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Contract Python Developer Google Jobs in California

Vings Technologies

Python Backend Engineer

San Jose, CA · On-site

Contract: Longterm. Experience: 10 years Mandatory Skills: Language: Expert-level proficiency in ... Proficiency with Docker, AWS/Google Cloud Platform, and asynchronous task queues. Role Overview: We ...

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Evolver

Senior GenAI Engineer (Python)

Palo Alto, CA · Hybrid

$142K - $192K/yr

As a Senior GenAI Developer, you will lead the design, development, and deployment of scalable ... Experience with LLMs from OpenAI, Anthropic, Google, or Meta and their application in chatbots, RAG ...

Evolver

Senior GenAI Engineer (Python)

Palo Alto, CA · On-site

$142K - $192K/yr

As a Senior GenAI Developer, you will lead the design, development, and deployment of scalable ... Experience with LLMs from OpenAI, Anthropic, Google, or Meta and their application in chatbots, RAG ...

MongoDB

Senior Python Engineer

Ontario, CA · On-site +1

$123K - $166K/yr

Our mission is to increase developer adoption, satisfaction and retention by providing a reliable ... Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including 75 ...

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Contract Python Developer Google information

How does working as a Contract Python Developer at Google typically integrate with permanent engineering teams?

As a Contract Python Developer at Google, you'll often work closely with permanent engineering teams on specific projects or to address particular skill gaps. Contractors are usually expected to quickly adapt to existing codebases and contribute to ongoing development cycles, collaborating through code reviews, stand-ups, and sprint planning. While you may not participate in long-term strategic planning, your input is valued in delivering high-quality, scalable solutions. Effective communication and the ability to onboard rapidly are key to success in this dynamic environment.

What does a Contract Python Developer do at Google?

A Contract Python Developer at Google is responsible for designing, developing, testing, and maintaining Python applications or scripts that support various projects and services. They typically work on a contract basis, contributing to short- or long-term initiatives, such as data analysis, automation, backend development, or integration tasks. Contract developers often collaborate with full-time engineers and other teams to deliver scalable and efficient solutions that meet Google's high standards. Their work may involve using Google Cloud Platform, APIs, and other internal tools to solve technical challenges.

What is the difference between Contract Python Developer Google vs Contract Python Engineer?

AspectContract Python Developer GoogleContract Python Engineer
Required CredentialsPython certification, relevant experience, possibly Google-specific toolsPython certification, general software engineering experience
Work EnvironmentGoogle's offices or remote, collaborative teams, fast-paced projectsVaries by employer, often remote or on-site, project-based
Industry UsagePrimarily in tech, cloud, and software servicesTech, finance, startups, and enterprise sectors
Search & Comparison IntentLooking for Google-specific contract roles involving PythonGeneral Python contract roles in various industries

Contract Python Developer Google typically involves working on Google's platforms with specific tools and environments, often requiring familiarity with Google Cloud. Contract Python Engineer is a broader role applicable across multiple industries, focusing on Python development without the Google-specific context. Both roles demand strong Python skills, but the Google role emphasizes familiarity with Google's ecosystem.

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

To thrive as a Contract Python Developer at Google, you need strong proficiency in Python programming, experience with software development lifecycles, and a relevant technical degree or equivalent experience. Familiarity with Google Cloud Platform (GCP), code versioning tools like Git, and frameworks such as Django or Flask is typically required. Strong problem-solving skills, attention to detail, and effective communication are essential soft skills for this role. These abilities ensure high-quality, scalable code delivery and smooth collaboration within dynamic, fast-paced engineering teams at Google.
What are the most commonly searched types of Python Developer Google jobs in California? The most popular types of Python Developer Google jobs in California are:
What cities in California are hiring for Contract Python Developer Google jobs? Cities in California with the most Contract Python Developer Google job openings:
Contract Python Developer Google jobs near you
Infographic showing various Contract Python Developer Google job openings in California as of July 2026, with employment types broken down into 50% Part Time, and 50% Contract. Highlights an 50% In-person, and 50% Hybrid job distribution.
Python Backend Engineer

Python Backend Engineer

Vings Technologies

San Jose, CA • On-site

Other

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Job description

Role: Python Backend Engineer
Working Location: San Jose, CA – Onsite and In-Person Interview
In-Person Interview Location: Santa Clara, CA l Austin, TX l Washington DC.
Contract: Longterm.
Experience: 10 years
Job Description:
 
Mandatory Skills:
Language: Expert-level proficiency in Python (3.10+ preferred).
Frameworks: Deep experience with Fast API, Django
AI Tooling: Familiarity with Lang Chain, Llama Index, or similar frameworks for agentic workflows.
Databases: Strong knowledge of SQL (PostgreSQL) and NoSQL (Redis, MongoDB), plus experience with Vector Databases (Pinecone, we aviate).
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 Fast API, Django
-AI Tooling: Familiarity with Lang Chain, Llama Index, or similar frameworks for agentic workflows.
-Databases: Strong knowledge of SQL (PostgreSQL) and NoSQL (Redis, MongoDB), plus experience with Vector Databases (Pinecone, we aviate).

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