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Contract Python Developer Google Jobs in San Jose, CA

Senior GenAI Engineer (Python)

Palo Alto, CA ยท 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 ...

Senior GenAI Engineer (Python)

Palo Alto, CA ยท 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 ...

Python Backend Developer Location: San Ramon, CA - Only locals - Face to face interview MUST - Day ... Lon term Contract Must Haveโ€‹ * 8 to 15 years or experienceโ€‹ * Hands-on experience in Python ...

TPU SoC Design Engineer, Google Cloud

Sunnyvale, CA ยท On-site

$159K/yr

Experience in scripting (e.g., Python, Tcl, or Perl) and debugging with tools like Verdi or VCS ... for all ASIC engineers. You will be a key contributor to the development of Google's AI ...

Python SRE

Redwood City, CA ยท On-site

$61.50 - $84.75/hr

Python SRE Redwood City, CA Contract Responsibilities: * 3+ years of experience designing, building and implementing server software * Strong coding ability in an object-oriented language (Python ...

Showing results 21-40

Contract Python Developer Google information

See San Jose, CA salary details

$15

$68

$101

How much do contract python developer google jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for contract python developer google in San Jose, CA is $68.70, according to ZipRecruiter salary data. Most workers in this role earn between $56.63 and $78.03 per hour, depending on experience, location, and employer.

How does 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 San Jose, CA? The most popular types of Python Developer Google jobs in San Jose, CA are:
What cities near San Jose, CA are hiring for Contract Python Developer Google jobs? Cities near San Jose, CA with the most Contract Python Developer Google job openings:

Senior GenAI Engineer (Python)

Evolver

Palo Alto, CA โ€ข On-site

$142K - $192K/yr

Full-time

Re-posted 15 days ago


Job description

About Us:
We are an innovative AI startup focused on transforming professional services through cutting-edge Generative AI and deep domain expertise. Our agent-driven solutions automate complex workflows, engaging humans only when needed to maximize efficiency and accuracy. Join us at the forefront of AI innovation, where your expertise will directly shape the future of professional services.
Role Overview:We are looking for an experienced Python developer with a passion for Generative AI and hands-on expertise in cloud development. As a Senior GenAI Developer, you will lead the design, development, and deployment of scalable GenAI applications that redefine how professional services are delivered.
Key Responsibilities:
  • GenAI Development: Build a platform to support enterprise GenAI solutions leveraging large language models (LLMs) and state-of-the-art frameworks.
  • Cloud Development: Design and implement robust, cloud-native solutions, preferably on Azure.
  • Full-Stack Contribution: Drive development from concept to deployment, ensuring seamless integration across back-end and front-end components.
  • Model Optimization: Fine-tune LLMs, enhance data retrieval from structured/unstructured sources, and optimize prompt engineering and agent plans.
  • Collaboration: Work closely with cross-functional teams, including domain experts and product managers, to deliver solutions aligned with business needs.
  • Mentorship: Guide and support junior developers to foster technical growth within the team.
  • Innovation: Stay ahead of emerging trends in AI and GenAI to continuously elevate our technical capabilities.

Qualifications:
Experience:

  • 6+ years of professional experience in Python development, including deploying machine learning or Generative AI applications.
  • 2+ years of hands-on experience building and deploying AI/ML solutions in Azure.

Education:
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Technical Skills:
  • Advanced proficiency in Python and libraries such as PyTorch, Pandas, NumPy, or similar.
  • Experience with Cloud development, preferably Azure (e.g., Azure App Service, Azure Functions, Azure Database Services, Azure AI services, and Azure Search).
  • Experience with LLMs from OpenAI, Anthropic, Google, or Meta and their application in chatbots, RAG systems, and agents.
  • Familiarity with GenAI frameworks like LangChain, Semantic Kernel, or equivalent tools.

Soft Skills:
  • Excellent communication and collaboration skills in team-driven environments.
  • Analytical mindset with a strong focus on problem-solving.
  • Comfortable working in a fast-paced, dynamic startup culture.
  • Eagerness to learn and contribute to cutting-edge technologies.

Benefits
  • Competitive Compensation: Tailored to your experience and skill set.
  • Flexible Work Arrangements: Hybrid working model for work-life balance.
  • Career Growth: Opportunities for professional development and leadership roles.
  • Innovative Culture: Work on transformative technologies and make an impact in the AI space.