1

Senior Python Developer Jobs in North Carolina (NOW HIRING)

... Senior AI Developer to join their AI Engineering team. The role involves architecting and ... Required : • Deep expertise in Python development • Experience with distributed cloud ...

Position Overview We are seeking a highly experienced Senior / Lead AI Developer to join our ... OR Pittsburgh The ideal candidate has deep expertise in Python development, distributed cloud ...

Position Overview We are seeking a highly experienced Senior / Lead AI Developer to join our ... OR Pittsburgh The ideal candidate has deep expertise in Python development, distributed cloud ...

next page

Showing results 1-20

Senior Python Developer information

See North Carolina salary details

$50K

$129K

$177.2K

How much do senior python developer jobs pay per year?

As of May 30, 2026, the average yearly pay for senior python developer in North Carolina is $129,028.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,400.00 and $148,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Senior Python Developer, and why are they important?

To thrive as a Senior Python Developer, you need advanced proficiency in Python programming, experience with software architecture, and a solid understanding of algorithms and data structures, usually backed by a degree in computer science or related fields. Familiarity with frameworks like Django or Flask, version control systems such as Git, and containerization tools like Docker are typically required, alongside knowledge of modern CI/CD pipelines. Strong problem-solving abilities, effective communication, and leadership skills help you collaborate with teams and mentor junior developers. Mastery of these skills ensures the delivery of scalable, maintainable software solutions and the ability to drive technical excellence within development teams.

What are some common challenges faced by Senior Python Developers when leading a development team?

Senior Python Developers often encounter challenges such as balancing hands-on coding with mentoring junior team members and ensuring code quality across the team. They are also responsible for making architectural decisions, which requires staying updated on best practices and emerging Python frameworks. Additionally, coordinating collaboration between cross-functional teams (like DevOps, QA, and front-end developers) can be complex, especially in agile environments where requirements may shift rapidly. Overcoming these challenges helps foster a productive and innovative team culture.

What are the main responsibilities of a Senior Python Developer?

A Senior Python Developer is responsible for designing, developing, and maintaining complex software applications using the Python programming language. They lead the technical aspects of projects, mentor junior developers, and ensure code quality through code reviews and best practices. Additionally, they collaborate with cross-functional teams to gather requirements, solve technical challenges, and deploy scalable and efficient solutions. Senior Python Developers are also expected to stay updated with the latest trends and advancements in Python and related technologies.

What is the difference between Senior Python Developer vs Python Developer?

AspectSenior Python DeveloperPython Developer
Required ExperienceTypically 5+ years, with leadership and complex project experienceUsually 1-3 years, focusing on core Python skills
ResponsibilitiesDesigning architecture, mentoring, handling complex systemsWriting code, debugging, implementing features
CertificationsOptional but beneficial (e.g., Python certifications, cloud certs)Often not required
Work EnvironmentCollaborative teams, project planning, code reviewsDevelopment-focused, task-oriented

The main difference between a Senior Python Developer and a Python Developer lies in experience, responsibilities, and leadership. Senior developers handle complex projects, mentor others, and often participate in architecture decisions, while Python Developers focus on coding and feature implementation. Both roles are essential in tech companies, but the senior role requires more experience and broader skills.

What are the most commonly searched types of Python Developer jobs in North Carolina? The most popular types of Python Developer jobs in North Carolina are:
What are popular job titles related to Senior Python Developer jobs in North Carolina? For Senior Python Developer jobs in North Carolina, the most frequently searched job titles are:
What job categories do people searching Senior Python Developer jobs in North Carolina look for? The top searched job categories for Senior Python Developer jobs in North Carolina are:
What cities in North Carolina are hiring for Senior Python Developer jobs? Cities in North Carolina with the most Senior Python Developer job openings:
What are popular job titles related to Senior Python Developer jobs in NC? For Senior Python Developer jobs in NC, the most frequently searched job titles are:
Infographic showing various Senior Python Developer job openings in North Carolina as of May 2026, with employment types broken down into 75% Full Time, 19% Part Time, and 6% Contract. Highlights an 92% Physical, 5% Hybrid, and 3% Remote job distribution, with an average salary of $129,028 per year, or $62 per hour.
Software Engineer 4 - GenAI / Python Full Stack

Software Engineer 4 - GenAI / Python Full Stack

Strategic Staffing Solutions

Charlotte, NC • Hybrid

Other

Posted 10 days ago


Job description

Job Description Software Engineer 4 - GenAI / Python Full Stack Contract: 18-Month Contract (Potential Extension or Conversion) Location: Charlotte, NC or Irving, TX Schedule: Hybrid - 3 Days Onsite Required Interview Process: 1 Round - 45 Minute Virtual Panel Line of Business: COO Technology / Supply Security & Resiliency Position Overview Seeking a senior Software Engineer with strong Python full-stack development experience and hands-on exposure to enterprise GenAI technologies. This role will support large-scale enterprise initiatives focused on modernizing and optimizing technology platforms within a complex enterprise environment. The ideal candidate has deep experience building scalable Python applications, REST APIs, cloud-native solutions, CI/CD pipelines, and GenAI-enabled workflows using modern AI frameworks and orchestration tools.

Key Responsibilities Design, develop, test, debug, and deploy scalable enterprise applications and APIs Build and support Python full-stack solutions using FastAPI, Flask, Django, and front-end integrations Develop and support cloud-native applications in OpenShift (OCP) and GCP environments Participate in all phases of the SDLC including architecture, development, testing, deployment, and support Implement CI/CD automation and integration processes Develop and support GenAI-enabled applications and intelligent workflows Build scalable AI evaluation and assessment frameworks Collaborate with engineering teams, business stakeholders, and enterprise architects Mentor junior engineers and contribute to engineering standards and best practices Support enterprise-grade resiliency, scalability, and operational excellence initiatives Required Qualifications 5+ years of Software Engineering experience 5+ years of Python full-stack development experience Strong experience with: FastAPI Flask Django RESTful API development Front-end integration 3+ years of experience with: Autosys OpenShift (OCP) GCP or equivalent cloud platforms CI/CD pipelines Identity Access Management (IAM) 1+ year of GenAI development experience Strong analytical, troubleshooting, and problem-solving skills Ability to work independently and within enterprise-scale teams Desired Qualifications Experience with: LangChain LangGraph LangSmith Multi-agent orchestration Vector databases MCP (Model Context Protocol) Familiarity with: Google ADK Semantic Kernel AutoGen Responsible AI frameworks Enterprise AI governance LLM-as-a-Judge evaluation techniques Experience with: NumPy Pandas PostgreSQL ETL pipelines S3 data handling AI evaluation frameworks Financial services industry experience preferred Ideal Candidate Profile Senior Python engineer with enterprise cloud and GenAI experience Strong background in scalable distributed application development Comfortable working in highly regulated enterprise environments Experience building AI-enabled enterprise applications and automation solutions Strong collaborator with leadership and mentoring capabilities