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Remote Linux Jobs in Burke, VA (NOW HIRING)

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Maintain secure Linux, middleware, web server, and COTS environments. * Implement and remediate systems against DISA STIG baselines. * Review vulnerability scan results and remediate CVEs and CISA ...

New

Bachelor's degree in Geospatial Intelligence, Geography, Remote Sensing, Intelligence Studies ... Experience working in Linux environments such as CentOS or Rocky Linux. * Experience with Python ...

Multi-Cloud Engineer

Chantilly, VA ยท On-site +1

$57 - $76.25/hr

Demonstrated experience with programming languages including Python, Linux, C++, and Windows shell ... portable remote devices * Demonstrated experience with IP network routing and switching

Hybrid - Remote Hours: 40.0 Security Clearance: Not required Responsibilities * Assist in maintaining IT and enterprise security applications and systems * Troubleshoot Linux and Windows servers and ...

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Remote Linux information

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$36

$54

$70

How much do remote linux jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for remote linux in Burke, VA is $54.61, according to ZipRecruiter salary data. Most workers in this role earn between $49.62 and $58.61 per hour, depending on experience, location, and employer.

What is a Remote Linux?

A Remote Linux job involves managing, maintaining, and troubleshooting Linux-based systems from a remote location. Professionals in these roles may work as system administrators, DevOps engineers, or cloud engineers, ensuring server uptime, security, and performance. Common tasks include configuring servers, automating processes, and deploying applications. These jobs require expertise in Linux command-line tools, scripting languages, and networking. Many companies hire remote Linux professionals to support cloud environments, web servers, and enterprise systems.

What does a Remote Linux do?

As a Remote Linux professional, your daily tasks may include server provisioning, managing user accounts, monitoring system health, deploying software updates, and troubleshooting network or application issues. You may also work on automation projects using scripting languages or configuration management tools to streamline system operations. Collaboration is often virtual, so you'll join regular meetings, coordinate with development or DevOps teams, and document processes or incidents thoroughly. Depending on your employer, you may participate in on-call rotations or respond to urgent incidents to ensure uptime and security. This variety of responsibilities provides both technical challenges and opportunities for skill development in a dynamic environment.

What are the key skills and qualifications needed to thrive in the Remote Linux position, and why are they important?

To thrive in a Remote Linux role, you need a strong understanding of Linux system administration, shell scripting, networking concepts, and troubleshooting skills, often supported by a degree in computer science or relevant certifications such as CompTIA Linux+ or RHCSA. Proficiency with configuration management tools (like Ansible or Puppet), remote monitoring solutions, and cloud platforms is commonly required. Strong communication, self-motivation, and problem-solving abilities are key soft skills that help remote professionals excel. These skills ensure reliable system performance, efficient collaboration with distributed teams, and successful problem resolution in remote environments.

What are popular job titles related to Remote Linux jobs in Burke, VA?

For Remote Linux jobs in Burke, VA, the most frequently searched job titles are:

What job categories do people searching Remote Linux jobs in Burke, VA look for?

The top searched job categories for Remote Linux jobs in Burke, VA are:

What cities near Burke, VA are hiring for Remote Linux jobs?

Cities near Burke, VA with the most Remote Linux job openings:

Infographic showing various Remote Linux job openings in Burke, VA as of August 2026, with employment types broken down into 6% Locum Tenens, 54% Full Time, and 40% Contract. Highlights an 100% Remote job distribution, with an average salary of $113,587 per year, or $54.6 per hour.

Radio Frequency Software Engineer Lead - 1648 (Remote)

