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Python Back Jobs in California (NOW HIRING)

KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert ... These frameworks operate stand-alone (Python) and large tool software environment (Jython)

LanceDB delivers both embedded and managed deployment models with rich SDKs in Rust, Python, and ... directly back to LanceDB's core product lines. Your real-world experience deploying LanceDB ...

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Python Back information

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

To thrive as a Python Backend Developer, you need strong programming skills in Python, a solid understanding of backend frameworks, and experience with APIs and databases, often supported by a relevant degree or certifications. Familiarity with tools like Django or Flask, RESTful API design, version control systems such as Git, and cloud platforms like AWS or Azure is typically required. Problem-solving, teamwork, and effective communication are crucial soft skills that set top performers apart. These competencies enable developers to build scalable, secure, and maintainable backend systems that meet business needs efficiently.

What are some common challenges Python Backend Developers face when optimizing application performance?

Python Backend Developers often encounter challenges related to optimizing application speed and scalability, especially when handling large volumes of data or high user traffic. Issues such as inefficient database queries, memory leaks, and suboptimal code structures can impact performance. Developers typically address these by profiling code, implementing caching strategies, and leveraging asynchronous programming where appropriate. Collaborating with DevOps teams to monitor performance metrics and employing tools like Redis, Celery, or load balancers also play a significant role in overcoming these challenges.

What is a Python Backend Developer?

A Python Backend Developer is a software engineer who specializes in building and maintaining the server-side logic of web applications using the Python programming language. They are responsible for creating APIs, managing databases, integrating with external services, and ensuring the overall performance and security of the backend systems. Python Backend Developers often work with frameworks like Django or Flask and collaborate with frontend developers to deliver seamless user experiences.

What is the difference between Python Back and Python Data Engineer?

AspectPython BackPython Data Engineer
Required CredentialsPython programming, basic database knowledgePython, SQL, data modeling certifications
Work EnvironmentBackend development teams, software companiesData teams, analytics departments
Industry UsageSoftware development, web servicesData analysis, big data projects
Common Search IntentBackend development with PythonData pipeline and infrastructure roles

Python Back focuses on backend development tasks using Python, such as server-side logic and API creation. Python Data Engineer specializes in building data pipelines, managing data storage, and working with large datasets. While both roles require Python skills, Python Data Engineers often need additional knowledge of SQL and data architecture. Understanding these differences helps job seekers target the right roles based on their skills and career goals.

What job categories do people searching Python Back jobs in California look for? The top searched job categories for Python Back jobs in California are:
What cities in California are hiring for Python Back jobs? Cities in California with the most Python Back job openings:
Infographic showing various Python Back job openings in California as of May 2026, with employment types broken down into 93% Full Time, 3% Part Time, 1% Temporary, and 3% Contract. Highlights an 73% Physical, 5% Hybrid, and 22% Remote job distribution.

Software Engineer, Product

Chai Discovery, Inc

San Francisco, CA • On-site

Full-time

Posted 5 days ago


Job description

About Chai Discovery
Chai is a research lab working on AI to unlock biology. Our models design new molecules for new medicines. We are changing how biologists develop drugs, just as language models are changing how engineers write code. Our vision is a design suite for molecules, with applications across life sciences, agriculture, materials and beyond.
Our founders have been at the forefront of this field from the beginning. We are backed by Thrive, General Catalyst, OpenAI, Dimension and other tier-one investors. We partner with global life sciences companies like Eli Lilly on deals that are transforming industry.
We are known for talent density, rigorous research and pace of execution.
About the role
Product engineers build the Chai software platform: tools for scientists to query models, visualize molecular structures, and interpret data with our AI in the loop. You'll collaborate on a daily basis with designers, ML researchers, and wet-lab teams to make complex science repeatable. You care about reliability, elegance and utility-on the product surface as well as what's under the hood.
After years of foundational R&D, Chai's models are moving beyond protein structure prediction into real-world therapeutic engineering. This is a chance to bring the most advanced AI drug design models to market, working alongside a craft-obsessed team of micro pessimists and macro-optimists.
About you
You are mission-driven and want to define the gold standard for purposeful AI technology. You should have:
Software experience:
  • Bachelor's degree or equivalent experience in Computer Science or related field.
  • 3 + years building production web applications with modern frameworks (React/Vue, TypeScript/JavaScript, Node/Go/Python back-ends).
  • Have a knack for finding the smallest amount of code to solve a user problem well.
  • Care about making pixel-perfect products.
  • Data-driven: instrument features, analyze usage, and iterate quickly on feedback
  • Familiar with automated testing, CI/CD pipelines, and monitoring/alerting for 24 × 7 production services
  • Experience optimizing performance or interactive visualizations is a plus

Communication & collaboration
  • Able to explain technical trade-offs to non-engineers and to translate scientific requirements into engineering tasks
  • Enjoy pair-reviewing code, writing docs, and sharing knowledge with teammates

Mindset:
  • Interest in biotech or computational biology; prior exposure to scientific data, bio-visualization, or HPC workloads is a bonus but not required
  • Comfortable iterating quickly in a startup where requirements, and underlying science, evolve fast
  • Bias for shipping: you value small, incremental improvements over big-bang rewrites
  • Clear communicator who can simplify complex science for external partners and internal stakeholders
  • Comfortable in a fast-moving startup where priorities shift and you own features end-to-end, from idea to production and beyond
We offer
The opportunity to work at the frontier of AI, with world-class people, on a mission that matters. We protect & promote a culture of high velocity and ownership. We offer highly competitive compensation.