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Remote Telemetry Monitoring Jobs in Houston, TX (NOW HIRING)

OT Network & Site Infrastructure Engineer

Houston, TX · On-site +1

$118K - $137K/yr

  • Medical

  • Dental

  • Vision

  • PTO

... telemetry and high operational uptime across distributed sites. This role is planned to start on ... Administer secure remote access solutions including Site-to-Site VPNs, Zero Trust Network Access ...

Remote Telemetry Monitoring information

See Houston, TX salary details

$12

$21

$41

How much do remote telemetry monitoring jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for remote telemetry monitoring in Houston, TX is $21.29, according to ZipRecruiter salary data. Most workers in this role earn between $16.54 and $23.41 per hour, depending on experience, location, and employer.

What is remote telemetry monitoring?

A Remote Telemetry Monitoring job involves overseeing and analyzing data from patients, machines, or systems remotely using telemetry technology. In healthcare, this typically includes monitoring patients’ vital signs and alerting medical staff to critical changes. In other industries, such as energy or telecommunications, it involves tracking equipment performance and detecting faults in real time. The role requires strong analytical skills, attention to detail, and proficiency with monitoring software. It ensures the safety, efficiency, and optimal functioning of the monitored subjects.

What does a typical day look like for someone working in remote telemetry monitoring?

A typical day in Remote Telemetry Monitoring involves continuously observing patient data streams, analyzing vital signs for irregularities, and promptly alerting clinical teams to any significant changes. You’ll spend much of your time using specialized software to monitor multiple patients, documenting findings, and collaborating remotely with on-site nurses and physicians. The role requires high concentration and the ability to prioritize tasks efficiently within a team-based or independent work environment. While it can be fast-paced, this position offers the rewarding challenge of making a direct impact on patient care from a remote location.

What are the key skills and qualifications needed to thrive in remote telemetry monitoring?

To excel in Remote Telemetry Monitoring, strong analytical abilities, attention to detail, and a background in healthcare or allied health fields are typically required. Familiarity with telemetry software, remote patient monitoring systems, and relevant certifications such as Basic Life Support (BLS) or Certified Telemetry Technician are highly valued. Excellent communication skills, critical thinking, and the ability to work independently make candidates stand out in this position. These skills are essential for accurately interpreting data, promptly identifying abnormalities, and ensuring patient safety in a remote setting.

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

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

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

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

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

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

Infographic showing various Remote Telemetry Monitoring job openings in Houston, TX as of August 2026, with employment types broken down into 52% Part Time, and 48% Nights. Highlights an 100% Remote job distribution, with an average salary of $44,273 per year, or $21.3 per hour.

Platform Engineer - AI & Automation Platform

Inizio Partners

Houston, TX • Remote

Full-time

Posted 27 days ago


Job description

Role: Platform Engineer – AI & Automation Platform

Location: Remote

Type: Contract (Long term)

Role Summary: We are seeking a highly technical Platform Engineer focused on AI, automation, and platform enablement to help scale a governed, AI-accelerated engineering ecosystem across Power Platform, Dynamics 365, Azure, AWS, and enterprise digital applications. This role is responsible for building, operating, and advancing the shared platform capabilities that product teams depend on to deliver secure, scalable, AI-enabled solutions. The engineer will help drive platform reliability, AI enablement, automation, CI/CD modernization, observability, and developer acceleration across the SDLC. The ideal candidate combines strong platform engineering fundamentals with hands-on experience in automation, AI-assisted development workflows, cloud platforms, APIs, integrations, and enterprise delivery tooling.

Key Responsibilities

  • Build, manage, and evolve shared platform engineering capabilities across Power Platform, Dynamics 365 F&O, Azure, AWS, APIs, integrations, and digital applications
  • Support and operationalize AI-enabled development workflows including local agents, Copilot-assisted engineering, orchestration services, and automated SDLC pipelines
  • Design and maintain CI/CD pipelines, deployment automation, environment strategies, release controls, and platform governance standards
  • Implement reusable platform services, automation frameworks, connectors, templates, shared components, and developer acceleration tooling
  • Support AI and automation lifecycle capabilities including Power Platform Copilot Studio, M365 Copilot integrations, Azure AI Foundry, machine learning workflows, and agent orchestration patterns
  • Build and support platform observability including telemetry, logging, monitoring, alerting, tracing, and operational dashboards
  • Support automated quality engineering practices including pipeline validation, regression execution, automated testing integration, and release gating
  • Implement and operationalize platform security controls including RBAC, managed identities, API security, secrets management, DLP policies, audit logging, and environment governance
  • Partner with Enterprise Architecture, Cybersecurity, Cloud Engineering, and Data & AI teams to align implementations with enterprise standards and governance requirements
  • Support AI governance practices including behavioral monitoring, agent lifecycle controls, Responsible AI enforcement, risk evaluation, and operational review processes
  • Assist product and engineering teams with platform onboarding, automation adoption, environment provisioning, troubleshooting, and platform optimization
  • Drive platform reliability, resiliency, scalability, and operational excellence across shared engineering services
  • Contribute to developer experience improvements through automation, self-service tooling, standardized patterns, and reusable engineering assets
  • Support cost optimization, performance tuning, and operational efficiency initiatives across cloud and platform services

Required Qualifications

  • 8+ years of experience in Platform Engineering, Cloud Engineering, DevOps, Automation Engineering, or related enterprise engineering roles
  • Hands-on experience with Microsoft Power Platform, Dataverse, Dynamics 365 F&O, Azure services, and enterprise integrations
  • Experience building and supporting CI/CD pipelines using Azure DevOps, GitHub, or similar platforms
  • Experience with infrastructure automation, deployment scripting, environment management, and configuration management
  • Strong understanding of APIs, integrations, authentication, OAuth, REST services, and enterprise integration patterns
  • Experience supporting cloud-native and hybrid architectures across Azure and AWS
  • Experience with observability tooling, monitoring platforms, telemetry pipelines, and operational diagnostics
  • Experience with AI-enabled engineering workflows, Copilot technologies, LLM integrations, automation tooling, or agentic workflows
  • Strong understanding of platform security, governance, operational controls, and enterprise engineering standards
  • Experience supporting agile product delivery teams in large enterprise environments
  • Strong troubleshooting, automation, and systems thinking capabilities

Preferred Qualifications

  • Experience with Power Platform Copilot Studio, Azure AI Foundry, Azure OpenAI, or enterprise AI enablement platforms
  • Experience supporting AI orchestration, MCP-based integration patterns, automation agents, or AI-assisted SDLC workflows
  • Experience with automated testing frameworks, Playwright, pipeline-based quality enforcement, or test automation platforms
  • Experience with containerization, serverless architectures, and modern cloud platform services
  • Experience with Application Insights, Log Analytics, Power BI operational reporting, or enterprise telemetry platforms
  • Familiarity with SOX controls, audit readiness, operational governance, and regulated enterprise environments

Core Competencies

  • Microsoft Power Platform
  • Dataverse
  • Dynamics 365 Finance & Operations
  • Azure Services
  • AWS Services
  • Azure DevOps
  • GitHub
  • REST APIs & Integrations
  • Power Platform Copilot Studio
  • M365 Copilot
  • Azure AI Foundry
  • CI/CD & Automation Tooling
  • Observability & Monitoring Platforms
  • Automated Testing & Quality Engineering Tooling