2

Remote Aircraft Reliability Engineer Jobs in New York

Senior SRE Engineer

New York, NY ยท On-site +1

$62.25 - $82.75/hr

New York, NY (Hybrid) / Remote Department: Engineering The Role Flowcode is seeking a Senior Site Reliability Engineer (SRE) to work on reliability and infrastructure efforts across our platforms.

New

Staff Site Reliability Engineer

New York, NY ยท Remote

$62.25 - $82.75/hr

... remote work and occasional travel to HQ. What you will do: * Own the Reliability Strategy ... Multiply the Engineering Team: Build and own the deployment and observability standards that ...

DevOps Expert - Remote

New York, NY ยท Remote

$57.75 - $79/hr

Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI ... SRE, and platform engineering. You will test AI-generated commands, configurations, and workflows ...

Infrastructure Expert - Remote

New York, NY ยท Remote

$117K - $154K/yr

Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI-powered workflows across software development, cloud infrastructure, DevOps, SRE, and platform ...

Senior Software Engineer, Reliability Remote, US About Nametag Nametag is building the future of secure digital identity. Our mission is to make it easy for people and organizations to prove who they ...

DevOps Engineer - Remote

New York, NY ยท Remote

$57.75 - $79/hr

... Engineer Role Type: Contractor Location: Remote Job Overview We are seeking experienced DevOps ... Maintain high standards for correctness, reliability, and reproducibility. * Provide structured ...

Position: DevOps / SRE / Cloud Engineer (Coding Agent Experience) Type: Contract Compensation: $85/hour Location: Remote Role Responsibilities * Use frontier AI coding agents to complete and evaluate ...

next page

Showing results 1-20

Remote Aircraft Reliability Engineer information

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 the most commonly searched types of Aircraft Reliability Engineer jobs in New York?

The most popular types of Aircraft Reliability Engineer jobs in New York are:

What are popular job titles related to Remote Aircraft Reliability Engineer jobs in New York?

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

What cities in New York are hiring for Remote Aircraft Reliability Engineer jobs?

Cities in New York with the most Remote Aircraft Reliability Engineer job openings:

Site Reliability Engineering(SRE) - Remote

New York, NY โ€ข Remote

$62.25 - $82.75/hr

Full-time

Posted 5 days ago


Job description

Developer & Infrastructure Expert

Role Type: Contractor
Location: Remote

Job Overview

We are seeking experienced Developer & Infrastructure Experts to evaluate AI-powered workflows across software development, cloud infrastructure, DevOps, SRE, and platform engineering. You will test AI-generated commands, configurations, and workflows and provide practical feedback based on real-world engineering standards.

No prior AI experience is required—your technical expertise and infrastructure knowledge are what matter most.

Key Responsibilities
  • Test and validate AI-assisted workflows across DevOps, cloud, infrastructure, and platform engineering.
  • Evaluate AI-generated commands, configurations, scripts, and deployment workflows for accuracy and reliability.
  • Work with AWS, Azure, GCP, Kubernetes, Docker, Terraform, and CI/CD environments.
  • Review workflows involving GitHub, GitLab, Azure DevOps, and JIRA.
  • Assess AI agents and workplace connectors across tools such as Slack, Google Drive, and Microsoft 365.
  • Identify technical errors, security or reliability concerns, and workflow gaps.
  • Document findings and provide clear, actionable feedback.
  • Recommend improvements based on real-world engineering practices and industry standards.
  • Collaborate remotely with project stakeholders through written evaluations and virtual discussions.
Required Skills
  • Azure DevOps
  • Cloud Infrastructure
  • Site Reliability Engineering (SRE)
  • Platform Engineering
  • AWS / Azure / GCP
  • Kubernetes / Docker
  • Terraform
  • CI/CD
  • GitHub / GitLab / JIRA
  • Observability
  • ChatGPT Work
  • Claude Code
  • Claude Cowork
  • AI Agents
  • Workplace Connectors
Preferred Qualifications
  • Professional experience in software engineering, DevOps, SRE, cloud, platform, or infrastructure engineering.
  • Hands-on experience with major cloud platforms, Kubernetes, Docker, Terraform, CI/CD, and observability tools.
  • Experience with developer workflow and project management platforms such as GitHub, GitLab, Azure DevOps, and JIRA.
  • Experience using AI agents such as ChatGPT, Claude Code, Claude Cowork, or Codex in development or infrastructure workflows.
  • Strong ability to evaluate technical processes and provide actionable feedback.
  • Excellent written and verbal communication skills.
  • Experience with workplace connectors, automation, or AI-powered infrastructure workflows is a plus.