2

Remote Observability Engineer Jobs in Springfield, OH

Software Engineer

Dayton, OH · On-site +1

$100K - $120K/yr

Additional experience with monitoring and observability platforms such as Grafana and Jaeger is ... Preferred local to the Dayton, Ohio area and work may be remote or in office. Location: * Candidate ...

Software Engineer

Dayton, OH · On-site +1

$100K - $120K/yr

Additional experience with monitoring and observability platforms such as Grafana and Jaeger is ... Preferred local to the Dayton, Ohio area and work may be remote or in office. Location: * Candidate ...

Remote Observability Engineer information

See Springfield, OH salary details

$34.2K

$104.4K

$172.5K

How much do remote observability engineer jobs pay per year?

As of Jul 29, 2026, the average yearly pay for remote observability engineer in Springfield, OH is $104,364.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,800.00 and $136,500.00 per year, depending on experience, location, and employer.

What are the typical collaboration patterns for a Remote Observability Engineer working with distributed teams?

Remote Observability Engineers frequently collaborate with software developers, DevOps teams, and IT operations to ensure systems are monitored effectively and issues are detected early. Working remotely, you'll often use communication tools like Slack, Jira, and video conferencing to coordinate incident response, discuss monitoring strategies, and review system health dashboards. Regular sync meetings and asynchronous updates are common, and you'll likely contribute to documentation and knowledge sharing to keep all stakeholders informed. Building strong communication habits is important, as much of the troubleshooting and improvement work hinges on clear coordination with multiple teams.

What are the key skills and qualifications needed to thrive as a Remote Observability Engineer, and why are they important?

To thrive as a Remote Observability Engineer, you need strong expertise in monitoring, logging, and tracing systems, along with a background in computer science or related technical fields. Familiarity with tools like Prometheus, Grafana, ELK Stack, Datadog, and cloud platforms is typically required, as well as relevant certifications such as AWS Certified Cloud Practitioner or Google Cloud Professional DevOps Engineer. Excellent problem-solving abilities, communication skills, and a proactive mindset help you detect and resolve issues before they impact users. These competencies ensure system reliability, enable rapid incident response, and support seamless collaboration in distributed environments.

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

AspectRemote Observability EngineerSite Reliability Engineer
CredentialsKnowledge of monitoring tools, scripting, cloud platformsSame as Observability Engineer, plus SRE certifications often preferred
Work EnvironmentFocus on monitoring, logging, and tracing systems remotelyBroader scope including system reliability, incident response, and automation
Industry UsagePrimarily in tech, SaaS, cloud servicesWidely in tech, finance, and large-scale online services

The Remote Observability Engineer specializes in monitoring and analyzing system performance remotely, focusing on tools like logs and metrics. In contrast, the Site Reliability Engineer has a broader role, ensuring overall system reliability, automation, and incident management. While both roles require similar technical skills, SREs often have additional responsibilities related to system resilience and scalability.

What is a Remote Observability Engineer?

A Remote Observability Engineer is a professional responsible for designing, implementing, and maintaining systems that monitor the health, performance, and reliability of software applications and infrastructure from a remote location. They use observability tools to collect and analyze logs, metrics, and traces, helping organizations quickly detect and resolve issues. Their work ensures that distributed systems are transparent, reliable, and efficient, often collaborating with development, operations, and security teams. Remote Observability Engineers often work from anywhere, leveraging cloud-based tools and platforms to manage complex IT environments.
What cities near Springfield, OH are hiring for Remote Observability Engineer jobs? Cities near Springfield, OH with the most Remote Observability Engineer job openings:

Senior AI GPU Deployment Engineer

5C Data Centers USA, Inc.

Springfield, OH • Remote

$120K - $150K/yr

Full-time

Posted 6 days ago


Job description

5C DATA CENTERS

Join the Future of Digital Infrastructure

Are you a passionate Senior AI GPU Deployment Engineer looking to make a meaningful impact? We're building the next generation of digital infrastructure powering hyperscalers, AI innovation, and high-performance computing across North America.