Reston, VA โ€ข Remote

Global InfoTek, Inc.
Software Developmentย โ€ขย 11 - 50 employees

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Job Description: Clearance Level: Public Trust US Citizenship: Required Job Classification: Full Time Location: Remote Years of Experience: 7-10 years of relevant experience Education Level: BS Degree experience may be considered in place of education requirement. Briefly Describe the Work: GITI is seeking a Lead RF Software Engineer to support Cyber Operations Research and Development on passive RF emitter identification and network analysis from real-time sensor data streams. The candidate will implement, test, and maintain components of production software pipeline a stream ingestion, rollup, and post-processing system operating on NDF (Network Description File) data produced by TDMA network sensors in dense, contested RF environments. Working under the direction of the Principal Engineer and the Technical Lead. The Lead RF Software Engineer supports Cyber Operations by contributing to pipeline development across a range of functional areas including stream processing, database integration, display and reporting tools, simulation infrastructure, and CI/CD tooling. The role requires strong Python skills, comfort with air-gapped Linux environments, and the ability to work independently on well-defined components with minimal supervision in support of real world cyber operations. Responsibilities: Implement, test, and maintain assigned pipeline components including stream ingestion, rollup processing, database write, and batch post-processing modules in support of real world cyber operations Develop and maintain browser-based visualization and reporting tools (track plots, waterfall displays, SmartBook report generation) that consume pipeline database output Implement and maintain stream simulation infrastructure, including TDMA network mission log replay and stream generation at controllable rates for pipeline testing Develop lightweight TNS simulator components: emitter and receiver models capable of following track plots and emitting in accordance with a network description Contribute to database integration work on tactical-box-spec hardware, including MySQL schema design, query optimization, and performance benchmarking Write comprehensive unit and integration tests for assigned components; implement and maintain CI/CD pipelines using GitLab to ensure functionality on hardware or in cloud environment Identify and report performance bottlenecks in Python pipeline components; assist with porting mature components to Rust or C as directed Perform basic Linux system administration on remote servers including package management, user configuration, and environment setup Manage source code using GitLab; follow disciplined versioning, branching, and code review practices as established by the Principal Engineer Produce clear technical documentation for implemented components including interface specifications, configuration guides, and test procedures Participate in periodic technical check-ins with the program technical lead; share findings and flag blockers promptly Career level with a complete understanding and wide application of technical principles, theories, and concepts. Working under general direction from the Principal Engineer, provides technical solutions to a wide range of well-defined problems and independently executes on assigned components. Bachelor's (or equivalent) with 7-10 years of experience, or a Master's with 5-7 years of experience. Required Skills: Strong proficiency in Python, with demonstrated experience in data processing pipelines, stream ingestion, or ETL development Proficiency with Python data science libraries including NumPy, Pandas (or Polars), and scikit-learn Experience with relational database development using MySQL, PostgreSQL, or SQLite, including schema design and query optimization Experience parsing or generating binary serialization formats (FlatBuffers, Protocol Buffers, or equivalent) Ability to develop, test, and debug on remote Linux servers via SSH using command-line tools and a modern IDE Solid Linux operating system fundamentals including file system management, process control, and basic security hardening (Ubuntu) Proficient in software engineering practices including Git/GitLab version control, unit testing, and CI/CD pipeline usage Experience developing browser-based data visualization or reporting tools, or demonstrated ability to learn React/D3-based tooling on the job Strong written and oral communication skills; ability to produce clear technical documentation for engineering audiences Ability to work independently on assigned components with minimal supervision in a small, distributed team Desired Skills: Experience with TNS (Target Network System) sensor data formats and NDF ICD specifications Familiarity with TDMA network protocols, time-division access architectures, and passive RF signal processing concepts Experience with lightweight stream or message queue architectures (ZeroMQ, RabbitMQ, or equivalent) Experience with Rust or Go for systems-level or performance-critical development on Linux Experience with Polars or DuckDB for high-performance analytical workloads Experience with performance profiling and optimization of Python pipelines on resource-constrained x86 hardware Experience with LLM-assisted software development tools (e.g., Claude Code, GitHub Copilot, JetBrains AI Assistant, or equivalent); demonstrated ability to use AI tools productively for code generation, refactoring, and test case development while maintaining engineering judgment and code quality standards Familiarity with AI/ML libraries (PyTorch, TensorFlow); ability to integrate trained model inference into a pipeline without requiring deep ML expertise Experience with Jupyter Notebooks and research enclave environments; ability to read and adapt research prototype code Experience with simulation or synthetic data generation for pipeline testing purposes Familiarity with Apache data science tools such as Spark or Dask for large-scale data processing Relevant Certifications: Certifications in software engineering, computer science, or related fields (e.g., Certified Software Development Professional (CSDP); Certified Scrum Developer (CSD); Red Hat Certified Enterprise Application Developer; Certified Secure Software Lifecycle Professional (CSSLP); C++ Certified Associate Programmer (CPA); Professional Software Developer Certification (PSD); etc.) Global InfoTek, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability. About Global InfoTek, Inc. Global InfoTek Inc. has an award-winning track record of designing, developing, and deploying best-of-breed technologies that address the nation's pressing cyber and advanced technology needs. GITI has rapidly merged pioneering