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Backend Developer Python Jobs in California (NOW HIRING)

... backend code * Design flexible and scalable restful API's that enable dynamically linking with ... experience in Python * 2+ years of experience in SQL * Experience with Django or similar ORM'

Backend Engineer

San Francisco, CA · On-site

$170K - $230K/yr

Backend Engineer LiteLLM is the world's most popular AI Gateway, trusted by top companies like ... Bachelor's or Master's in Computer Science or related field * 1+ years of experience with Python ...

Backend Engineer LOCATION:Sunnyvale, CA Duration: 6 to 12+ Months Rate: DOE Description ... Must have Skills: Java, Spring Boot, Javascript, Python, RDBMS/SQL, Kubernetes Job Duties ...

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Backend Developer Python information

See California salary details

$15.8K

$146.3K

$188.5K

How much do backend developer python jobs pay per year?

As of Jun 1, 2026, the average yearly pay for backend developer python in California is $146,292.00, according to ZipRecruiter salary data. Most workers in this role earn between $143,600.00 and $165,300.00 per year, depending on experience, location, and employer.

What is a Backend Developer Python job?

A Backend Developer Python job involves building and maintaining the server-side logic of web applications using Python. This includes developing APIs, working with databases, ensuring application performance, and integrating third-party services. Python frameworks like Django or Flask are commonly used. Backend developers collaborate with frontend developers, DevOps engineers, and other team members to create efficient and scalable applications.

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

To thrive as a Backend Developer Python, you need in-depth proficiency in Python programming, expertise with backend frameworks (such as Django or Flask), experience designing APIs, and a strong understanding of database technologies. Familiarity with version control systems like Git, cloud platforms (AWS, Azure), and containerization tools (Docker) is typically expected, and certifications in these areas can be beneficial. Strong problem-solving abilities, effective communication skills, and a collaborative mindset help professionals succeed in team environments. These skills and qualities are vital to building robust, scalable applications and ensuring seamless integration within multidisciplinary development teams.

What does a typical day look like for a Backend Developer Python, and how does this role interact with other team members?

A typical day for a Backend Developer Python involves writing and testing server-side code, designing APIs, optimizing application performance, and reviewing code from team members. You’ll often participate in daily stand-up meetings, collaborate with front-end developers to ensure seamless integration, and work closely with QA testers to resolve bugs or issues. Communication with product managers or designers is also common to clarify requirements and ensure project goals are met. This collaborative and dynamic environment provides continuous opportunities for learning and professional growth.
What are the most commonly searched types of Backend Developer Python jobs in California? The most popular types of Backend Developer Python jobs in California are:
What job categories do people searching Backend Developer Python jobs in California look for? The top searched job categories for Backend Developer Python jobs in California are:
What cities in California are hiring for Backend Developer Python jobs? Cities in California with the most Backend Developer Python job openings:
Infographic showing various Backend Developer Python job openings in California as of May 2026, with employment types broken down into 2% Internship, 74% Full Time, 20% Part Time, and 4% Contract. Highlights an 73% Physical, 1% Hybrid, and 26% Remote job distribution, with an average salary of $146,292 per year, or $70.3 per hour.

Python Backend Engineer :: 5 Days Onsite :: San Jose, CA :: On W2 :: Only Locals

Prudent Technologies and Consulting

San Jose, CA • On-site

Other

This job post has expired today. Applications are no longer accepted.


Job description

Job Description: Python Backend Engineer
Job Location/Client Location (with City & State): San Jose,CA US

Mandatory Skills
Language: Expert-level proficiency in Python (3.10+ preferred).
Frameworks: Deep experience with FastAPI, Django
AI Tooling: Familiarity with LangChain, LlamaIndex, or similar frameworks for agentic workflows.
Databases: Strong knowledge of SQL (PostgreSQL) and NoSQL (Redis, MongoDB), plus experience with Vector Databases (Pinecone, Weaviate).
Infrastructure: Proficiency with Docker, AWS/Google Cloud Platform, and asynchronous task queues

Role Overview:
We are looking for a Python Backend Engineer to build the backbone of our platform. You will be responsible for creating high-performance APIs, integrating advanced AI agent logic, and ensuring our infrastructure remains rock-solid as we scale. If you enjoy solving complex architectural puzzles and want to work at the intersection of traditional backend engineering and AI
Core Responsibilities
Scalable API Development: Design, build, and maintain robust, high-throughput APIs (FastAPI, Django, or Flask) capable of handling millions of requests.
Agent Logic Integration: Architect the backend systems that power our AI agents, managing long-running tasks, state persistence, and seamless communication between LLMs and our core services.
Authentication & Security: Implement and manage secure identity protocols (OAuth2, JWT, OpenID Connect) to protect user data and internal endpoints.
Routing & Orchestration: Design efficient request routing and service communication patterns using tools like API Gateways, or Service Meshes.
Required Technical Skills
Language: Expert-level proficiency in Python (3.10+ preferred).
Frameworks: Deep experience with FastAPI, Django
AI Tooling: Familiarity with LangChain, Llama Index, or similar frameworks for agentic workflows.
Databases: Strong knowledge of SQL (PostgreSQL) and NoSQL (Redis, MongoDB), plus experience with Vector Databases (Pinecone, Weaviate).
Infrastructure: Proficiency with Docker, AWS/Google Cloud Platform, and asynchronous task queues