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Remote Hardware Reliability Engineer Jobs in Ho Ho Kus, NJ

Senior SRE Engineer

New York, NY · 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

We combine proprietary hardware, AI-powered intelligence, and deep integrations with the technology ... You will lead and scale the SRE team to ensure our infrastructure stays ahead of demand, operates ...

Senior SRE Engineer

New York, NY · 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

Incident management / reliability / SRE Evaluator Type: Contract Compensation: $80-$120/hour ... Remote Role Responsibilities * Evaluate AI-generated artifacts against domain-specific quality ...

New

Staff Site Reliability Engineer

New York, NY · 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 · 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 ...

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Remote Hardware Reliability Engineer information

See Ho Ho Kus, NJ salary details

$65.5K

$126.7K

$151.5K

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

As of Aug 28, 2026, the average yearly pay for remote hardware reliability engineer in Ho Ho Kus, NJ is $126,746.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,100.00 and $138,600.00 per year, depending on experience, location, and employer.

What is a remote hardware reliability engineer?

A Remote Hardware Reliability Engineer is a professional who assesses, tests, and improves the reliability and durability of hardware components and systems, all while working remotely. They analyze failure data, design tests, and recommend modifications to ensure products meet quality and performance standards. This role often involves collaborating with engineering teams using digital communication tools, running simulations, and reviewing data to prevent future hardware failures. By working remotely, these engineers can support projects from anywhere, offering flexibility while maintaining high standards for hardware reliability.

What are the key skills and qualifications needed to thrive as a remote hardware reliability engineer?

To thrive as a Remote Hardware Reliability Engineer, you typically need a degree in electrical or mechanical engineering, strong analytical skills, and experience with hardware testing and failure analysis. Familiarity with reliability testing tools like HALT/HASS, statistical analysis software, and reliability modeling systems is important, along with certifications such as CRE (Certified Reliability Engineer). Outstanding problem-solving abilities, attention to detail, and effective remote communication are crucial soft skills for collaborating with global teams and addressing issues proactively. These competencies ensure the development and maintenance of robust, reliable hardware products, minimizing failures and optimizing performance in diverse environments.

How does a remote hardware reliability engineer collaborate effectively with cross-functional teams while working offsite?

As a Remote Hardware Reliability Engineer, effective collaboration with cross-functional teams—such as design, manufacturing, and quality assurance—is typically achieved through regular virtual meetings, collaborative platforms, and detailed documentation. You’ll often participate in remote design reviews, data analysis sessions, and troubleshooting calls to address reliability concerns. Clear communication and proactive project updates are essential to ensure everyone is aligned, especially when working across different time zones or locations. Building strong relationships with team members via consistent online interaction helps maintain project momentum and ensures reliability standards are met.

What is the difference between Remote Hardware Reliability Engineer vs Remote Hardware Test Engineer?

AspectRemote Hardware Reliability EngineerRemote Hardware Test Engineer
CredentialsEngineering degree, certifications in reliability or hardware engineeringEngineering degree, certifications in testing or quality assurance
Work EnvironmentDesigning reliability strategies, analyzing failure data, improving hardware durabilityDeveloping and executing testing procedures, validating hardware performance
Industry UsageManufacturers, tech companies, aerospace, automotiveManufacturers, consumer electronics, hardware development firms

While both roles focus on hardware, the Remote Hardware Reliability Engineer emphasizes ensuring long-term durability and reliability through analysis and design improvements. In contrast, the Remote Hardware Test Engineer concentrates on testing hardware components to verify performance and quality before deployment.

What cities near Ho Ho Kus, NJ are hiring for Remote Hardware Reliability Engineer jobs?

Cities near Ho Ho Kus, NJ with the most Remote Hardware Reliability Engineer job openings:

Infographic showing various Remote Hardware Reliability Engineer job openings in Ho Ho Kus, NJ as of August 2026, with employment types broken down into 93% Full Time, 3% Part Time, and 4% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $126,746 per year, or $60.9 per hour.

Site Reliability Engineering(SRE) - Remote

New York, NY • Remote

$30 - $80/hr

Full-time

Posted 4 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.