technologies, operational effectiveness, and best business practices for over two decades. Clearance Level: Public Trust US Citizenship: Required Job Classification: Full Time Location: Remote Years of Experience: 7-10 years of relevant experience Education Level: BS Degree experience may be considered in place of education requirement. Briefly Describe the Work: GITI is seeking a Lead RF Software Engineer to support Cyber Operations Research and Development on passive RF emitter identification and network analysis from real-time sensor data streams. The candidate will implement, test, and maintain components of production software pipeline a stream ingestion, rollup, and post-processing system operating on NDF (Network Description File) data produced by TDMA network sensors in dense, contested RF environments. Working under the direction of the Principal Engineer and the Technical Lead. The Lead RF Software Engineer supports Cyber Operations by contributing to pipeline development across a range of functional areas including stream processing, database integration, display and reporting tools, simulation infrastructure, and CI/CD tooling. The role requires strong Python skills, comfort with air-gapped Linux environments, and the ability to work independently on well-defined components with minimal supervision in support of real world cyber operations. Responsibilities: Implement, test, and maintain assigned pipeline components including stream ingestion, rollup processing, database write, and batch post-processing modules in support of real world cyber operations Develop and maintain browser-based visualization and reporting tools (track plots, waterfall displays, SmartBook report generation) that consume pipeline database output Implement and maintain stream simulation infrastructure, including TDMA network mission log replay and stream generation at controllable rates for pipeline testing Develop lightweight TNS simulator components: emitter and receiver models capable of following track plots and emitting in accordance with a network description Contribute to database integration work on tactical-box-spec hardware, including MySQL schema design, query optimization, and performance benchmarking Write comprehensive unit and integration tests for assigned components; implement and maintain CI/CD pipelines using GitLab to ensure functionality on hardware or in cloud environment Identify and report performance bottlenecks in Python pipeline components; assist with porting mature components to Rust or C as directed Perform basic Linux system administration on remote servers including package management, user configuration, and environment setup Manage source code using GitLab; follow disciplined versioning, branching, and code review practices as established by the Principal Engineer Produce clear technical documentation for implemented components including interface specifications, configuration guides, and test procedures Participate in periodic technical check-ins with the program technical lead; share findings and flag blockers promptly Career level with a complete understanding and wide application of technical principles, theories, and concepts. Working under general direction from the Principal Engineer, provides technical solutions to a wide range of well-defined problems and independently executes on assigned components. Bachelor's (or equivalent) with 7-10 years of experience, or a Master's with 5-7 years of experience. Required Skills: Strong proficiency in Python, with demonstrated experience in data processing pipelines, stream ingestion, or ETL development Proficiency with Python data science libraries including NumPy, Pandas (or Polars), and scikit-learn Experience with relational database development using MySQL, PostgreSQL, or SQLite, including schema design and query optimization Experience parsing or generating binary serialization formats (FlatBuffers, Protocol Buffers, or equivalent) Ability to develop, test, and debug on remote Linux servers via SSH using command-line tools and a modern IDE Solid Linux operating system fundamentals including file system management, process control, and basic security hardening (Ubuntu) Proficient in software engineering practices including Git/GitLab version control, unit testing, and CI/CD pipeline usage Experience developing browser-based data visualization or reporting tools, or demonstrated ability to learn React/D3-based tooling on the job Strong written and oral communication skills; ability to produce clear technical documentation for engineering audiences Ability to work independently on assigned components with minimal supervision in a small, distributed team Desired Skills: Experience with TNS (Target Network System) sensor data formats and NDF ICD specifications Familiarity with TDMA network protocols, time-division access architectures, and passive RF signal processing concepts Experience with lightweight stream or message queue architectures (ZeroMQ, RabbitMQ, or equivalent) Experience with Rust or Go for systems-level or performance-critical development on Linux Experience with Polars or DuckDB for high-performance analytical workloads Experience with performance profiling and optimization of Python pipelines on resource-constrained x86 hardware Experience with LLM-assisted software development tools (e.g., Claude Code, GitHub Copilot, JetBrains AI Assistant, or equivalent); demonstrated ability to use AI tools productively for code generation, refactoring, and test case development while maintaining engineering judgment and code quality standards Familiarity with AI/ML libraries (PyTorch, TensorFlow); ability to integrate trained model inference into a pipeline without requiring deep ML expertise Experience with Jupyter Notebooks and research enclave environments; ability to read and adapt research prototype code Experience with simulation or synthetic data generation for pipeline testing purposes Familiarity with Apache data science tools such as Spark or Dask for large-scale data processing Relevant Certifications: Certifications in software engineering, computer science, or related fields (e.g., Certified Software Development Professional (CSDP); Certified Scrum Developer (CSD); Red Hat Certified Enterprise Application Developer; Certified Secure Software Lifecycle Professional (CSSLP); C++ Certified Associate Programmer (CPA); Professional Software Developer Certification (PSD); etc.) Global InfoTek, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability. About Global InfoTek, Inc. Global InfoTek Inc. has an award-winning track record of designing, developing, and deploying best-of-breed technologies that address the nation's pressing cyber and advanced technology needs. GITI has rapidly merged pioneering technologies, operational effectiveness, and best business practices for over two decades.