel_requests deadlocking API keys after provider timeouts (counter never released, Redis reset required), PodLockManager releasing another pod's lock, in-memory cache increment race conditions
  • Performance optimization - e.g. update_database() doing 7 deep copies per request in the spend tracking hot path, health check fan-out overloading startup
  • Improving Redis/cache reliability - e.g. budget limiter reading stale Redis data, cache sync issues between in-memory and Redis layers
  • Production monitoring - making Prometheus metrics accurate (fixing missing/inf budget metrics), adding alerting, improving observability for multi-pod deployments
  • Making the proxy self-healing - graceful degradation when DB/Redis is temporarily unavailable, connection retry logic, proper health checks

What is our tech stack
The tech stack includes Python, FastAPI, Redis, Postgres, Prisma ORM, Kubernetes, Prometheus, Docker.
Who we are looking for
  • 1-4 years of experience running Python services in production at scale
  • Experience debugging OOMs, memory leaks, connection pool issues, and race conditions
  • Comfortable with PostgreSQL (query optimization, connection pooling, PgBouncer) and Redis
  • Kubernetes experience - you've dealt with pod restarts, resource limits, health probes, and multi-replica coordination
  • Familiarity with Prometheus/Grafana for monitoring and alerting
  • Passion for open source and user engagement
  • Strong work ethic and ability to thrive in small teams
  • Eagerness to talk to users and help solve real problems - our GitHub issues are full of production debugging sessions and you'd be jumping into those directly

About LiteLLM
LiteLLM (https://github.com/BerriAI/litellm) is a Python SDK, Proxy Server (LLM Gateway) to call 100+ LLM APIs in OpenAI format - [Bedrock, Azure, OpenAI, VertexAI, Cohere] and is used by companies like Rocket Money, Adobe, Twilio, and Siemens.