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Linux C Developer Remote Jobs in Georgia (NOW HIRING)

Motorola

Senior DevOps Engineer (US REMOTE)

Atlanta, GA · Remote

$140K - $170K/yr

Manage developer tooling * Ensure compliance with regulatory, compliance and security frameworks ... Experience with Linux including scripting (Bash) Preferred Skills: * Experience with AI/machine ...

Capgemini Engineering

$73K - $174K/yr

Linux operating system environment experience * Arm Based Controllers experience The base ... engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data ...

Mountville Careers

DevOps Engineer II

Lagrange, GA · Remote

$48 - $66/hr

DevOps Engineer II Location: 99% Remote Position Type: Full-time About Us Mountville Inc. is a ... Strong Linux administration skills, including shell scripting and system configuration. Skills:

Kemper

Guidewire Developer-ClaimCenter

Alpharetta, GA · On-site +1

$53.25 - $70.25/hr

... C-Ingram Rd-San Antonio-TX, Remote-CT, Remote-GA, Remote-IL, Remote-IN, Remote-OH, Remote-PA ... We are seeking an experienced Guidewire ClaimCenter Developer to be a deep technical expert in the ...

Wood Plc

Senior I/C Account Manager

Atlanta, GA · On-site +1

This position allows the flexibility of working remote but is based out of Atlanta and has ... Skills / Qualifications * BS in Engineering, Geology or Environmental Sciences/Management with MS ...

Proticom

Senior Security Engineer (Remote)

Atlanta, GA · Remote

$110K - $151K/yr

If you are a smart developer with experience building security features in large-scale systems. You ... Experience using Linux at the command line for tasks related to web application development and ...

Clarity Innovations

Senior Platform Engineer

Augusta, GA · Remote

$87K - $210K/yr

... DevOps engineering (additional experience expected for Principal level) * Hands-on experience ... Linux/Unix terminal - candidates should be "keyboard-first" and comfortable with remote system ...

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Linux C Developer Remote information

What does a Linux C Developer do when working remotely?

A Linux C Developer working remotely is responsible for designing, developing, and maintaining software applications that run on Linux operating systems using the C programming language. Their tasks typically include writing and debugging code, collaborating with team members through online tools, and ensuring software performance and security. Remote Linux C Developers often use version control systems like Git and participate in code reviews, all while managing their tasks and communication online.

How does a remote Linux C Developer typically collaborate with team members on large-scale projects?

As a remote Linux C Developer, collaboration is often facilitated through version control systems like Git, code review platforms, and daily stand-up meetings via video conferencing. Developers work closely with QA engineers, DevOps, and other developers to integrate and test code, resolve bugs, and ensure alignment on project goals. Effective communication and clear documentation are key, as much of the collaboration happens asynchronously. Familiarity with tools such as Jira, Slack, and continuous integration systems also helps streamline teamwork and project tracking.

What are the key skills and qualifications needed to thrive as a Linux C Developer in a remote role?

To thrive as a Linux C Developer working remotely, you need strong proficiency in C programming, a deep understanding of Linux operating systems, and a degree in computer science or related field. Familiarity with version control systems like Git, debugging tools such as GDB, and build systems like Make or CMake is typically required. Excellent problem-solving abilities, self-motivation, and clear communication are standout soft skills for remote collaboration. These skills are crucial to delivering reliable, efficient code and collaborating effectively within distributed development teams.

What is the difference between Linux C Developer Remote vs Embedded C Developer?

AspectLinux C Developer RemoteEmbedded C Developer
Required CredentialsBachelor's in Computer Science or related, C programming skills, Linux knowledgeBachelor's in Electrical/Computer Engineering, C programming, embedded systems experience
Work EnvironmentRemote, software development teams, Linux-based systemsOn-site or remote, embedded hardware, real-time systems
Industry UsageSoftware companies, tech firms, open-source projectsConsumer electronics, automotive, aerospace, industrial devices
Search & Comparison IntentYesYes

The main difference between Linux C Developer Remote and Embedded C Developer lies in their work environment and focus. Linux C Developers primarily work remotely on software projects involving Linux-based systems, while Embedded C Developers often work on hardware-integrated systems, sometimes on-site. Both roles require strong C programming skills and relevant technical credentials, but their industry applications and daily tasks differ significantly.

What are popular job titles related to Linux C Developer Remote jobs in Georgia?

For Linux C Developer Remote jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Linux C Developer Remote jobs in Georgia look for?

The top searched job categories for Linux C Developer Remote jobs in Georgia are:

What cities in Georgia are hiring for Linux C Developer Remote jobs?

Cities in Georgia with the most Linux C Developer Remote job openings:

Linux C Developer Remote jobs near you
Infographic showing various Linux C Developer Remote job openings in Georgia as of September 2026, with employment types broken down into 83% Full Time, 7% Part Time, 1% Temporary, and 9% Contract. Highlights an 78% Physical, 5% Hybrid, and 17% Remote job distribution.

