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Overnight Remote Telemetry Monitoring Jobs in Riverside, CA

Shield

Service Desk Manager - Tier II

Anaheim, CA · On-site +1

$93K - $108K/yr

IronOrbit - Remote Compensation: $93,600 - $108,160 / year Description IronOrbit is seeking a Tier ... Oversee the end-to-end incident lifecycle: monitor ticket queues, triage incidents, coordinate ...

Atlas Copco

Service Technician

Santa Ana, CA · Remote

$34 - $42/hr

... remote monitoring, and air audits. * You will pressure wash and clean the customer's entire ... overnight travel & possible overnight travel depending on the assigned territory * You will be ...

Atlas Copco

Service Technician

Santa Ana, CA · On-site +1

$34 - $42/hr

... remote monitoring, and air audits. * You will pressure wash and clean the customer's entire ... overnight travel & possible overnight travel depending on the assigned territory * You will be ...

All JobsTelemetry Monitoring JobsOvernight Remote Telemetry Monitoring JobsOvernight Remote Telemetry Monitoring Jobs in Riverside, CA

Overnight Remote Telemetry Monitoring information

See Riverside, CA salary details

$13

$23

$45

How much do overnight remote telemetry monitoring jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for overnight remote telemetry monitoring in Riverside, CA is $23.25, according to ZipRecruiter salary data. Most workers in this role earn between $18.08 and $25.58 per hour, depending on experience, location, and employer.

What is overnight remote telemetry monitoring?

Overnight remote telemetry monitoring involves observing and analyzing patients’ vital signs, such as heart rate and rhythm, from a remote location during nighttime hours. Technicians or nurses use specialized equipment to monitor patients in hospitals or care facilities, alerting medical staff to any irregularities or emergencies. This job is crucial for ensuring patient safety when direct supervision may be limited, especially during overnight shifts. The role typically requires strong attention to detail, familiarity with medical technology, and the ability to respond quickly to potential health issues.

What are the key skills and qualifications needed to thrive as an overnight remote telemetry monitoring technician?

To thrive as an Overnight Remote Telemetry Monitoring Technician, you need a solid understanding of cardiac rhythms, patient monitoring protocols, and typically a certification such as Certified Rhythm Analysis Technician (CRAT) or Certified Cardiographic Technician (CCT). Familiarity with telemetry monitoring systems, electronic health records, and specialized telemetry software is essential. Strong attention to detail, effective communication, and the ability to stay alert during overnight shifts are crucial soft skills for this role. These competencies ensure accurate detection of cardiac events, timely communication with healthcare teams, and patient safety during non-traditional hours.

What are some common challenges faced by professionals working in overnight remote telemetry monitoring, and how can they be addressed?

One of the main challenges in overnight remote telemetry monitoring is staying alert and focused during long, quiet shifts when patient activity may be minimal. Managing fatigue is crucial, as missing subtle changes in patient data can have serious consequences. Professionals should establish a consistent sleep schedule, take scheduled breaks, and use techniques such as standing desks or light stretching to maintain alertness. Additionally, effective communication with the on-site clinical team is essential for reporting abnormalities promptly and ensuring seamless patient care.

What is the difference between Overnight Remote Telemetry Monitoring vs Remote Patient Monitoring Technicians?

AspectOvernight Remote Telemetry MonitoringRemote Patient Monitoring Technicians
CertificationsBasic ECG and telemetry monitoring certificationsMedical device and patient care certifications
Work EnvironmentMonitoring centers, hospital settings, remote shiftsPatient homes, clinics, remote or in-hospital settings
Industry UsageHospitals, cardiology clinics, telehealth servicesHome health agencies, telehealth providers, hospitals
Job FocusMonitoring cardiac rhythms overnightMonitoring patient vitals and device data remotely

Overnight Remote Telemetry Monitoring primarily involves overnight cardiac rhythm surveillance in monitoring centers, while Remote Patient Monitoring Technicians focus on broader patient data collection and device management, often in home settings. Both roles require technical certifications but differ in scope and environment.

What are popular job titles related to Overnight Remote Telemetry Monitoring jobs in Riverside, CA?

For Overnight Remote Telemetry Monitoring jobs in Riverside, CA, the most frequently searched job titles are:

What job categories do people searching Overnight Remote Telemetry Monitoring jobs in Riverside, CA look for?

The top searched job categories for Overnight Remote Telemetry Monitoring jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Overnight Remote Telemetry Monitoring jobs?

