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Remote Aircraft Reliability Engineer Jobs in Charleston, SC

ABB

Protection and Control Engineer

Charleston, SC · Remote

While this is a full remote position, there is preference for candidates located in the Northern ... ABB's Service Division partners with our customers to improve the availability, reliability ...

HiddenLayer

Lead Engineer, AI Attack Simulation

Charleston, SC · On-site +1

$95K - $126K/yr

Lead Engineer, AI Attack Simulation Remote [within the US] ABOUT THE ROLE: HiddenLayer is seeking a ... Mentor engineers, lead technical reviews, support hiring, and raise standards for reliability ...

Tuesday Health

Software Developer

Charleston, SC · Remote

Remote Who We Are: Tuesday Health is a value-based palliative care provider group dedicated to ... reliability * Instrument services with distributed tracing and logging using Azure Application ...

Blackbaud

AI Product Owner - Implement to Renew

SC · Remote

$117K - $157K/yr

Balance innovation with reliability, privacy, and responsible AI requirements. * Ensure platform ... Identify friction points and continuously improve the developer and user experience. * Help teams ...

All JobsAircraft Reliability Engineer JobsRemote Aircraft Reliability Engineer JobsRemote Aircraft Reliability Engineer Jobs in Charleston, SC

Remote Aircraft Reliability Engineer information

See Charleston, SC salary details

$57.1K

$110.4K

$132K

How much do remote aircraft reliability engineer jobs pay per year?

As of Aug 26, 2026, the average yearly pay for remote aircraft reliability engineer in Charleston, SC is $110,401.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,900.00 and $120,700.00 per year, depending on experience, location, and employer.

What does a remote aircraft reliability engineer do?

A Remote Aircraft Reliability Engineer is responsible for monitoring, analyzing, and improving the reliability and safety of aircraft systems while working from a remote location. They use data analysis, maintenance records, and engineering principles to identify potential issues before they become serious problems. These engineers collaborate with maintenance teams, manufacturers, and regulatory bodies to develop strategies that minimize downtime and ensure compliance with aviation standards. Their work helps to enhance the performance and longevity of aircraft fleets, even when performed remotely.

How does a remote aircraft reliability engineer collaborate with on-site maintenance teams to address urgent technical issues?

Remote Aircraft Reliability Engineers typically maintain close communication with on-site maintenance teams via digital platforms, such as video calls and real-time messaging. When urgent technical issues arise, they quickly analyze incoming data, provide troubleshooting guidance, and may recommend immediate corrective actions based on reliability trends. Effective collaboration relies on clear documentation and proactive follow-up to ensure solutions are implemented and issues are tracked for future reliability improvements. This approach helps bridge the gap between remote analysis and hands-on maintenance, ensuring aircraft safety and operational efficiency.

What are the key skills and qualifications needed to thrive as a remote aircraft reliability engineer, and why are they important?

To thrive as a Remote Aircraft Reliability Engineer, you need a strong background in aerospace engineering, data analysis, and maintenance reliability principles, typically supported by a relevant degree and experience in aviation systems. Familiarity with reliability analysis software, maintenance tracking systems, and statistical tools like Weibull analysis or Reliability Centered Maintenance (RCM) is commonly required. Analytical thinking, problem-solving, and effective communication are key soft skills for collaborating with cross-functional teams and presenting technical findings remotely. These skills ensure accurate risk assessments, optimized maintenance strategies, and safe, cost-effective aircraft operations even when working from a distance.

What is the difference between Remote Aircraft Reliability Engineer vs Remote Aircraft Maintenance Technician?

AspectRemote Aircraft Reliability EngineerRemote Aircraft Maintenance Technician
Required CertificationsFAA Airframe & Powerplant (A&P) license, Reliability engineering certificationsFAA Airframe & Powerplant (A&P) license, Maintenance certifications
Work EnvironmentDesign, analysis, and troubleshooting remotely; collaboration with engineering teamsHands-on maintenance, inspections, and repairs at airports or hangars
Industry UsageAircraft manufacturing, airline operations, aerospace companiesAirlines, maintenance providers, repair stations

The Remote Aircraft Reliability Engineer focuses on analyzing aircraft systems to improve reliability through remote assessments and data analysis, while the Remote Aircraft Maintenance Technician performs hands-on repairs and inspections. Both roles require FAA certifications and are integral to aviation safety, but they differ mainly in work environment and daily responsibilities.

What are popular job titles related to Remote Aircraft Reliability Engineer jobs in Charleston, SC?