JOB TITLE

Senior AI GPU Deployment Engineer

DEPARTMENT

Cloud Ops

LOCATION

USA

WORK ARRANGEMENT

Remote

TRAVEL REQUIREMENTS

Minimal (less than 10%)

SALARY RANGE

$120,000 – $150,000

Role Summary

We are seeking an experienced Senior AI GPU Deployment Engineer to plan, deploy, and operationalize large-scale GPU AI infrastructure environments. This role delivers production-grade GPU clusters supporting AI training, inference, and high-performance computing workloads in our hyperscale data centers.

The ideal candidate brings deep technical expertise in GPU infrastructure, network fabrics, storage, automation, and Linux systems administration, combined with strong execution and troubleshooting skills.

How We Work at 5C

Our core values guide how we collaborate, make decisions, support one another, and serve our customers. We're looking for people who embrace them and help us build something great.

We're looking for a Senior AI GPU Deployment Engineer to join our Cloud Ops team in the United States. This person will share our company values and play an important role in supporting our continued growth.

What You Will Do

  • Deploy integrate and validate multi-rack GPU-based compute platform deployments
  • Deploy fabric configuration engines (Subnet Manager), observability platforms (UFM) and validate interconnect and fabric performance (nccl)
  • Collaborate with network engineering team on topology implementation and optimization and storage engineering team on deployment and integration of high-performance storage environments supporting AI workloads (e.g. VAST Data)
  • Configure settings and manage firmware updates for GPUs, NICs, BMC, BIOS and other components across large-scale clusters
  • Contribute to infrastructure-as-code automation development for cluster provisioning and lifecycle management
  • Contribute to improving and documenting repeatable deployment methodologies and scalable operational standards
  • Query and analyze deployment outcomes using SQL for diagnostics and operational reporting

What You Bring

  • Bachelor's degree in Computer Science, Engineering, IT, or related field (or equivalent experience)
  • 5+ years of infrastructure engineering or datacenter deployment experience
  • 3+ years deploying large-scale AI, HPC, or GPU infrastructure
  • Hands-on experience deploying and operating large GPU clusters in enterprise or hyperscale environments
  • Strong expertise with:
    • GPU architectures
    • InfiniBand (NDR/XDR) and Ethernet GPU fabrics (Spectrum-X)
    • NVLink, NVSwitch, and GPU-direct technologies
    • Canonical MaaS and automated provisioning systems
    • VAST Data or similar high-performance storage platforms
    • Linux systems administration for HPC/AI workloads
    • Infrastructure-as-Code and configuration management (Ansible)
    • Python, Shell, and SQL for infrastructure automation and diagnostics
  • Strong understanding of:
    • RDMA, RoCE, and lossless Ethernet fabrics
    • Cluster automation, observability, and lifecycle management

Why Join 5C Data Centers?

At 5C, we believe great people build great companies. You'll build a rewarding career while helping shape the future of digital infrastructure - one of the fastest-growing industries in the world.

Career Growth

Build a rewarding career in one of the world's fastest-growing industries.

Industry Leadership

Help power the infrastructure behind AI and high-performance computing.

Entrepreneurial Culture

Your ideas matter - we empower employees to help shape our future.

Comprehensive Rewards

Competitive pay plus meaningful, lasting impact on the work you do.

Life at 5C

We're more than a workplace - we're a team of builders, innovators, and problem-solvers united by a shared purpose: creating infrastructure that powers the technologies transforming our world. Your voice matters here, and we encourage fresh ideas at every level.

Ready to Apply?

If this opportunity sounds like the right fit for you, we'd love to hear your story. Apply today and discover what your future could look like at 5C Data Centers.

5C Data Centers is an equal opportunity employer.

We celebrate diversity and are committed to creating an inclusive environment where everyone can thrive. 5C evaluates qualified applicants without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, disability status, or any other legally protected characteristic.