Cities near Riverside, CA with the most Overnight Remote Telemetry Monitoring job openings:

Overnight Remote Telemetry Monitoring jobs near you
Infographic showing various Overnight Remote Telemetry Monitoring job openings in Riverside, CA as of August 2026, with employment types broken down into 14% As Needed, 65% Full Time, and 21% Part Time. Highlights an 100% Remote job distribution, with an average salary of $48,366 per year, or $23.3 per hour.

Senior Datadog Architect & Implementation Engineer

iShare Inc

Redlands, CA • Remote

$70 - $75/hr

Part-time

Posted 6 days ago

Job description

Locations: India (Offshore) and United States (Onsite)
Compensation:


Role Overview
We are seeking a hands-on Senior Datadog Architect & Implementation Engineer to lead the Datadog implementation for a multi-account AWS observability rollout across Development, UAT, and Production environments.
The platform supports a portfolio of AI agent solutions built using Amazon Bedrock, Bedrock AgentCore, AWS Lambda, and Amazon ECS. This is an implementation-focused position—not an advisory or dashboard-only role.
The successful candidate will deliver a fully operational observability solution, including live dashboards, correctly configured alerts, centralized logs, metrics, distributed traces, and production-ready notification routing.
Key Responsibilities
  • Design and deploy an organization-wide Datadog AWS integration across Dev, UAT, and Prod environments.
  • Implement the integration using AWS CloudFormation StackSets, AWS Organizations, and secure cross-account IAM roles.
  • Build and maintain the CloudWatch Logs-to-Datadog pipeline using the Datadog Forwarder Lambda and CloudWatch subscription filters.
  • Configure Datadog AWS metrics polling across multiple AWS accounts.
  • Enable CloudWatch Transaction Search and configure the Datadog AWS X-Ray integration.
  • Ensure AgentCore trace and span data is visible and searchable within Datadog.
  • Implement distributed tracing and telemetry using AWS X-Ray and OpenTelemetry.
  • Create tag-driven dashboards organized by environment, AWS account, application, and AI solution.
  • Build dashboards for AI token consumption, platform usage, performance, reliability, and cost monitoring.
  • Define, configure, and tune Datadog monitors and alert thresholds.
  • Establish notification routing, escalation paths, and production-support procedures.
  • Troubleshoot issues involving missing logs, metrics, traces, permissions, tags, and cross-account integrations.
  • Work with security, cloud infrastructure, platform, and application teams to complete IAM and compliance reviews.
  • Provide production support and maintain the implemented Datadog platform.
Required Qualifications
  • Strong hands-on experience implementing Datadog in multi-account AWS environments.
  • Proven experience configuring Datadog AWS metrics polling.
  • Hands-on experience deploying and supporting the Datadog Forwarder Lambda.
  • Experience configuring CloudWatch Logs subscription filters and centralized log forwarding.
  • Strong knowledge of AWS Organizations and organization-wide cloud deployments.
  • Hands-on experience with CloudFormation and CloudFormation StackSets.
  • Strong understanding of cross-account IAM roles, trust policies, permissions, and security controls.
  • Experience with AWS X-Ray, OpenTelemetry, distributed tracing, metrics, logs, and spans.
  • Hands-on experience supporting AWS Lambda, Amazon ECS/Fargate, CloudWatch Logs, and CloudWatch Metrics.
  • Experience building production Datadog dashboards, monitors, alerts, and notification workflows.
  • Ability to implement solutions against an existing enterprise architecture.
  • Experience working through security, compliance, and IAM approval processes.
  • Strong troubleshooting, cross-team delivery, and production-support skills.
  • Excellent written and verbal communication skills.
Preferred Qualifications
  • Experience monitoring AI or generative AI solutions built with Amazon Bedrock or Bedrock AgentCore.
  • Experience creating token-usage and cost-monitoring dashboards for AI workloads.
  • Knowledge of Datadog tagging strategies and AWS tag taxonomies.
  • Datadog or AWS professional certifications.
  • Experience delivering observability solutions in regulated enterprise environments.
Expected Deliverables
By the end of the engagement, the engineer will be expected to deliver:
  • Working Datadog integrations across all required AWS accounts and environments.
  • Operational CloudWatch log-forwarding and metrics-polling pipelines.
  • Visible and searchable AgentCore traces and spans.
  • Live, tag-driven operational and cost dashboards.
  • Correctly firing and tuned monitors and alerts.
  • Production-ready notification routing and support documentation.
Important Candidate Requirement
Priority will be given to candidates who have personally designed and implemented Datadog across multiple AWS accounts.
Candidates whose experience is limited to using existing Datadog dashboards, reviewing logs, or managing monitors without implementing the underlying AWS integration, Forwarder Lambda, StackSets, cross-account IAM roles, and tracing pipeline will not be considered a strong match.

This is a remote position.