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Remote Contract Reliability Engineer Jobs in South Carolina

$53 - $60/hr

LOCATION Remote, USA COMPENSATION $53-$60 per hour SCHEDULE Monday-Friday | 40 Hours/Week CONTRACT ... Apply engineering judgment to support gas turbine component design, reliability, and fleet ...

Monitor, troubleshoot, and optimize system performance and reliability * Contribute to the creation ... Government Contract Mandates and access to sensitive public safety data. * Experience with ...

Sr. Software Engineer - Platform

North, SC · On-site +1

$189K - $231K/yr

Location This is a remote role based in North America, with a strong preference for candidates ... Took a rough or partial subsystem to production-hardened, measurably improving its reliability or ...

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Remote Contract Reliability Engineer information

What is a remote contract reliability engineer?

Remote Contract Reliability Engineers are professionals who work remotely, usually on a contract basis, to ensure that systems, equipment, or software operate reliably and efficiently. Their main focus is on analyzing data, troubleshooting issues, and implementing improvements to enhance the dependability and performance of products or processes. They collaborate with teams virtually to identify potential failures, recommend solutions, and help organizations minimize downtime and maintenance costs. Their work spans various industries such as manufacturing, technology, and energy, and typically involves using specialized tools and methodologies to predict and prevent problems before they occur.

How does a remote contract reliability engineer typically collaborate with on-site teams and stakeholders?

As a Remote Contract Reliability Engineer, you will frequently collaborate with on-site teams through virtual meetings, project management platforms, and real-time data sharing tools. Strong communication skills are essential, as you'll provide recommendations, troubleshoot issues, and review maintenance or performance data remotely. You may also participate in regular status updates and coordinate with cross-functional teams—such as operations, maintenance, and safety—to implement reliability improvements and ensure asset uptime. Successful remote collaboration often relies on proactive communication and clear documentation of your analyses and recommendations.

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

To thrive as a Remote Contract Reliability Engineer, you need a solid background in reliability engineering, failure analysis, and maintenance planning, often supported by a degree in engineering and relevant industry experience. Familiarity with reliability analysis software (like ReliaSoft), asset management systems, and certifications such as Certified Reliability Engineer (CRE) are typically required. Strong problem-solving, communication, and self-motivation skills are essential for effectively collaborating and delivering results in a remote, contract-based environment. These skills ensure the engineer can optimize system reliability, reduce downtime, and meet client expectations efficiently from a remote location.

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

AspectRemote Contract Reliability EngineerRemote Contract Maintenance Technician
CredentialsEngineering degree, certifications like Six Sigma or Reliability EngineeringTechnical diploma or certifications in maintenance or HVAC
Work EnvironmentDesigning reliability strategies, analyzing data remotely, consultingPerforming repairs, inspections, and preventive maintenance remotely or on-site
Employer & Industry UsageManufacturing, energy, aerospace industriesManufacturing plants, facilities management, industrial sectors

The Remote Contract Reliability Engineer focuses on analyzing systems, improving reliability, and providing remote consulting, while the Remote Contract Maintenance Technician handles hands-on repairs and maintenance tasks. Both roles may work remotely or on-site, but their core responsibilities and required skills differ significantly.

What are popular job titles related to Remote Contract Reliability Engineer jobs in South Carolina?

For Remote Contract Reliability Engineer jobs in South Carolina, the most frequently searched job titles are:

What job categories do people searching Remote Contract Reliability Engineer jobs in South Carolina look for?

The top searched job categories for Remote Contract Reliability Engineer jobs in South Carolina are:

What cities in South Carolina are hiring for Remote Contract Reliability Engineer jobs?

Cities in South Carolina with the most Remote Contract Reliability Engineer job openings:

Software Product Engineer (Remote Opportunity)

VetsEZ

Charleston, SC • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 4 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.