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Contract Python Jobs in Napa, CA (NOW HIRING)

EROS Technologies, Inc.

DevOps Engineer

San Francisco, CA · On-site

$62.25 - $85/hr

Contract/Full Time DevOps / Continuous Integration Experience with Jenkins, Gradle, and Artifactory ... bash, or ruby or python SDLC knowledge Great communication Additional Information All your ...

YO AI Labs

Java Open Source Contributor

San Francisco, CA · Remote

$60 - $77.75/hr

Contract Location: Remote Scope of Work: * Contribute production-quality code, reviews, and ... C++, Python, JAVA, GoLang, Typescript, or Rust. * Identify and resolve technical challenges, bugs ...

Staffingine LLC

AWS Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Contract * 7+ years of experience in Amazon Web Services (AWS) Cloud Computing * Strong background ... Python, Spark, and AWS services * ETL Development: Implement and manage ETL processes using AWS ...

QT Imaging, Inc.

Senior Electrical Engineer

Novato, CA · On-site

$100 - $125/hr

Support embedded and application-level development (C, C++, Python) for board bring-up, automation ... Familiarity with DFM/DFT practices, manufacturing test processes, and collaboration with contract ...

Gridmatic Inc

Analytics Engineer

San Francisco, CA · Hybrid

$175K - $208K/yr

Create a dashboard to track financial exposure across asset lines (e.g. commodity trading, retail electricity contracts, energy storage assets) * Convert existing python notebooks and excel workbooks ...

Zof AI

Technical Solutions Engineer

San Francisco, CA · On-site

$125 - $150/hr

This role builds the custom demos and proof-of-concepts that prove value before a contract is ... Experience with TypeScript, Python, or similar languages. * Experience in SaaS, AI, developer tools ...

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All JobsContract Python JobsContract Python Jobs in Napa, CA

Contract Python information

See Napa, CA salary details

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How much do contract python jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for contract python in Napa, CA is $66.45, according to ZipRecruiter salary data. Most workers in this role earn between $54.76 and $75.48 per hour, depending on experience, location, and employer.

What is a contract Python developer?

A Contract Python job is a temporary or project-based position where a developer is hired to work on Python-related tasks for a specific duration. These roles are often found in industries like software development, data science, and automation. Contract Python jobs can be freelance, short-term, or long-term, depending on the employer's needs. They offer flexibility but may not include benefits like full-time employment.

What kinds of projects and responsibilities can I expect as a contract Python developer?

As a Contract Python Developer, you can expect to work on a variety of projects ranging from web application development and API integrations to data processing, automation scripts, and machine learning tasks. Your daily responsibilities may include writing and testing code, debugging issues, collaborating with designers or front-end developers, and participating in code reviews. You'll often interact closely with project managers and clients to define requirements and provide technical solutions. The role offers exposure to different industries and technologies, making it a great opportunity to deepen your expertise and expand your professional network.

What are the key skills and qualifications needed to thrive as a contract Python developer?

To thrive as a Contract Python Developer, you need strong proficiency in Python programming, experience with frameworks such as Django or Flask, and a solid understanding of software development best practices. Familiarity with version control systems like Git, cloud platforms such as AWS or Azure, and relevant certifications such as AWS Certified Developer or Microsoft Certified: Azure Developer Associate are often advantageous. Excellent problem-solving skills, adaptability, and effective communication are essential soft skills in this role. These capabilities ensure you can deliver high-quality, maintainable code on time while collaborating effectively with diverse teams in dynamic, project-based environments.

What job categories do people searching Contract Python jobs in Napa, CA look for?

The top searched job categories for Contract Python jobs in Napa, CA are:

What cities near Napa, CA are hiring for Contract Python jobs?

Cities near Napa, CA with the most Contract Python job openings:

Contract Python jobs near you
Infographic showing various Contract Python job openings in Napa, CA as of August 2026, with employment types broken down into 50% Full Time, 20% Part Time, and 30% Contract. Highlights an 80% In-person, and 20% Hybrid job distribution, with an average salary of $138,208 per year, or $66.4 per hour.

Software Engineer, AI Runtime & Platform Services

San Francisco, CA • On-site

crewAI, Inc.
See more jobs at crewAI, Inc.external

$200 - $250/hr

Other

Re-posted yesterday

Job description

About CrewAI

CrewAI is the leading framework and enterprise platform for building and orchestrating multi-agent AI systems, powering 300M+ agent executions per month across thousands of companies. The Agent Management Platform is our control plane for deploying, monitoring, governing, and scaling agents in production.

The Role

You’ll work on the enterprise runtime layer that turns CrewAI’s open-source Crews and Flows into secure, observable, remotely executable production systems. This is the layer between the framework and the platform: APIs, workers, checkpoints, webhooks, auth, deployment behavior, telemetry, and enterprise extensions that make CrewAI run reliably in real customer environments.

You’ll partner closely with the open-source, product, and infrastructure teams, but your center of gravity is production execution: making agent workflows resumable, inspectable, authenticated, observable, and safe to operate at scale.

What You’ll Do
  • Build and maintain the Python enterprise runtime around CrewAI: FastAPI services, Celery workers, Redis-backed state, execution APIs, and deployment-facing tools.
  • Extend open-source CrewAI behavior for enterprise environments while preserving compatibility with upstream framework changes.
  • Own production execution flows: crew and flow kickoff, status, retries, cancellation, checkpoint restore and fork, chat/session state, and human-in-the-loop resume paths.
  • Build secure integration surfaces: JWT auth, signed webhooks, token refresh, file handling, secret fetching, and workload identity across AWS, GCP, and Azure.
  • Improve observability across distributed execution: OpenTelemetry traces, structured logs, Sentry, event tracking, and debuggability across API, worker, and platform boundaries.
  • Maintain strong test coverage for async/runtime behavior using pytest, mypy, ruff, mocks/fakes, and e2e deployment harnesses.
  • Partner with the Agent Management Platform team on API contracts, versioning, enterprise client behavior, deployment status, and failure reporting.
What We’re Looking For
  • Strong Python backend/platform engineering experience, especially building production services rather than only libraries.
  • Experience with FastAPI or similar API frameworks, Celery or other job systems, Redis, Pydantic, and typed Python.
  • Good instincts for distributed systems: retries, idempotency, async execution, status tracking, race conditions, and failure recovery.
  • Comfort with auth and security-sensitive systems: JWTs, webhooks, signatures, secrets, IAM/workload identity, and least-privilege thinking.
  • Practical observability experience: tracing, structured logging, metrics, Sentry/OpenTelemetry, and debugging multi-service failures.
  • Ability to work at the boundary between an open-source framework and a hosted enterprise platform without creating brittle coupling.
  • Strong testing habits and comfort with CI, package/version management, and release discipline.
Bonus
  • Experience operating AI/agent runtimes, workflow engines, or distributed task systems.
  • Cloud platform experience with AWS ECS/ECR, Kubernetes, Helm, GCP/Azure identity, or secret managers.
  • Experience with enterprise SaaS constraints: auditability, tenant isolation, customer environments, deployment rollbacks, and supportability.
  • Familiarity with Rails/SaaS platforms is useful, but not required.
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