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Remote Reliability Engineer Jobs in Columbia, SC

Tenstorrent

Staff Forward Deployed Engineer

North, SC · On-site +1

$100K - $500K/yr

This role is remote, based out of North America, with preference near one of our main hubs: Santa ... Reliability Engineer, Field Application Engineer). * Experience turning ambiguous customer ...

Posted today

Motorola

Senior DevOps Engineer (US REMOTE)

Lexington, SC · Remote

$140K - $170K/yr

... s Full-Stack Engineer with expertise in IaC (Terraform), Helm, MySQL, Kubernetes, and CI/CD ... Monitor, troubleshoot, and optimize system performance and reliability * Contribute to the creation ...

Stacklok

Sr. Software Engineer - Platform

North, SC · Remote

$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 ...

Third-Party Job Posts

Senior Backend Engineer

North, SC · Remote

$140K - $160K/yr

Location: Remote How You'll Make an Impact: As a Senior Backend Engineer on the Booking Engine ... It sits on the revenue-critical path, so speed, reliability, and getting the details right directly ...

Third-Party Job Posts

Senior Backend Engineer

North, SC · Remote

$140K - $160K/yr

Location: Remote How You'll Make an Impact: As a Senior Backend Engineer on the Booking Engine ... It sits on the revenue-critical path, so speed, reliability, and getting the details right directly ...

Cloudbeds

Senior Backend Engineer

North, SC · Remote

$140K - $160K/yr

Location: Remote How You'll Make an Impact: As a Senior Backend Engineer on the Booking Engine ... It sits on the revenue-critical path, so speed, reliability, and getting the details right directly ...

Samtec, Inc

Connector Product Design Engineer

Columbia, SC · On-site +1

$119K - $143K/yr

Columbia, SC; or remote/hybrid arrangements based on experience and business needs. Design the Next ... reliability, and manufacturability. * Influence product architecture, design standards, and ...

Samtec, Inc

Connector Product Design Engineer

Columbia, SC · On-site +1

$119K - $143K/yr

Columbia, SC; or remote/hybrid arrangements based on experience and business needs. Design the Next ... reliability, and manufacturability. * Influence product architecture, design standards, and ...

Cloudbeds

Senior Frontend Engineer

North, SC · Remote

$140K - $160K/yr

Remote How You'll Make an Impact: As a Senior Frontend Engineer on the squad, you'll build and ... It sits on the revenue-critical path, so speed, reliability, and getting the details right directly ...

Third-Party Job Posts

Senior Frontend Engineer

North, SC · Remote

$140K - $160K/yr

Remote How You'll Make an Impact: As a Senior Frontend Engineer on the squad, you'll build and ... It sits on the revenue-critical path, so speed, reliability, and getting the details right directly ...

Cloudbeds

Senior Software Engineer

North, SC · Remote

$145K - $165K/yr

... reliability our customers depend on. If you thrive on solving hard technical problems with real ... distributed, remote-first team Bonus Skills to Stand Out: * Experience designing and building ...

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All JobsReliability Engineer JobsRemote Reliability Engineer JobsRemote Reliability Engineer Jobs in Columbia, SC

Remote Reliability Engineer information

See Columbia, SC salary details

$56.4K

$109.1K

$130.4K

How much do remote reliability engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for remote reliability engineer in Columbia, SC is $109,141.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,800.00 and $119,300.00 per year, depending on experience, location, and employer.

What is the difference between Remote Reliability Engineer vs Remote Site Reliability Engineer?

AspectRemote Reliability EngineerRemote Site Reliability Engineer
CredentialsTypically requires certifications like AWS Certified Solutions Architect, Linux Foundation certificationsSimilar credentials, often with additional focus on site-specific tools and monitoring
Work EnvironmentPrimarily remote, focusing on cloud infrastructure and system reliabilityRemote with some on-site responsibilities, focusing on infrastructure and operational stability
Industry UsageUsed across tech, cloud providers, SaaS companiesCommon in data centers, cloud providers, and large enterprise IT
Search & Comparison IntentOften compared due to overlapping roles in system reliability and cloud infrastructureCompared for on-site vs remote operational responsibilities

The main difference is that Remote Reliability Engineers focus on cloud and system reliability remotely, while Remote Site Reliability Engineers may have some on-site duties related to infrastructure. Both roles require similar skills and certifications but differ in their work environment and specific responsibilities.

