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Remote Field Software Engineer Jobs in Virginia (NOW HIRING)

GRVTY

Software Engineer, Senior

Herndon, VA · On-site +1

$126K - $166K/yr

Background in signal processing, image processing, or remote sensing data workflows. * Experience ... Advanced degree in a relevant technical field (Computer Science, Electrical Engineering, Physics ...

Leidos

Software Engineer

Reston, VA · On-site +1

We are seeking a Senior Software Engineer who doesn't just build systems, but redefines how they ... Flexible to work remote with the ability to commute to the corporate office as needed Must have ...

Babel Street

Software Engineer III

Reston, VA · On-site +1

$59.75 - $80.25/hr

Candidates near our Somerville, MA or Reston, VA offices are preferred but remote work it potential ... Bachelor's degree in Computer Science, Information Systems, or a related field (or equivalent ...

NT Concepts

Software Engineer

Vienna, VA · On-site +1

We are seeking a Software Engineer to join our team. Working at NT Concepts means that you are part ... Herndon, VA with remote flexibility. Must be local to the DC Metro area. Responsibilities:

InterImage

Software Engineer

Arlington, VA · On-site +1

Bachelor's degree in Computer Science, Software Engineering, Information Systems, Cybersecurity, Mathematics, or related technical field * Internship, academic project, research, or personal project ...

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All JobsRemote Field Software Engineer JobsRemote Field Software Engineer Jobs in Virginia

Remote Field Software Engineer information

What is the difference between Remote Field Software Engineer vs Remote Software Developer?

AspectRemote Field Software EngineerRemote Software Developer
Required CredentialsBachelor's in CS or related field, coding skills, sometimes certificationsBachelor's in CS or related field, coding skills, sometimes certifications
Work EnvironmentOn-site client locations, field visits, remote work possiblePrimarily remote, office or home-based
Employer & Industry UsageTech, manufacturing, utilities, field service companiesTech, startups, software firms, corporate IT
Search & Comparison IntentUnderstanding field-based roles, on-site workFocus on remote coding and development tasks

The main difference is that Remote Field Software Engineers often work on-site at client locations, handling hardware integration and field-specific tasks, while Remote Software Developers typically work remotely on software coding and development projects. Both roles require similar technical credentials but differ in work environment and industry application.

What are the most commonly searched types of Field Software Engineer jobs in Virginia? The most popular types of Field Software Engineer jobs in Virginia are:
Remote Field Software Engineer jobs near you
AI/ML Software Engineer

AI/ML Software Engineer

Frontier Technology Inc.

Chesapeake, VA • Remote

Full-time

Posted 10 days ago

Job description

Overview

FTI Defense is seeking an AI/ML Software Engineer to design, build, and deploy secure, scalable software and data systems that support mission operations, analytics, and simulation environments. This role is for a hands-on engineer and someone who loves writing code, building systems end-to-end, and solving real-world technical challenges in secure, distributed environments.

FTI Defense delivers mission-focused solutions to the Department of Defense (DoD/DoW) and Intelligence Community (IC) through advanced engineering, digital transformation, and program execution expertise. We help our customers solve complex challenges by integrating people, process, and technology.

Responsibilities

Software Design & Development

  • Design and implement APIs, data pipelines, and simulation runtime logic that connect and enable mission applications.
  • Develop software using modern programming languages such as Java, Python, C++, or TypeScript/Angular.
  • Write clean, testable, and maintainable code following secure coding and software engineering best practices.
  • Build and integrate modular microservices to improve scalability, maintainability, and interoperability.

Cloud & Containerized Environments

  • Build and deploy containerized, cloud-native services using Docker, Kubernetes, and CI/CD pipelines (GitLab, Jenkins, or equivalent).
  • Implement Infrastructure-as-Code and automation scripts to accelerate deployment and configuration management.
  • Contribute to secure deployments across hybrid or disconnected environments (IL4-IL6, AWS GovCloud, or on-prem).

Systems Integration & Distributed Computing

  • Develop distributed systems and data integration frameworks using message buses such as Kafka or Redis.
  • Engineer data flow between analytic, AI, and simulation components to support real-time mission use cases.
  • Collaborate with system engineers and architects to ensure interoperability across software ecosystems.

Data & Analytics Integration

  • Build and manage databases (PostgreSQL, MongoDB, graph DBs) and model complex data relationships.
  • Develop data services that feed analytics pipelines or integrate AI/ML outputs into runtime systems.
  • Work with serialization and exchange formats such as JSON, Protobuf, GeoJSON, or KML.

Security, Testing & Sustainment

  • Write, test, and deploy software within secure or classified environments.
  • Automate testing and monitoring to ensure performance, reliability, and repeatable deployments.
  • Support the transition of prototypes to operational systems, focusing on maintainability and observability.
Education/Qualifications

Minimum Requirements:

  • Must be a U.S. citizen and be willing to obtain and maintain a security clearance, as needed.
  • 6-10+ years of professional software engineering experience.
  • 3+ years of professional experience with DevSecOps, Zero-Trust, or ATO/RMF processes in Department of Defense (DoD/DoW) environments.
  • Strong full-stack or systems engineering background.
  • Proficiency in one or more of the following languages: Java, Python, C++, or TypeScript/Angular.
  • Experience building containerized, cloud-native solutions using Docker, Kubernetes, and CI/CD pipelines.
  • Complete understanding of distributed systems and message buses (Kafka, Redis, etc.).
  • Experience developing or integrating analytics and AI models into production systems.

 Preferred Qualifications:

  • Experience deploying code in IL4-IL6 or edge/disconnected environments.
  • Familiarity with databases such as PostgreSQL, MongoDB, or graph databases.
  • Knowledge of Infrastructure-as-Code (Terraform, CloudFormation, or CDK).
  • Bachelor's degree in Computer Science, Software Engineering, or a related technical field.
  • Active Secret clearance preferred; ability to obtain one is required.

#LI-KM1

#LI-Remote

Employment Type: FULL_TIME

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