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Remote Observability Jobs in Houston, TX (NOW HIRING)

YO AI Labs

Infrastructure Expert - Remote

Houston, TX · Remote

$30 - $80/hr

Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI ... Observability * ChatGPT Work * Claude Code * Claude Cowork * AI Agents * Workplace Connectors ...

YO AI Labs

DevOps Expert - Remote

Houston, TX · Remote

$30 - $80/hr

Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI ... Observability * ChatGPT Work * Claude Code * Claude Cowork * AI Agents * Workplace Connectors ...

Celersoft

infrastructure engineer

Houston, TX · Remote

$65 - $70/hr

Hands-on engineering Remote Required Skills: Strong data infrastructure and production-support ... on observability experience (logs, metrics, dashboards, monitoring, alerting) Ability to work ...

Cisco

Leader, Solutions Engineer, Splunk

Houston, TX · Remote

This role can be performed remote within the US Must be authorized to work in the United States ... Hands-on experience with Splunk Enterprise, Splunk Cloud, or ITSI/ES or Observability Experience ...

Cisco

Leader, Solutions Engineer, Splunk

Houston, TX · On-site +1

This role can be performed remote within the US Must be authorized to work in the United States ... observability, or security operations - Splunk experience a strong plus • Experience with ...

SupplyHouse

Principal Engineer

Houston, TX · Remote

$50K - $60K/yr

Evaluate, recommend, and implement architectural improvements to enhance scalability, observability, and resilience. * Define and uphold best practices for code quality, security, accessibility, and ...

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Remote Observability information

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How much do remote observability jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for remote observability in Houston, TX is $20.53, according to ZipRecruiter salary data. Most workers in this role earn between $17.21 and $21.83 per hour, depending on experience, location, and employer.

What is remote observability?

Remote observability refers to the ability to monitor, measure, and understand the state and performance of systems, applications, or infrastructure from a distance, typically using specialized tools and platforms. It is crucial for organizations that operate distributed or cloud-based environments, as it allows teams to detect issues, analyze metrics, and ensure reliability without needing physical access to the hardware. Remote observability often involves collecting logs, metrics, traces, and other telemetry data to provide a comprehensive view of system health and performance.

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

To thrive as a Remote Observability Engineer, you need expertise in monitoring, logging, and tracing, typically supported by experience in systems administration or DevOps and a relevant technical degree. Familiarity with observability tools like Prometheus, Grafana, Datadog, ELK Stack, and cloud monitoring platforms, as well as certifications such as AWS Certified Cloud Practitioner or Google Professional Cloud DevOps Engineer, is highly valued. Strong analytical thinking, problem-solving, and effective communication are vital soft skills for diagnosing issues and collaborating with distributed teams. These skills and qualifications ensure reliable system performance, rapid incident response, and seamless user experiences in complex, cloud-based environments.

What are some common challenges faced by professionals in a remote observability role, and how can they be addressed?

Professionals in Remote Observability often face challenges such as monitoring complex, distributed systems, ensuring reliable data collection, and quickly identifying the root causes of issues without physical access to infrastructure. To address these challenges, it's essential to implement robust monitoring tools, establish clear alerting thresholds, and maintain strong communication with development and operations teams. Regular knowledge-sharing sessions and continuous learning about new observability platforms can also help remote teams stay effective and proactive.

What is the difference between Remote Observability vs Remote Monitoring?

AspectRemote ObservabilityRemote Monitoring
FocusComprehensive system insights, including logs, metrics, and tracesTracking specific system metrics and alerts
ToolsOpenTelemetry, Grafana, JaegerNagios, Zabbix, Datadog
Work EnvironmentDevOps, SRE teams managing complex distributed systemsIT operations teams overseeing system health
CredentialsKnowledge of cloud platforms, scripting, and monitoring toolsBasic networking, system administration skills

Remote Observability provides a holistic view of system health through logs, metrics, and traces, enabling proactive troubleshooting. Remote Monitoring focuses on tracking specific metrics and alerts to detect issues. While both roles involve system oversight, observability offers deeper insights for complex environments, whereas monitoring emphasizes real-time alerts for system stability.

What are the most commonly searched types of Observability jobs in Houston, TX?

The most popular types of Observability jobs in Houston, TX are:

What are popular job titles related to Remote Observability jobs in Houston, TX?

For Remote Observability jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching Remote Observability jobs in Houston, TX look for?

The top searched job categories for Remote Observability jobs in Houston, TX are:

What cities near Houston, TX are hiring for Remote Observability jobs?

Cities near Houston, TX with the most Remote Observability job openings:

Remote Observability jobs near you

Infrastructure Expert - Remote

Houston, TX • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$30 - $80/hr

Full-time

Posted 13 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.