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Python Back Jobs in Santa Clara, CA (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 ...

Orbotech

Camera System Firmware Engineer

Milpitas, CA

$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)

Sunday Inc

Robotics Systems Engineer

Redwood City, CA · On-site

... to take back quality time. We have spent the last 18 months building a talented team, securing ... Maintain motor and sensor drivers, and related software tools, in Python / C++ * Develop clear ...

Collabera

Power Systems Engineer

Menlo Park, CA

Feed results back into models. Experience: Candidates should be able to show examples of the ... python or MATLAB) Education: Master's degree in Electrical Engineering, Physics, Mechanical ...

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Python Back information

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$15

$68

$101

How much do python back jobs pay per hour?

As of Jul 29, 2026, the average hourly pay for python back in Santa Clara, CA is $68.85, according to ZipRecruiter salary data. Most workers in this role earn between $56.73 and $78.22 per hour, depending on experience, location, and employer.

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 Santa Clara, CA? For Python Back jobs in Santa Clara, CA, the most frequently searched job titles are:
What job categories do people searching Python Back jobs in Santa Clara, CA look for? The top searched job categories for Python Back jobs in Santa Clara, CA are:
What cities near Santa Clara, CA are hiring for Python Back jobs? Cities near Santa Clara, CA with the most Python Back job openings:
Python Back jobs near you

AI Forward Deployed Engineer (FDE) - Only W2 Candidates

Tech Tandem Inc

San Jose, CA • On-site

Other

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

Job description

AI Forward Deployed Engineer (FDE)
San Jose , CA (Onsite/Hybrid)
Local candidate so PST candidates will work.
Role Overview & Responsibilities
Client-Embedded Execution: Work shoulder-to-shoulder with strategic enterprise customers to deploy AI capabilities directly into their live production systems.
AI System Integration: Build and scale Retrieval-Augmented Generation (RAG) pipelines, multi-agent orchestrations, and API integrations connecting LLMs to internal databases and enterprise software.
Evaluations & Optimization: Create testing and evaluation frameworks to minimize hallucinations, measure model performance, track observability, and drive cost efficiencies.
Feedback Loop: Translate custom client deployment hurdles and recurring field requirements back into core product and model roadmaps.
Required Qualifications & Skills
Engineering Stack: 3 5+ years of software development experience using Python, TypeScript, and SQL alongside full-stack system design.
AI Tooling: Hands-on experience with frameworks like LangChain, LangGraph, HuggingFace, vector databases, and model APIs (OpenAI, Anthropic, or similar).
Cloud & Infrastructure: Familiarity with deploying secure workloads via AWS, Azure, Google Cloud Platform, Docker, and Kubernetes within client environments.
Communication & Ambiguity: Exceptional stakeholder management skills to translate vague business problems into structured technical scope under pressure

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