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Remote Python Developer Google Jobs in Charlotte, NC

Sr Python Developer

Fort Mill, SC · Remote

$124K - $167K/yr

Job Title Sr Python Developer Location 100% Remote Work Duration 6 months + (Contract) MUST HAVE: * 7+ years of experience, senior level * Experience in Design and Development * Full Stack with ...

Cloud Platform Senior Consultant - Remote

Concord, NC · On-site +1

$54.50 - $74.25/hr

The Team Our engineers are fueled by a passion to impact the future of mobility. As part of an ... You will design, build, deploy, and operate cloud-native data infrastructure across AWS and Google ...

GCP AI Engineer

Charlotte, NC · Remote

$100 - $111/hr

Remote Start Date: 2 weeks after verbal offer Duration: Contract, 6 months (potential to convert to ... Apply DevOps and MLOps practices to move AI solutions from development into production, including ...

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Remote Python Developer Google information

See Charlotte, NC salary details

$12

$57

$84

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

As of Sep 7, 2026, the average hourly pay for remote python developer google in Charlotte, NC is $57.26, according to ZipRecruiter salary data. Most workers in this role earn between $47.21 and $65.05 per hour, depending on experience, location, and employer.

What does a remote Python developer at Google do?

A Remote Python Developer at Google is responsible for designing, developing, and maintaining software applications using the Python programming language. They collaborate with cross-functional teams to create scalable solutions, often focusing on backend services, data analysis, automation, or cloud-based applications. Working remotely, they leverage Google’s cloud infrastructure and tools to solve complex problems and deliver high-quality code. Effective communication, strong coding abilities, and familiarity with Google’s technical ecosystem are key for success in this role.

What are the key skills and qualifications needed to thrive as a remote Python developer at Google?

To thrive as a Remote Python Developer at Google, you need strong proficiency in Python programming, software development principles, and a relevant degree or equivalent experience. Familiarity with cloud platforms (like Google Cloud Platform), version control systems (such as Git), and experience with APIs or frameworks is often required. Excellent problem-solving skills, self-motivation, and effective remote communication are vital soft skills for this role. These capabilities ensure you can deliver high-quality, scalable solutions while collaborating efficiently within a distributed team environment.

How does a remote Python developer at Google typically collaborate with team members across different time zones?

As a Remote Python Developer at Google, you'll frequently work with colleagues located in various regions, which requires strong communication and organizational skills. Collaboration typically happens through tools like Google Meet, Slack, and shared code repositories, with regular virtual stand-ups and code reviews to ensure alignment. Flexibility in scheduling and proactive updates are key to successful teamwork, and Google encourages a culture of documentation and asynchronous communication to accommodate time zone differences. This structure allows developers to contribute effectively while maintaining a healthy work-life balance.

What are the most commonly searched types of Python Developer Google jobs in Charlotte, NC?

The most popular types of Python Developer Google jobs in Charlotte, NC are:

What are popular job titles related to Remote Python Developer Google jobs in Charlotte, NC?

For Remote Python Developer Google jobs in Charlotte, NC, the most frequently searched job titles are:

What job categories do people searching Remote Python Developer Google jobs in Charlotte, NC look for?

The top searched job categories for Remote Python Developer Google jobs in Charlotte, NC are:

Infographic showing various Remote Python Developer Google job openings in Charlotte, NC as of August 2026, with employment types broken down into 86% Full Time, 9% Part Time, and 5% Contract. Highlights an 69% Physical, 3% Hybrid, and 28% Remote job distribution, with an average salary of $119,093 per year, or $57.3 per hour.

AI/python developer openings

1 point system

Fort Mill, SC • Remote

$90 - $100/hr

Contractor

Re-posted 9 days ago


Job description

Hi ,
I hope you're doing well.

I'm reaching out regarding an exciting opportunity that I believe aligns well with your background and skill set.

To move forward, could you please provide the following details along with latest copy of resume:

Work Authorization and Expiry (If any)

LinkedIn Profile URL

Current Location with Zip code

Pay Expectation on W2 (hourly)

Complete JD:

Job Title

AI/python developer

Location

Remote

Rate

$90-100/hr on W2

Must have: any AI tooling, front end (either vue.js or react, or angular), python, Infrastructure as code (IAC) with Terraform, cloud experience

Position Summary

The AI Developer IV is a principal-level expert responsible for defining and owning enterprise-wide AI technical architecture while remaining hands-on in writing production code. This role provides organizational leadership for AI initiatives, leads highly complex and high-impact AI transformations, and serves as a trusted technical advisor to executive leadership.

The successful candidate will establish AI governance frameworks, influence long-term technology strategy, mentor senior engineering talent, and guide the adoption of emerging AI technologies across the organization. This position plays a critical role in advancing an AI-first engineering culture and driving innovation through modern software development practices.


Key Responsibilities

  • Define and lead the organization's enterprise AI architecture strategy.
  • Design, build, and deploy scalable AI-powered applications and distributed systems.
  • Provide technical leadership for large-scale AI transformation initiatives.
  • Develop production-quality software and remain hands-on with coding and solution implementation.
  • Partner with engineering, product management, research scientists, and business stakeholders to deliver strategic objectives.
  • Establish AI governance, best practices, security standards, and ethical AI frameworks.
  • Evaluate emerging AI technologies and recommend strategic investments.
  • Mentor senior engineers and cultivate future technical leaders.
  • Drive adoption of AI-assisted development tools and modern engineering practices.
  • Guide teams through architectural decisions involving cloud platforms, AI services, and data ecosystems.
  • Lead technical design reviews and influence enterprise-wide engineering standards.
  • Support multiple project teams operating in quarterly delivery cycles.

Team Environment

  • Cross-functional teams consisting of:
    • Software Engineers
    • Research Scientists
    • Product Managers
    • AI/ML Engineers
  • Typical project teams range from 1–5 engineers
  • Agile delivery model with quarterly planning and execution cycles
  • Strong focus on AI-first software engineering practices
  • Active use of AI-assisted development tooling

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related technical field
  • 15+ years of software engineering experience
  • Extensive experience designing and implementing enterprise-scale AI solutions
  • Expert-level Python development experience
  • Proven experience building scalable distributed systems
  • Strong understanding of AI/ML technologies and modern software architecture
  • Experience designing cloud-native applications within AWS and/or GCP environments
  • Strong expertise in infrastructure automation and Infrastructure as Code (Terraform)
  • Experience leading large technical programs and influencing organizational strategy
  • Excellent communication and stakeholder management skills

Required Technical Skills

Backend Development

  • Python (required)
  • Strong backend engineering experience
  • API and microservices design

Frontend Development

  • Vue.js (preferred)
  • React or Angular acceptable

Cloud & Infrastructure

  • AWS and/or Google Cloud Platform (GCP)
  • Terraform
  • Cloud-native architecture
  • Distributed systems

DevOps & Development Tools

  • GitLab
  • CI/CD pipelines
  • Infrastructure automation

Artificial Intelligence

  • Generative AI technologies
  • AI application architecture
  • AI-assisted development tools
  • Experience with tools such as:
    • Claude
    • Codex
    • GitHub Copilot
    • Similar AI engineering platforms