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Software Build Engineer Jobs in Washington (NOW HIRING)

Software Engineer, Senior

Herndon, VA · On-site +1

$126K - $166K/yr

Build and optimize data pipelines for ingesting, processing, and analyzing large-scale scientific ... software engineers and translate what they need into software that actually works. What Would be ...

Assisting in software build, delivery, integration, and test in multiple unclassified and ... Bachelor's or master's degree in Systems Engineering, Computer Engineering, Computer Science ...

Software Engineer, Senior

Herndon, VA · On-site +1

$126K - $166K/yr

Build and optimize data pipelines for ingesting, processing, and analyzing large-scale scientific ... software engineers and translate what they need into software that actually works. What Would be ...

Software Engineer, Senior

Herndon, VA · On-site

$126K - $166K/yr

Build and optimize data pipelines for ingesting, processing, and analyzing large-scale scientific ... software engineers and translate what they need into software that actually works. What Would be ...

DevSecOps Software Engineer Company: Argon ST The Boeing Company is currently seeking a DevSecOps ... software build, software artifact management, version control strategies, virtualization ...

DevSecOps Software Engineer Company: Argon ST The Boeing Company is currently seeking a DevSecOps ... software build, software artifact management, version control strategies, virtualization ...

DevSecOps Software Engineer Company: Argon ST The Boeing Company is currently seeking a DevSecOps ... software build, software artifact management, version control strategies, virtualization ...

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Showing results 1-20

Software Build Engineer information

See Washington salary details

$12.5K

$143.8K

How much do software build engineer jobs pay per year?

As of Jun 29, 2026, the average yearly pay for software build engineer in Washington is $142,498.00, according to ZipRecruiter salary data. Most workers in this role earn between $142,100.00 and $142,700.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Software Build Engineers, and how can they be addressed?

Software Build Engineers often encounter challenges such as managing complex build dependencies, troubleshooting build failures, and ensuring consistency across different environments. These issues can be addressed by implementing robust automation scripts, maintaining clear documentation, and regularly updating build tools and processes. Collaboration with development and QA teams is also crucial to quickly identify and resolve integration issues, making communication skills and adaptability key assets in this role.

What are Software Build Engineers?

Software Build Engineers are professionals responsible for designing, implementing, and managing the processes and tools that compile, build, and deploy software applications. They work closely with development teams to automate build pipelines, ensure code integration, and resolve issues related to software builds. Their role is crucial in maintaining efficient development workflows, reducing build failures, and supporting continuous integration and delivery (CI/CD) practices.

What are the key skills and qualifications needed to thrive as a Software Build Engineer, and why are they important?

To thrive as a Software Build Engineer, you need strong programming skills, experience with build automation tools, and a solid understanding of software development life cycles, often backed by a degree in computer science or related field. Familiarity with tools such as Jenkins, Maven, Gradle, Git, and CI/CD systems, as well as knowledge of scripting languages like Python or Bash, is typically required. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for this role. These skills ensure reliable, efficient build processes and seamless collaboration between development and operations teams, leading to consistent and high-quality software delivery.
Infographic showing various Software Build Engineer job openings in Washington as of June 2026, with employment types broken down into 92% Full Time, 6% Part Time, and 2% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $142,498 per year, or $68.5 per hour.

Software Engineer, Senior

GRVTY

Herndon, VA • On-site, Remote

$126K - $166K/yr

Other

Posted 5 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 TS/SCI clearance with 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.