Senior DevOps Automation Engineer (Remote Opportunity)

Atlanta, GA • On-site, Remote

VetsEZ
IT Services • 51 - 200 employees
Learn more about VetsEZexternal

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted yesterday

Job description

VetsEZ is currently looking for a Senior Test Engineer for a 100% remote position supporting a large federal government healthcare modernization project. In this role, you will support the development, validation, and automation of an AI-powered Patient Health Data Summarization capability within the Joint Longitudinal Viewer (JLV) Clinical Decision Support (CDS) platform. The ideal candidate will have strong healthcare interoperability experience, knowledge of C-CDA standards, experience testing complex healthcare applications, and hands-on experience with test automation and AI-enabled quality engineering.
The candidate must reside within the continental US.
Responsibilities
  • Develop comprehensive test plans, test cases, and acceptance criteria for AI-powered patient summarization capabilities.
  • Create traceability between business requirements, clinical data standards, and test scenarios.
  • Design test coverage across clinical document types, including Continuity of Care Documents (CCD), Discharge Summaries, Progress Notes, and History & Physical documents.
  • Develop positive, negative, boundary, and edge-case testing scenarios for AI-enabled clinical applications.
  • Analyze and validate C-CDA XML documents, including headers, sections, templates, and clinical entries.
  • Verify accurate extraction and summarization of clinical information, including medications, allergies, laboratory results, procedures, care plans, and diagnoses.
  • Ensure AI-generated summaries accurately reflect source clinical documentation and maintain traceability to original clinical sources.
  • Perform functional, integration, system, regression, performance, and user acceptance testing.
  • Develop and maintain automated test suites for document ingestion, AI summarization, APIs, and user interfaces.
  • Test CDS workflows and patient-context-driven launch scenarios across multiple data sources and patient encounters.
  • Support CI/CD pipelines through automated quality gates and continuous testing.
  • Build automated validation frameworks for AI-generated summaries.
  • Evaluate AI-generated content for clinical completeness, consistency, usability, accuracy, and reliability.
  • Identify omissions, inaccuracies, hallucinations, and other AI-generated defects that could impact clinical workflows.
  • Validate AI guardrails, monitoring capabilities, auditability, and quality controls.
  • Participate in defect triage, root-cause analysis, and release-readiness activities.
  • Create test documentation, defect reports, traceability matrices, and quality assessments.
  • Collaborate with software engineers, solution architects, clinicians, product owners, cybersecurity teams, and government stakeholders.
  • Leverage AI-assisted tools to accelerate test development, test automation, regression testing, defect analysis, and quality assurance activities.
  • Take on additional tasks and responsibilities as needed to support team objectives and ensure the success of the project.

Requirements
  • Bachelor's degree in Computer Science, Information Technology, Health Informatics, Engineering, or a related technical discipline, or equivalent experience.
  • Minimum of 5 years of experience testing healthcare software applications.
  • Strong knowledge of Consolidated Clinical Document Architecture (C-CDA) standards, including clinical document structure, sections, templates, and entries.
  • Hands-on experience reading, validating, and troubleshooting XML-based healthcare data.
  • Experience with healthcare interoperability standards and clinical data exchange.
  • Experience testing Clinical Decision Support (CDS) applications and workflows.
  • Familiarity with SMART on FHIR, CDS Hooks, REST APIs, and related interoperability technologies.
  • Experience with test automation frameworks, API testing tools, and defect management platforms.
  • Experience developing and maintaining automated testing solutions within Agile and DevSecOps environments.
  • Experience with AI-assisted testing tools and techniques for test case generation, automation development, regression testing, defect analysis, and quality assurance.
  • Familiarity with Generative AI and Large Language Models (LLMs), including using AI to create and maintain automated test scripts, validation frameworks, and test data.
  • Experience validating AI-generated outputs and establishing quality controls for accuracy, consistency, repeatability, and reliability.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Excellent written and verbal communication skills.

Additional Qualifications
  • Experience supporting Department of Veterans Affairs (VA) healthcare systems, including JLV or similar clinical viewer applications.
  • Knowledge of USCDI and healthcare interoperability requirements.
  • Familiarity with healthcare terminologies such as SNOMED CT, LOINC, RxNorm, and ICD.
  • Experience validating AI/ML-enabled healthcare solutions.
  • Experience with AI-powered testing platforms such as GitHub Copilot, Microsoft Copilot, Testim, Functionize, Mabl, or similar tools.
  • Experience creating autonomous or semi-autonomous AI testing workflows, including test-case generation, coverage analysis, synthetic test data, and automated defect triage.
  • Understanding of prompt engineering and AI evaluation methodologies for software quality assurance.
  • Knowledge of accessibility and usability testing within healthcare environments.
  • Experience working within Agile, DevSecOps, and cloud-native development environments.
  • Exposure to healthcare data analytics and modernization initiatives within federal healthcare agencies.

Security Clearance Requirements
U.S. Citizenship is required.
All selected candidates must successfully complete a background check.
Ability to obtain and maintain a Government/Public Trust clearance, including required fingerprinting, when required for the position.
Benefits
  • Medical/Dental/Vision.
  • 401k with Employer Match.
  • PTO + Federal Holidays.
  • Corporate Laptop.
  • Training Opportunities.
  • Remote Opportunity.

VetsEZ is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status.
Sorry, we are unable to offer sponsorship at this time.

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