Experience building RESTful APIs with FastAPI, Django REST, or Flask. * Experience making and ... Modern Python tooling (ruff, uv, pyproject.toml, pyright). * CI/CD pipeline experience (GitHub ...
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Experience building RESTful APIs with FastAPI, Django REST, or Flask. * Experience making and ... Modern Python tooling (ruff, uv, pyproject.toml, pyright). * CI/CD pipeline experience (GitHub ...
Remote Python Flask information
See Charlotte, NC salary details
$12.91 - $19.40
1% of jobs
$19.40 - $25.89
0% of jobs
$25.89 - $32.38
2% of jobs
$32.38 - $38.87
5% of jobs
$38.87 - $45.36
11% of jobs
$47.27 is the 25th percentile. Wages below this are outliers.
$45.36 - $51.85
18% of jobs
The median wage is $55.23 / hr.
$51.85 - $58.33
24% of jobs
$63.30 is the 75th percentile. Wages above this are outliers.
$58.33 - $64.82
18% of jobs
$64.82 - $71.31
13% of jobs
$71.31 - $77.80
5% of jobs
$77.80 - $84.29
3% of jobs
$12
$57
$84
How much do remote python flask jobs pay per hour?
As of May 28, 2026, the average hourly pay for remote python flask 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 are the key skills and qualifications needed to thrive as a Remote Python Flask Developer, and why are they important?
To thrive as a Remote Python Flask Developer, you need strong proficiency in Python programming, experience with Flask web framework, and a solid understanding of RESTful API design. Familiarity with version control systems like Git, cloud platforms (e.g., AWS or Azure), and knowledge of database technologies such as SQL or NoSQL are typically required. Excellent problem-solving, communication, and self-motivation are vital soft skills for working independently and collaborating remotely. These skills ensure high-quality, scalable web applications and effective teamwork in distributed environments.
How do Remote Python Flask developers typically collaborate with team members across different locations?
Remote Python Flask developers often work closely with distributed teams using collaborative tools like GitHub, Slack, and project management platforms such as Jira or Trello. Daily stand-ups, code reviews, and pair programming sessions are commonly held through video calls and screen sharing to maintain effective communication and code quality. Clear documentation and asynchronous communication are essential for aligning on project goals and resolving issues efficiently. This remote setup allows developers to contribute flexibly while staying connected with product managers, designers, and other engineers.
What are Remote Python Flask developers?
Remote Python Flask developers are software engineers who specialize in building web applications using the Flask framework with the Python programming language, while working from a location outside of a traditional office setting. They design, develop, test, and maintain backend and sometimes frontend components of web applications. These professionals collaborate with teams using online tools and communicate via email, chat, or video calls. Their responsibilities often include writing clean code, integrating APIs, troubleshooting issues, and deploying applications to cloud platforms.
What is the difference between Remote Python Flask vs Remote Django Developer?
| Aspect | Remote Python Flask | Remote Django Developer |
|---|---|---|
| Required Credentials | Python, Flask, REST APIs, basic HTML/CSS | Python, Django, REST APIs, HTML/CSS, JavaScript |
| Work Environment | Flexible remote, startup or small team | Flexible remote, larger teams or enterprise projects |
| Industry Usage | Web development, microservices, APIs | Full-stack web applications, content management systems |
| Common Search Intent | Building lightweight APIs, microservices | Developing full-featured web applications |
Remote Python Flask roles typically focus on creating lightweight APIs and microservices using Flask, suitable for startups and small teams. Remote Django Developer positions often involve building comprehensive web applications with Django's full-stack capabilities, often in larger or enterprise environments. Both roles require Python skills, but Django developers usually need additional knowledge of frontend technologies and Django-specific features.
What are the most commonly searched types of Python Flask jobs in Charlotte, NC? The most popular types of Python Flask jobs in Charlotte, NC are:
What are popular job titles related to Remote Python Flask jobs in Charlotte, NC? For Remote Python Flask jobs in Charlotte, NC, the most frequently searched job titles are:
What job categories do people searching Remote Python Flask jobs in Charlotte, NC look for? The top searched job categories for Remote Python Flask jobs in Charlotte, NC are:
Full-time
Posted 28 days ago
Job description
What You’ll Do:What We Offer:
- Write clean, production-grade Python across AI integrations, backend services, and RESTful APIs.
- Implement and optimize RAG systems for production use cases.
- Design and build LLM-based and agentic AI solutions that address real client business challenges.
- Own the technical direction of client engagements from discovery through delivery.
- Support presales: discovery calls, technical proposals, scoping, and client-facing demos.
- Lead architecture reviews, produce technical design documents, and contribute to standards across the Python practice.
- Mentor engineers, lead code reviews, and share knowledge across the team.
- Build and maintain strong relationships with key client stakeholders as a trusted technical advisor.
Mindset
- Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure.
- Already using AI tools in your daily workflow (Claude Code, Copilot, or similar).
- Proactive and self-directed; you own outcomes end-to-end and spot problems before they're handed to you.
- B2+ English, comfortable collaborating across distributed, multicultural teams.
Presales & Client Engagement
- Owns the client technical relationship; leading discovery, decomposing ambiguous requirements into technical components, presenting architecture, and pushing back on scope when it doesn't match timeline or budget.
- Produces scoped, phased delivery plans with clear deliverables, dependencies, and risks.
- Experience with cost estimation and cloud architecture cost optimization.
Python, AI & Cloud
- 7+ years building and running production systems, not only demos and POCs.
- Strong understanding of AI/ML concepts and experience integrating AI/ML components into solutions.
- Strong Python proficiency: OOP, design patterns, clean architecture, and performance optimization.
- Experience building RESTful APIs with FastAPI, Django REST, or Flask.
- Experience making and defending architectural trade-off decisions: microservices vs monolith, sync vs event-driven, SQL vs NoSQL.
- Strong testing practices: pytest, mocking, and integration tests for AI systems.
- Experience with Docker and Kubernetes.
- Hands-on experience building production LLM-based applications and agentic workflows.
- Experience with LLM APIs (OpenAI, Anthropic, or AWS Bedrock).
- Experience building and optimizing RAG systems.
- Understanding of LLM evaluation techniques and quality assurance approaches.
- Experience deploying and maintaining AI/ML models in production environments.
- Hands-on experience with AWS (SageMaker, Bedrock, Lambda, ECS, S3, SQS, ECR, or similar); GCP considered.
- Experience with React/Vue.
- AWS and Claude Code Certifications.
Nice to Have
- Experience with Streamlit or Gradio for AI prototyping.
- Modern Python tooling (ruff, uv, pyproject.toml, pyright).
- CI/CD pipeline experience (GitHub Actions, GitLab CI).
- Experience in an additional language (Go, Node.js, or Rust).
- Front-end experience.
- Opportunity to work with cutting-edge AI and cloud solutions.
- Internal training programs (Leadership, Public Speaking, and more) with full support for AWS and other professional certifications.
- Career growth: a clear path toward SA or beyond — we actively develop our engineers.
- Access to the latest AI tools and premium subscriptions.
- Remote with flexible hours.
- Unlimited Vacation policy.
- Generous health, vision, and dental insurance.
- 401(K) matching plan.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.