For Remote Aircraft Reliability Engineer jobs in Charleston, SC, the most frequently searched job titles are:

What job categories do people searching Remote Aircraft Reliability Engineer jobs in Charleston, SC look for?

The top searched job categories for Remote Aircraft Reliability Engineer jobs in Charleston, SC are:

What cities near Charleston, SC are hiring for Remote Aircraft Reliability Engineer jobs?

Cities near Charleston, SC with the most Remote Aircraft Reliability Engineer job openings:

Remote Aircraft Reliability Engineer jobs near you

Software Product Engineer (Remote Opportunity)

Charleston, SC • On-site, Remote

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

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago

Job description

We are currently looking for a Software Product Engineer for a 100% remote position on a large federal government project. This role will lead the design and development of complex systems that automate complex workflows, support data-driven decision-making, and enhance healthcare technology platforms. The ideal candidate would be a highly experienced engineer with deep expertise in designing scalable cloud-based architectures and building production-grade AI applied solutions. This role will collaborate closely with engineering teams, product stakeholders, and technical leadership to translate complex concepts into secure, reliable, and scalable solutions.
The candidate must reside within the continental US.
Responsibilities
  • Design and build event-driven, data-intensive backend services in Node.js / TypeScript, using cloud native solutions such Amazon Aurora (PostgreSQL), ECS and SQS to support AI workloads at scale.
  • Decompose complex healthcare and AI workflows into a microservices architecture - defining clear service boundaries and data ownership, designing inter-service communication across synchronous REST and asynchronous messaging (SQS/event-driven) patterns, and delivering independently deployable, loosely coupled services that scale and fail independently.
  • Drive a test-driven development (TDD) practice across the team - writing tests before implementation, maintaining strong coverage across unit, integration, and contract tests, and using the test suite to guide design, prevent regressions, and ensure the reliability of AI-enabled services in a regulated environment.
  • Develop AI pipelines that process structured and unstructured data to support intelligent decision systems.
  • Design and implement scalable AI-enabled systems and services that support mission-critical healthcare platforms.
  • Design cloud-native architectures and distributed systems that support AI-driven applications.
  • Collaborate with cross-functional teams to translate product requirements and research concepts into deployable solutions.
  • 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, Software Engineering, Artificial Intelligence, or a related technical discipline.
  • 5+ years of professional software engineering experience, including significant experience designing and deploying AI-enabled systems in production environments.
  • Strong hands-on engineering experience with React and Node.js /TypeScript, building production-grade services, REST APIs, and integrations.
  • Hands-on experience with AI-assisted development tools such as Cursor, GitHub Copilot, OpenAI Codex, or Claude Code, with a proven ability to leverage these tools to accelerate development, improve productivity, and enhance code quality.
  • Hands-on experience with AWS data and messaging services, to build event-driven, data-intensive services that support AI workloads.
    Experience designing and developing microservices, REST APIs, and distributed systems supporting AI workloads.
  • Demonstrated practice of test-driven development (TDD) and automated testing (unit, integration, and contract tests) to ensure reliability and maintainability of production services.
  • Experience implementing CI/CD pipelines, containerized deployments, and DevOps practices for scalable AI systems.
  • Strong problem-solving abilities and experience troubleshooting complex distributed systems.
  • Strong communication and collaboration skills with the ability to guide technical discussions and influence engineering decisions.
Additional Qualifications
  • Experience building AI solutions within regulated environments such as healthcare or federal government systems.
  • Familiarity with FHIR, HL7, or healthcare interoperability standards.
  • Experience with AI orchestration frameworks, agent-based architecture, or intelligent automation systems.
  • Experience with relational data modeling and performance tuning on PostgreSQL / Amazon Aurora.
  • Experience building asynchronous, message-driven workflows using Amazon SQS and object storage with Amazon S3.
  • Experience with container technologies such as Docker or Kubernetes.
Benefits Security Clearance Requirements
  • U.S. Citizenship is required.
  • All selected candidates must successfully complete background check.
  • Ability to obtain and maintain a government/ public Trust clearance, including required fingerprinting, when required for the position.
Benefits
  • Medical, Dental, and Vision Insurance.
  • 401(k) with Employer Match.
  • Paid Time Off (PTO) plus Federal Holidays.
  • Corporate Laptop.
  • Training and Professional Development Opportunities.
  • 100% Remote Opportunity.

Note: Selected candidates will be required to complete fingerprinting at a government facility and undergo a background check as part of the hiring process.
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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