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Remote Software Troubleshooting Jobs in Virginia

Software Engineer, Senior

Herndon, VA ยท On-site +1

$126K - $166K/yr

Test, validate, and troubleshoot algorithms and software modules across development and deployment ... Background in signal processing, image processing, or remote sensing data workflows. * Experience ...

Senior Software Engineer

Ashburn, VA ยท Remote

$125K - $165K/yr

This is a remote position. The ideal candidate is a senior full-stack engineer who will provide ... Strong technical leadership, documentation, troubleshooting, performance-engineering, and ...

Design, troubleshoot, and implement software code for end-to-end software development * Design ... Must be able to work collaboratively across remote and physical locations Desired Skills

Senior Software Engineer

Chantilly, VA ยท On-site +1

$126K - $166K/yr

Support troubleshooting, root cause analysis, and resolution of complex technical issues Required ... Hybrid Work Environment Flexible work arrangements may include a combination of remote and onsite ...

Remote Support Technician, Journeyman

Arlington, VA ยท On-site +1

$43K - $54K/yr

Remote Support Technician, Journeyman Category: Service Desk / End User Services Main location ... They troubleshoot hardware and software issues, guide users through solutions, and perform system ...

Software Engineer, Senior

Herndon, VA ยท On-site +1

$126K - $166K/yr

Test, validate, and troubleshoot algorithms and software modules across development and deployment ... Background in signal processing, image processing, or remote sensing data workflows. * Experience ...

Software Engineer (TS/SCI with Poly)

Herndon, VA ยท On-site +1

$170K - $180K/yr

Demonstrated experience designing, implementing and troubleshooting complex cyptographic systems ... or remote, as dictated by position 4. 401(k) and company-funded life insurance 5. Generous Paid ...

Software Engineer, Medicaid

Arlington, VA ยท On-site +1

$100K - $120K/yr

Our entire team is remote across the United States, from the West Coast to the East Coast. There ... Troubleshoot, debug, and resolve issues in the production system * Write clean, scalable, and ...

Showing results 21-40

Remote Software Troubleshooting information

What is remote software troubleshooting?

Remote software troubleshooting is the process of diagnosing and resolving software issues on a user's computer or device from a different location, using remote access tools and communication technologies. Technicians can connect to the affected system over the internet to identify problems, install updates, configure settings, or remove malware without being physically present. This approach saves time and resources, allowing for quick support and minimizing downtime for users.

What are the key skills and qualifications needed to thrive in remote software troubleshooting?

Success in remote software troubleshooting requires strong technical knowledge of software systems, analytical problem-solving abilities, and often a degree in IT or computer science. Familiarity with remote desktop tools, ticketing systems like Zendesk, and certifications such as CompTIA A+ or Microsoft Certified Solutions Associate are commonly needed. Excellent communication, patience, and customer service skills help professionals effectively assist users and resolve issues remotely. These skills ensure efficient problem resolution, high user satisfaction, and minimize downtime in distributed work environments.

What are some common challenges faced in remote software troubleshooting, and how can they be addressed?

One common challenge in remote software troubleshooting is effectively diagnosing issues without direct access to a user's device or system. Clear communication is essential, as you often rely on users to describe problems and follow instructions. Utilizing remote desktop tools, maintaining detailed documentation, and developing strong problem-solving skills can help overcome these hurdles. Additionally, building rapport with users and being patient fosters a more productive troubleshooting environment.

What is the difference between Remote Software Troubleshooting vs Remote Technical Support?

AspectRemote Software TroubleshootingRemote Technical Support
Primary FocusDiagnosing and resolving software issuesAssisting with hardware, software, and account problems
Skills RequiredProblem-solving, software knowledge, diagnostic toolsCustomer service, communication, basic technical skills
Work EnvironmentRemote, often with access to diagnostic softwareRemote or on-site, with direct customer interaction
CertificationsIT certifications (e.g., CompTIA, Microsoft)Customer service certifications, basic IT knowledge

Remote Software Troubleshooting primarily involves diagnosing and fixing software issues, requiring technical skills and diagnostic tools. Remote Technical Support covers a broader range of customer assistance, including hardware and account problems, emphasizing communication skills. Both roles are remote and industry-standard, but their focus and skill sets differ.

What are popular job titles related to Remote Software Troubleshooting jobs in Virginia?

For Remote Software Troubleshooting jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Remote Software Troubleshooting jobs in Virginia look for?

The top searched job categories for Remote Software Troubleshooting jobs in Virginia are:

What cities in Virginia are hiring for Remote Software Troubleshooting jobs?

Cities in Virginia with the most Remote Software Troubleshooting job openings:

Software Engineer, Senior

GRVTY

Herndon, VA โ€ข On-site, Remote

$126K - $166K/yr

Full-time

Re-posted 29 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 Herndon, Virginia. 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 with 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.