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Python Relocation Jobs in California (NOW HIRING)

Key responsibilities Develop and maintain our core Python platform, which handles routing of ... We offer visa sponsorship and will help you relocate to San Francisco. Health, dental, and vision ...

Build and maintain Python fleet tracking system that manages the full lifecycle of servers ... We offer relocation assistance to San Francisco. * Health, dental, and vision insurance (US)

Senior Software Engineer

San Francisco, CA ยท On-site

$180K - $220K/yr

Balance frontend (React/TypeScript) and backend (Python) responsibilities * Collaborate closely ... Relocation assistance to SF or NY Ideal Companies * Figma

Senior Software Engineer

San Francisco, CA ยท Hybrid

$180K - $220K/yr

B alance frontend (React/TypeScript) and backend (Python) responsibilities * C ollaborate closely with the team to deliver impactful experiences for millions of users * W ork in a hybrid model (San ...

Build and maintain Python fleet tracking system that manages the full lifecycle of servers ... We offer relocation assistance to San Francisco. * Health, dental, and vision insurance (US)

Build backend services in Python and secure APIs * Ship front end features in React and TypeScript ... Competitive base salary plus equity, performance-based bonus, relocation assistance for Bay Area ...

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Python Relocation information

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How much do python relocation jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for python relocation in California is $57.85, according to ZipRecruiter salary data. Most workers in this role earn between $47.69 and $65.72 per hour, depending on experience, location, and employer.

What is a Python Relocation job?

A Python Relocation job refers to a position that requires Python programming skills and involves relocating to a different city or country. Employers may offer relocation assistance, including visa sponsorship, moving expenses, or temporary housing. These roles can be in various industries such as technology, finance, or data science.

What are the key skills and qualifications needed to thrive in the Python Relocation position, and why are they important?

To excel in a Python Relocation Specialist role, you need strong expertise in Python programming, data migration techniques, and experience with cloud platforms or system integrations, typically backed by a degree in computer science or related technical field. Familiarity with automated migration tools, version control systems like Git, and certifications such as AWS Certified Developer or Google Professional Cloud Developer are beneficial. Excellent problem-solving, project management, and clear communication skills are crucial soft skills for coordinating complex migrations and collaborating across teams. These competencies ensure smooth, efficient data or application relocations and minimize disruptions to business operations.

What are some common challenges faced by Python Relocation Specialists during migration projects?

Python Relocation Specialists often encounter challenges such as ensuring data integrity during large-scale transfers, managing compatibility issues between legacy and new systems, and minimizing downtime throughout the migration process. Addressing these obstacles typically requires thorough planning, rigorous testing, and collaboration with cross-functional teams like IT administrators and business stakeholders. Staying up-to-date with the latest migration tools and best practices can also help specialists anticipate and resolve potential issues more efficiently. Successful specialists proactively communicate with all parties involved to keep projects on track and ensure a seamless transition.

What job categories do people searching Python Relocation jobs in California look for? The top searched job categories for Python Relocation jobs in California are:

Senior Site Reliability Engineer

The Recruiting Guy

San Francisco, CA โ€ข On-site

$175K - $250K/yr

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

1 day ago Be among the first 25 applicants

This range is provided by The Recruiting Guy. Your actual pay will be based on your skills and experience โ€” talk with your recruiter to learn more.

Base pay range

$175,000.00/yr - $250,000.00/yr

Job Title: Senior Cloud Infrastructure Engineer
Location: San Francisco, CA. Remote unavailable.
Modality: On-Site only.
Must live within commuting distance of San Francisco or be willing to relocate.
Relocation Assistance: No
Employment Type: Salaried W2 Full-Time.
Salary Range: $175,000 - $250,000

About The Company

We represent a pioneering open source technology company in San Francisco that is transforming the way creators interact with generative AI. They are the team behind a powerful, node based visual interface that gives artists, developers, and innovators the ability to design, control, and customize AI workflows with complete flexibility. Their platform allows users to connect modular components, build complex pipelines, and run everything locally with impressive speed and precision. Their mission is to make generative AI open, transparent, and accessible to everyone. Built around community collaboration and creative empowerment, their tools help users experiment freely and bring their ideas to life. Whether it is visual storytelling, image generation, or advanced machine learning, their technology gives creators the freedom to explore without limitations.

About The Role

In this role, you will take the lead on designing, deploying, and maintaining large-scale distributed systems that power AI workloads. The ideal candidate is deeply technical, self-sufficient, and motivated by solving complex infrastructure challenges. You will work closely with core engineers to shape the companyโ€™s long-term infrastructure vision while ensuring scalability, performance, and reliability across environments.

What Youโ€™ll Do
  • Design, build, and maintain the core infrastructure that powers AI workloads at scale
  • Manage and automate GPU compute clusters using tools such as Python, Kubernetes, Terraform, and Ansible
  • Architect and operate systems for orchestration, observability, distributed storage, and networking
  • Ensure reliability, scalability, and performance across production environments
  • Collaborate closely with core engineers to design infrastructure for new features and systems
  • Contribute to technical strategy and long-term infrastructure vision
  • Drive best practices for infrastructure automation, deployment, and monitoring
Requirements
  • 5+ years experience as an Infrastructure Engineer or Site Reliability Engineer building and operating large-scale distributed systems
  • Skilled in Python and comfortable working with infrastructure-as-code tools such as Terraform and Ansible
  • Familiar with container orchestration systems such as Kubernetes and related tooling like FluxCD, Prometheus, and Grafana
  • Capable of managing high-performance GPU environments across cloud and bare metal setups
  • Highly adaptable, resourceful, and motivated by building things from the ground up
  • Excited to work in a small, fast-growing team where autonomy and accountability are key
  • Comfortable working on-site in a startup setting where collaboration and speed matter most
Bonus Points
  • Experience contributing to or maintaining open-source projects
  • Background working with AI infrastructure, ML pipelines, or GPU orchestration
  • Strong computer science fundamentals and ability to work across different programming languages or frameworks

Skills: prometheus,fluxcd,kubernetes,python,ansible,terraform,infrastructure,grafana

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