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

To thrive as a Remote Reliability Engineer, you need a strong background in systems engineering, software development, and infrastructure management, often supported by a degree in computer science or a related field. Proficiency with cloud platforms (such as AWS, Azure, or GCP), monitoring tools (like Prometheus, Grafana), and relevant certifications (e.g., AWS Certified DevOps Engineer) is highly valuable. Excellent problem-solving, communication, and collaboration skills are crucial for working effectively across distributed teams and responding to incidents. These abilities ensure system reliability, quick incident resolution, and seamless remote teamwork, which are vital for maintaining high service uptime and user satisfaction.

How do remote reliability engineers typically collaborate with on-site teams to address urgent technical issues?

Remote Reliability Engineers often utilize a combination of video conferencing, instant messaging, and collaborative monitoring tools to stay closely connected with on-site teams. When urgent technical issues arise, they participate in real-time troubleshooting sessions, analyze system logs remotely, and may guide on-site staff through step-by-step resolution procedures. Building strong communication channels and regular check-ins are essential to ensure swift and effective collaboration, even across different time zones. This structure allows Remote Reliability Engineers to contribute significantly to system uptime while working from a distance.

What is a remote reliability engineer?

A Remote Reliability Engineer is a professional who works from a remote location to ensure that systems, applications, or infrastructure are reliable, available, and performing well. Their responsibilities typically include monitoring system health, diagnosing issues, implementing preventative measures, and collaborating with teams to improve system reliability. They often use tools for automation, incident response, and performance monitoring, all while working offsite. This role is critical in minimizing downtime and ensuring a smooth user experience, especially for companies with complex technical environments. Remote Reliability Engineers must have strong problem-solving skills and be proficient in cloud technologies, automation, and incident management.
What are popular job titles related to Remote Reliability Engineer jobs in Columbia, SC? For Remote Reliability Engineer jobs in Columbia, SC, the most frequently searched job titles are:
What job categories do people searching Remote Reliability Engineer jobs in Columbia, SC look for? The top searched job categories for Remote Reliability Engineer jobs in Columbia, SC are:
What cities near Columbia, SC are hiring for Remote Reliability Engineer jobs? Cities near Columbia, SC with the most Remote Reliability Engineer job openings:
Remote Reliability Engineer jobs near you

Staff Forward Deployed Engineer

Tenstorrent

North, SC • On-site, Remote

$100K - $500K/yr

Other

Posted 18 hours ago

Posted today

Job description

We're looking for a Forward Deployed Engineer who's excited to build with the engineers using the AI computers Tenstorrent makes. You will create continuity between customers, engineering, and AI inference service products. This is an engineering role first: you contribute production code, operate deployments, and you can explain a trade-off to customer leadership as clearly as to core engineering teams. This is a high-autonomy role with direct customer impact.

This role is remote, based out of North America, with preference near one of our main hubs: Santa Clara, CA; Austin, TX; or Toronto, ON.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

  • You understand how accelerator compute, memory, and networking topology constrain AI workloads, and don't treat hardware as a black box.
  • You're an early adopter of AI for your work from coding to building agentic workflows that multiply your impact.
  • You work directly with customers to understand their challenges and provide effective solutions.
  • You are comfortable debugging across the full inference stack: from failing requests, through the serving layer, down to OOMs or kernel dispatch if need be.
  • You bring feedback in the form of pull requests, reproducible code, benchmarks, and telemetry data.

What We Need

  • Strong software engineering skills with 5+ years of relevant technical experience (e.g. Applied Engineer, Machine Learning Engineer, MLOps Engineer, Platform Engineer, Infrastructure Engineer, Site Reliability Engineer, Field Application Engineer).
  • Experience turning ambiguous customer requirements or issues into verifiable acceptance criteria.
  • Kubernetes and Helm experience at multi-node, HPC, or AI cluster scale.
  • Experience with observability and infrastructure automation, e.g. Prometheus, Grafana, OpenTelemetry.
  • Experience with LLM inference serving engines and technologies, e.g. vLLM, SGLang, Mooncake, NIM, Dynamo, LMCache.

What You Will Learn

  • Where co-design of AI hardware and software translates into unique latency and throughput performance.
  • How to scale disaggregated inference services on Kubernetes while balancing performance, reliability, and tactical tradeoffs.
  • What makes enterprise AI deployments successful: from technical requirements through software delivery, cluster-scale validation, and production ownership.
  • Why customer insights from the field shape the best products.
  • How to build agentic workflows for asymmetric impact.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

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