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Python Coding Jobs in Tulsa, OK (NOW HIRING)

Senior Software Engineer Specialist

Tulsa, OK · On-site

$92K - $121K/yr

Real-time Development Engineer 4 Job Code : 41937 Job Location: Tulsa, OK Schedule: 9/80 employees ... Minimum 2 years of experience with Python. Minimum 4 years of experience with NVIDIA CUDA.

Senior Specialist, Software Engineer

Tulsa, OK · On-site

$92K - $121K/yr

Proficiency in at least one programming language such as Python, Java, C#, JavaScript, or Go. * Experience with Infrastructure as Code tools such as Terraform or AWS CloudFormation. * Experience ...

Strong Python engineering skills, with familiarity in at least one of: optimization, forecasting ... Strong proficiency in Large Language Models (LLMs) ecosystem, including agentic coding, AI ...

Strong Python engineering skills, with familiarity in at least one of: optimization, forecasting ... Strong proficiency in Large Language Models (LLMs) ecosystem, including agentic coding, AI ...

Cloud Operations Expert

Tulsa, OK · On-site

$90 - $120/hr

Automatizzare attività operative con Bash, PowerShell e Python, creando script e procedure per aumentare l'efficienza del team; * Implementare e mantenere soluzioni Infrastructure as Code con ...

Security Architect

Tulsa, OK · On-site

$120 - $160/hr

Develop and enforce secure coding practices, frameworks, and review processes. * Collaborate with ... Strong full‑stack background with deep backend security expertise (Python, Go, C/C++, Rust, or ...

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Python Coding information

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How much do python coding jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for python coding in Tulsa, OK is $50.82, according to ZipRecruiter salary data. Most workers in this role earn between $41.88 and $57.74 per hour, depending on experience, location, and employer.

What is python coding?

A Python Coding job involves writing, testing, and maintaining software applications using the Python programming language. Professionals in this role may work in web development, data analysis, automation, artificial intelligence, or backend development. They often collaborate with teams to design algorithms, optimize code, and ensure software functionality. Strong problem-solving skills and knowledge of Python libraries and frameworks are essential for success in this role.

What does someone working in python coding do?

Professionals in Python Coding roles often spend their days writing, testing, and debugging code as part of software development projects, collaborating closely with team members such as developers, project managers, or data analysts. They may also review code written by peers, contribute to code documentation, and participate in team meetings to discuss project goals or troubleshoot issues. Some positions involve working on back-end systems, automating tasks, or supporting data operations depending on the organization's focus. The role offers a mix of independent problem-solving and teamwork, making adaptability and strong communication valuable assets.

What are the key skills and qualifications needed to thrive in python coding?

To thrive in Python Coding roles, you need a solid understanding of Python programming, problem-solving skills, and experience with common frameworks and libraries such as Django or Pandas. Familiarity with version control systems (like Git), integrated development environments (IDEs), and sometimes professional certifications like PCEP or PCAP are often advantageous. Strong analytical thinking, adaptability, and effective communication skills help individuals excel in collaborative projects and diverse development environments. These abilities are vital to deliver reliable code, work effectively in teams, and quickly adapt to evolving project requirements.

Are Python coders in demand?

Python coders are in high demand across many industries due to the language's versatility in web development, data analysis, machine learning, and automation. Employers seek professionals with strong programming skills, knowledge of frameworks like Django or Flask, and experience with data tools such as Pandas or NumPy. The demand is expected to grow as Python remains a key language in technology and data-driven fields.

Is Python coding a good career?

Python coding is a valuable skill in the tech industry, with demand across fields such as data analysis, web development, and automation. Python developers often have opportunities for high-paying roles, especially with experience and knowledge of frameworks like Django or data libraries like Pandas. Continuous learning and proficiency with tools like Git can enhance career prospects in Python programming.

What jobs can I get with Python coding?

Python coding skills can qualify you for roles such as software developer, data analyst, data scientist, machine learning engineer, automation engineer, and backend web developer. These jobs often require knowledge of frameworks like Django or Flask, and familiarity with data analysis libraries such as Pandas and NumPy.

What are popular job titles related to Python Coding jobs in Tulsa, OK?

For Python Coding jobs in Tulsa, OK, the most frequently searched job titles are:

What cities near Tulsa, OK are hiring for Python Coding jobs?

Cities near Tulsa, OK with the most Python Coding job openings:

Infographic showing various Python Coding job openings in Tulsa, OK as of August 2026, with employment types broken down into 1% Internship, 88% Full Time, 6% Part Time, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $105,712 per year, or $50.8 per hour.

Senior Software Engineer Specialist

L3HHCM20

Tulsa, OK • On-site

$92K - $121K/yr

Full-time

Re-posted yesterday


Job description

Job Title: Real-time Development Engineer 4

Job Code : 41937

Job Location: Tulsa, OK

Schedule: 9/80 employees work 9 out of 14 days- totaling 80 hours worked- and have every other Friday off

 

Job Description:


L3Harris is seeking a Developer, Software Engineering with experience in CUDA, C/C++, and Python to support the development of high-performance GPU-accelerated software for advanced mission applications. The selected candidate will work closely with software and algorithm teams to translate computational and image-processing algorithms into efficient CUDA C/C++ implementations for execution on NVIDIA GPU platforms.

This role is ideal for an engineer who enjoys performance optimization, parallel programming, and the challenge of converting algorithmic concepts into production-ready software. The position includes design, implementation, integration, profiling, test, and optimization of GPU-based software in a Linux development environment.  Our development efforts aim to achieve the best possible performance to meet demanding real-time requirements.

Essential Functions:

       Develop and maintain software in CUDA C/C++ for NVIDIA GPU-based systems.

       Translate and optimize computational algorithms into efficient GPU implementations.

       Support development of image processing and related high-performance software applications.

       Analyze existing software and algorithms to identify opportunities for parallelization and acceleration.

       Improve software performance through optimization of kernel execution, memory usage, and data movement.

       Develop and execute unit, integration, and performance tests to validate functionality and accuracy.

       Collaborate with cross-functional teams including software, systems, and algorithm engineers.

       Participate in software design reviews, code reviews, and technical discussions.

       Support software integration and debugging in Linux-based environments.

       Document software design, implementation, test results, and performance findings.

Qualifications:

 

       Bachelor's Degree and a minimum of 6 years of prior relevant software experience. Graduate Degree and a minimum of 4 years of prior related experience. In lieu of a degree, minimum of 10 years of prior related experience.

       Minimum 6 years of experience with C/C++.

       Minimum 2 years of experience with Python.

       Minimum 4 years of experience with NVIDIA CUDA.

       Experience developing software in Linux environments.

       Experience implementing or optimizing algorithms for performance-sensitive applications.

       Experience using source control and standard software development practices.

       Must be eligible to obtain a U.S. security clearance.

Preferred Additional Skills:

       Experience with GPU profiling and performance analysis tools such as Nsight Systems, Nsight Compute, NVIDIA Visual Profiler, Compute Sanitizer.

       Experience with image processing and/or computer vision applications. 

       Experience with TensorRT, cuFFT, cuBLAS, cuDNN, NPP, Thrust, and CUB. 

       Experience with Containerization with technologies such as Docker is a plus.

       Experience using DevOps pipelines and tooling is a plus.

       Experience translating prototype or research algorithms into production-quality implementations.

       Familiarity with software testing, benchmarking, and debugging techniques in high-performance computing environments.

       Experience developing for multiple CUDA Architectures and Compute Capabilities

       Knowledge of GPU Direct/RDMA, NVIDIA containerization, machine parallelism

 #LI-LT2