2

Remote Software Testing Jobs in Dayton, OH (NOW HIRING)

Software Engineer, Senior

Dayton, OH ยท On-site +1

$119K - $157K/yr

Background in signal processing, image processing, or remote sensing data workflows. * Experience ... Experience with CI/CD practices, automated testing, and DevSecOps tooling.

Software Engineer, Senior

Dayton, OH ยท On-site +1

$119K - $157K/yr

Background in signal processing, image processing, or remote sensing data workflows. * Experience ... Experience with CI/CD practices, automated testing, and DevSecOps tooling. Why Choose GRVTY The ...

Showing results 21-40

Remote Software Testing information

See Dayton, OH salary details

$18

$42

$67

How much do remote software testing jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for remote software testing in Dayton, OH is $42.29, according to ZipRecruiter salary data. Most workers in this role earn between $32.50 and $50.91 per hour, depending on experience, location, and employer.

What is remote software testing?

Remote software testing is the process of evaluating and verifying the functionality, performance, and security of software applications from a location outside the traditional office environment. Testers use various tools and platforms to access applications, execute test cases, report bugs, and collaborate with development teams online. This approach allows companies to leverage global talent, reduce costs, and offer flexible work arrangements while maintaining high-quality software standards.

What are the key skills and qualifications needed to thrive as a remote software tester?

To thrive as a Remote Software Tester, you need a solid understanding of software development lifecycle, test case design, bug reporting, and typically a degree in computer science or related fields. Familiarity with testing tools such as Selenium, JIRA, TestRail, and knowledge of automation frameworks or ISTQB certification is often required. Attention to detail, strong problem-solving skills, effective communication, and self-motivation are essential soft skills in this remote role. These skills ensure accurate testing, clear documentation, and seamless collaboration with distributed teams, leading to higher software quality.

What is the difference between Remote Software Testing vs Remote QA Analyst?

AspectRemote Software TestingRemote QA Analyst
CredentialsBasic testing certifications, knowledge of testing toolsTesting certifications, QA methodologies, sometimes degree in IT or related fields
Work EnvironmentRemote, often project-based, collaborative teamsRemote, involved in testing, documentation, and process improvement
Industry UsageSoftware development, tech companies, startupsSoftware companies, IT firms, product development teams
Search & Comparison IntentUnderstanding testing roles, entry-level testing jobsQA processes, quality assurance careers, detailed QA roles

Remote Software Testing focuses on executing test cases and identifying bugs, often requiring basic certifications and technical knowledge. Remote QA Analysts have a broader role, including testing, process analysis, and quality improvement, often with additional certifications. Both roles are remote and industry-specific, but QA Analysts typically engage in more comprehensive quality assurance activities.

How do remote software testers effectively communicate and collaborate with development teams?

Remote software testers typically use a variety of collaboration tools such as project management platforms, instant messaging, and video conferencing to stay connected with developers and other stakeholders. Clear, timely communication is essential for reporting bugs, sharing test results, and discussing requirements or issues. Regular stand-up meetings and detailed documentation help ensure everyone stays aligned, even when working across different time zones. Building strong relationships with team members and proactively raising concerns can also improve workflow and project outcomes.
What are the most commonly searched types of Software Testing jobs in Dayton, OH? The most popular types of Software Testing jobs in Dayton, OH are:
What job categories do people searching Remote Software Testing jobs in Dayton, OH look for? The top searched job categories for Remote Software Testing jobs in Dayton, OH are:
What cities near Dayton, OH are hiring for Remote Software Testing jobs? Cities near Dayton, OH with the most Remote Software Testing job openings:
Infographic showing various Remote Software Testing job openings in Dayton, OH as of August 2026, with employment types broken down into 1% Internship, 88% Full Time, 8% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $87,953 per year, or $42.3 per hour.

Software Engineer, Senior

GRVTY

Dayton, OH โ€ข On-site, Remote

$119K - $157K/yr

Full-time

Re-posted 18 days ago


Job description

What Impact You'll Have

GRVTY is looking for a Senior Software Engineer to join a small, technically focused team supporting national security missions at a customer site in Dayton, Ohio. This is hands-on engineering work - you will be designing and building Python-based software tools that support optical signature modeling, spectral data analysis, and machine learning-enabled sensor workflows. The work spans algorithm development, data pipeline construction, and integration of ML capabilities into operational and analytical environments.

You will work directly with scientists, sensor domain experts, and intelligence analysts - translating complex technical requirements into functional, maintainable software. This is not a role for someone looking to coast. We want someone who is technically sharp, can operate with a degree of autonomy, and understands that the software they build has real downstream impact on mission outcomes.

What You'll be Owning

  • Design, develop, and maintain Python-based software tools supporting optical signature modeling, spectral sensor data processing, and analytical workflows.
  • Work with sensor physicists, data scientists, and machine learning engineers to translate technical concepts and mission requirements into working software.
  • Build and optimize data pipelines for ingesting, processing, and analyzing large-scale scientific and sensor datasets.
  • Develop and integrate machine learning workflows - including training data preparation, model integration, and evaluation - into operational toolsets.
  • Create clear software architecture documentation, workflow diagrams, and code structure so tools can be maintained, extended, and transitioned effectively.
  • Test, validate, and troubleshoot algorithms and software modules across development and deployment environments, including classified workspaces.
  • Manage and maintain Git repositories with discipline - clean commits, meaningful documentation, and reproducible builds.
  • Contribute to a culture of technical rigor: peer reviews, coding standards, and honest engagement with complex problems.

What You Must Have

  • Active Top Secret clearance with ability to obtain SCI and CI polygraph.
  • Bachelor's degree in Computer Science, Engineering, Physics, Mathematics, Data Science, or a related STEM field. Equivalent hands-on experience will be considered.
    • 9+ years of professional software development experience, with demonstrated focus on scientific computing, algorithm development, data processing, or related technical domains or 7+ years of experience and a Masters degree
  • Expert-level Python programming, including object-oriented design, modular architecture, and production-quality code.
  • Experience developing software for data-intensive workflows - sensor data, scientific data, simulation, or equivalent.
  • Ability to work from technical or scientific requirements and produce well-structured software architecture, logic flows, and implementation plans.
  • Comfortable operating in both Windows and Linux environments, including secure or classified customer workspaces.
  • Familiarity with source control and development tooling: Git, GitLab, Bitbucket, Jira, Jenkins, or equivalent.
  • Strong communication skills - able to work directly with domain experts who are not software engineers and translate what they need into software that actually works.

What Would be Nice to Have

  • Experience with optical signature modeling, EO/IR sensor data, spectral analysis, or hyperspectral data processing.
  • Familiarity with machine learning frameworks and workflows: PyTorch, TensorFlow, scikit-learn, or equivalent.
  • Experience with scientific Python libraries: NumPy, pandas, OpenCV, SciPy, or similar.
  • Background in signal processing, image processing, or remote sensing data workflows.
  • Experience with simulation, modeling, or mission analysis software in a defense or intelligence context.
  • Familiarity with ML/Ops practices - training pipelines, data labeling, model evaluation, and deployment workflows.
  • Experience integrating algorithms into existing operational software suites.
  • Proficiency in a secondary technical language: C, C++, MATLAB, Java, or Rust.
  • Advanced degree in a relevant technical field (Computer Science, Electrical Engineering, Physics, Image Science, or related).
  • Prior experience supporting defense, intelligence, or classified customer environments.
  • Experience with CI/CD practices, automated testing, and DevSecOps tooling.