ZipRecruiter

Log In

1

Python Back Jobs in California (NOW HIRING)

1X Technologies AS

AI Residency

San Carlos, CA · On-site

$10K/mo

... their time back. Simple, but it's not. To do this right, we have to solve robotics, AI ... Proficiency with large Python codebases, experience writing tests, and familiarity with deep ...

ASK Consulting

Be Seen First

Sr Utility Project Manager (cur_1_128182@curatelyai.net)

Santa Ana, CA · On-site

$70 - $76/hr

... back office support of the CGI Outage Management System application at an Electrical Utility or similar. * OpenGrid Network, formerly known as PragmaUP/PragmaLINE, SQL database, python, windows ...

Orbotech

Camera System Firmware Engineer

Milpitas, CA · On-site

$117K - $200K/yr

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)

next page

Showing results 1-20

All JobsPython Back JobsPython Back Jobs in California

Python Back information

Will AI replace Python coders?

Python developers are unlikely to be fully replaced by AI, as coding often requires creativity, problem-solving, and understanding complex requirements that AI tools currently cannot replicate entirely. AI can assist programmers by automating repetitive tasks and providing code suggestions, but human oversight and expertise remain essential for designing, debugging, and maintaining software. Staying updated with new tools and improving problem-solving skills can help Python coders remain valuable in the evolving tech landscape.

What is the backend for Python?

In Python development, the backend refers to the server-side code that handles data processing, storage, and application logic. Python is commonly used for backend development with frameworks like Django and Flask, which facilitate building scalable and secure web applications. Knowledge of databases, APIs, and server management is also important for Python backend roles.

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 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 jobs can I do with just Python?

With Python skills, you can work as a Python developer, data analyst, automation engineer, or backend programmer. These roles often require knowledge of libraries like pandas, Django, or Flask, and may involve tasks such as scripting, data processing, or web development. Additional skills in databases, version control, and problem-solving enhance job prospects.

Is Python backend in demand?

Python backend development is highly in demand due to its versatility, ease of use, and extensive libraries for web frameworks like Django and Flask. Employers seek Python developers for building scalable, efficient server-side applications, often requiring knowledge of databases, APIs, and cloud deployment. The role typically offers competitive salaries and opportunities across various industries such as tech, finance, and healthcare.

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 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 are popular job titles related to Python Back jobs in California? For Python Back jobs in California, the most frequently searched job titles are:
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:
Python Back jobs near you
Infographic showing various Python Back job openings in California as of July 2026, with employment types broken down into 1% As Needed, 76% Full Time, 19% Part Time, and 4% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution.

Forward Deployed Engineer (Ayama)

career

San Francisco, CA • On-site, Remote

Full-time

Re-posted 22 days ago

Job description

Ayama has partnered with Andrew Ng's AI Fund and a Fortune 500 energy leader to use AI to reshape how $10+ Trillion of heavy assets operate, are managed, and are maintained. With electrification driving rapid growth in energy and reshoring accelerating the build out of U.S. electronics and IT manufacturing, the company plans to close critical gaps by raising asset uptime & output as well as staff productivity. Ayama is looking for a Forward Deployed Engineer to be the technical face of Ayama at our customers.

The Forward Deployed Engineer is customer-facing every day. You work with customer end users and customer IT teams primarily remotely, with periodic on-site visits to customer operational sites for deeper engagement, training, and incident response. This is a 100% hands-on role split between customer engagement and code. You write Python and SQL daily, debug across systems you didn't build, configure Ayama for each customer's operational reality, and translate field observations back into product decisions.

This is a full-time hybrid role located in the Bay Area. Additional locations will be considered in the Western US as long as you live within 30 miles of a major airport with daily flights to San Francisco. Some travel to customer sites will be required. There is no relocation package budgeted for this role.

Responsibilities for the Role Include:
  • Own customer deployments end-to-end at the technical working level: daily operations, training, configuration, incident triage
  • Configure Ayama for new customers: enterprise system integrations, operational data mappings, asset hierarchy, customer-specific workflows
  • Debug customer-affecting issues end-to-end: read logs, trace through pipelines, patch in production, file precise root-cause reports for engineering
  • Scope and execute pilot deployments as Ayama brings on new customers
  • Translate field reality into structured product feedback that engineering can act on directly
  • Build customer-specific scripts, integration adapters, and small tools that don't belong in core product code
Requirements For the Role Include:
  • 5+ years of hands-on software engineering experience
  • Daily Python fluency (Django/FastAPI preferred, transferable from Flask or other modern Python frameworks)
  • Strong SQL: joins, aggregations, window functions, and reading query plans
  • Track record of customer-facing engineering: deployments, integrations, or incident response with customers in the room
  • Comfort debugging production issues in code you didn't write
  • Direct, structured communication: you can write a clear bug report and explain a technical issue to a non-engineer
  • Cloud experience (GCP preferred) and at least one shipped integration with an enterprise system (ERP, CRM, CMMS, or similar)
Nice To Haves Include:
  • Prior Forward Deployed Engineer, Implementation Engineer, or Solutions Engineer experience at enterprise or B2B SaaS companies
  • ERP / CMMS integration experience
  • Industrial or operations domain background: heavy assets, telemetry, asset management
  • Background in a physical-engineering discipline (mechanical, electrical, industrial)
Why Join Ayama:
  • Exclusive Ecosystem: Unparalleled access to AI Fund's experts and Dr. Andrew Ng's network of AI luminaries.
  • Real-World Impact: We are solving critical performance gaps in energy supply while demand driven by global electrification skyrockets.
  • Growth Path: First role on what will become Ayama's customer engineering function. Lead and hire that team as the company scales.
The compensation package will include a base salary plus equity along with a full-benefits package.
 
Candidate must be eligible to work in the in the United States without sponsorship.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
apply for this job

Apply