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Software Test Automation Engineer Jobs in Oklahoma

SOFIDEL

CNV Project Automation Engineer

Inola, OK · On-site

We are seeking a CNV Project Automation Engineer to join our Chief Technology Officer organization. This role will support the development, implementation, and optimization of automation systems ...

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Software Test Automation Engineer information

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$9

$47

$69

How much do software test automation engineer jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for software test automation engineer in Oklahoma is $47.35, according to ZipRecruiter salary data. Most workers in this role earn between $40.82 and $53.94 per hour, depending on experience, location, and employer.

What is the difference between Software Test Automation Engineer vs QA Automation Tester?

AspectSoftware Test Automation EngineerQA Automation Tester
CredentialsBachelor's in CS or related field, certifications like ISTQB, automation tools knowledgeSimilar credentials, focus on testing certifications and automation skills
Work EnvironmentDevelops and maintains automation frameworks, collaborates with development teamsExecutes automated tests, reports bugs, ensures quality standards
Industry UsageUsed across software development companies, tech firms, and QA teamsCommonly found in QA departments within various industries

While both roles focus on automation testing, the Software Test Automation Engineer typically designs and develops automation frameworks and tools, whereas the QA Automation Tester primarily executes automated test cases and reports issues. The engineer's role is more technical and development-oriented, while the tester's role emphasizes test execution and quality assurance.

What is a software test automation engineer?

Software Test Automation Engineers are professionals responsible for designing, developing, and executing automated tests to ensure the quality and functionality of software applications. They use specialized tools and scripts to automate repetitive testing tasks, identify bugs, and improve the efficiency of the software development process. Their work helps teams deliver reliable software more quickly and with fewer manual errors.

What are some common challenges faced by software test automation engineers, and how can they be addressed?

Software Test Automation Engineers often encounter challenges such as maintaining test scripts amid frequent code changes, ensuring test coverage for new features, and dealing with flaky or unreliable tests. These can be addressed by regularly updating automated tests alongside development, implementing robust test design patterns, and collaborating closely with developers to understand code changes. Additionally, effective use of version control and continuous integration can help teams quickly identify and resolve automation issues, making the testing process more reliable and efficient.

What are the key skills and qualifications needed to thrive as a software test automation engineer, and why are they important?

To thrive as a Software Test Automation Engineer, you need a strong understanding of software testing principles, programming skills (often in languages such as Java, Python, or JavaScript), and a background in computer science or a related field. Familiarity with test automation frameworks (like Selenium, Cypress, or Appium), CI/CD systems, and relevant certifications such as ISTQB are typically required. Attention to detail, problem-solving abilities, and effective communication are essential soft skills in this role. These skills are crucial for ensuring software quality, streamlining development processes, and facilitating collaboration between development and QA teams.

What are popular job titles related to Software Test Automation Engineer jobs in OK?

For Software Test Automation Engineer jobs in OK, the most frequently searched job titles are:

Software Test Automation Engineer jobs near you
Infographic showing various Software Test Automation Engineer job openings in Oklahoma as of July 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $98,479 per year, or $47.3 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Broken Arrow, OK • On-site

Other

Re-posted 24 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply