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Remote Telemetry Tech Jobs in Colorado (NOW HIRING)

Cisco

Director, Engineering - SPIE (Remote)

Boulder, CO · Remote

$230K - $325K/yr

We provide services for producing and consuming logs, metrics, and telemetry as well as leading our ... Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions.

Zayo Group LLC

Senior Network Automation Engineer

Boulder, CO · Remote

$107K - $147K/yr

This position is remote and can be based anywhere in the US or Canada** Responsibilities: Alarming ... Integrate telemetry data collection into automation workflows. Monitoring and Observability ...

Trimble

Enterprise Support Engineer

Westminster, CO · On-site +1

$108K - $134K/yr

Hybrid (4 days in office/1 day remote) Travel Requirement : 10% Why You'll Love Working With Us At ... Construction Technology, Enterprise Support, SaaS, SQL Database, Telemetry, Customer Success ...

Trimble

Enterprise Support Engineer

Westminster, CO · On-site +1

$108K - $134K/yr

Hybrid (4 days in office/1 day remote) Travel Requirement : 10% Why You'll Love Working With Us At ... Technology, Enterprise Support, SaaS, SQL Database, Telemetry, Customer Success Engineer.

Trimble

Enterprise Support Engineer

Westminster, CO · On-site +1

$108K - $134K/yr

Hybrid (4 days in office/1 day remote) Travel Requirement : 10% Why You'll Love Working With Us At ... Technology, Enterprise Support, SaaS, SQL Database, Telemetry, Customer Success Engineer.

KORE1 Technologies

Head of Data Platform

Denver, CO · Remote

... remote. Why This Role Exists We operate a large-scale, multi-tenant SaaS platform supporting ... Support low-latency feature materialization and telemetry processing across distributed services.

DigitalOcean

Staff Network Security Engineer

Denver, CO · Remote

$168K - $211K/yr

Collaborate with network engineers to integrate security controls and telemetry within SDN, BGP ... This is a remote role JR: 2026-8009 #LI-Remote Why You'll Like Working for DigitalOcean * We ...

All JobsRemote Telemetry Tech JobsRemote Telemetry Tech Jobs in Colorado

Remote Telemetry Tech information

How much do telemetry techs make a year?

Telemetry technicians typically earn an average annual salary ranging from $40,000 to $60,000, depending on experience, location, and certifications. They often work in healthcare or medical device environments, using specialized equipment to monitor patient data remotely.

How to make $1000 a week remote?

A remote telemetry technician can earn $1000 or more weekly by working full-time hours, often 40 hours or more, and gaining specialized skills such as medical device monitoring or data analysis. Increasing income may involve obtaining relevant certifications, gaining experience, and working for multiple employers or on freelance projects to maximize earnings.

How can I make $100,000 a year working from home?

A remote telemetry technician can potentially earn $100,000 annually by gaining specialized certifications, developing advanced technical skills, and working for companies that offer high-paying remote roles. Increasing experience, taking on additional responsibilities, and working in industries with higher pay scales can also help reach this income level.

What are Remote Telemetry Techs?

Remote Telemetry Techs are healthcare professionals who monitor patients' vital signs and cardiac rhythms from a distance, typically using specialized telemetry equipment. They play a crucial role in identifying abnormal heart patterns and alerting medical staff to potential emergencies. Working remotely allows these techs to support hospitals and clinics by providing continuous, real-time monitoring of patients, often from a centralized or off-site location. Their expertise helps ensure patient safety and timely interventions, especially for those with cardiac conditions.

What are some common challenges faced by Remote Telemetry Techs, and how can they be addressed?

Remote Telemetry Techs often encounter challenges like managing multiple patient data streams simultaneously and quickly identifying abnormal readings from a distance. Effective communication with on-site clinical teams is also crucial, as techs must relay urgent information promptly and accurately. To address these challenges, it is important to stay organized, regularly update monitoring protocols, and participate in ongoing training to stay current with technological advancements. Building strong relationships with hospital staff can further enhance collaboration and patient care.

How can I make $2000 a week working from home?

A remote telemetry technician can potentially earn $2000 a week by working full-time hours, often requiring specialized skills in medical or industrial monitoring systems, certifications, and experience. Increasing income may involve taking on multiple shifts, gaining advanced certifications, or working for high-paying organizations that offer overtime or premium pay rates.

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

To thrive as a Remote Telemetry Tech, you need a thorough understanding of cardiac rhythms, EKG interpretation, and patient monitoring, often backed by certification such as CCT or CRAT. Familiarity with telemetry monitoring systems, electronic health records, and communication platforms is vital for daily operations. Attention to detail, strong communication skills, and the ability to stay focused during long shifts distinguish top performers. These competencies ensure accurate patient monitoring, timely identification of critical changes, and effective collaboration with healthcare teams.
What are the most commonly searched types of Telemetry Tech jobs in Colorado? The most popular types of Telemetry Tech jobs in Colorado are:
What are popular job titles related to Remote Telemetry Tech jobs in Colorado? For Remote Telemetry Tech jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Remote Telemetry Tech jobs in Colorado look for? The top searched job categories for Remote Telemetry Tech jobs in Colorado are:
What cities in Colorado are hiring for Remote Telemetry Tech jobs? Cities in Colorado with the most Remote Telemetry Tech job openings:
Remote Telemetry Tech jobs near you
Infographic showing various Remote Telemetry Tech job openings in Colorado as of June 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 100% Remote job distribution.

AI Security Engineer

AspenView Technology Partners, Inc.

Denver, CO • On-site, Remote

Contractor

Posted 8 days ago

Key responsibilities

  • Define and implement secure architecture patterns and controls for AI and machine learning solutions across the enterprise.

  • Identify, assess, and mitigate AI-specific security threats and establish guardrails to protect models, data, and workflows.

  • Collaborate with cross-functional teams to operationalize AI security monitoring, enable secure AI adoption, and contribute to AI security policies and standards.

Job description

Build the Future with AspenView Technology Partners
At AspenView, we are passionate about transforming the way organizations approach technology. We specialize in creating high-performing, nearshore IT teams to help North American clients innovate faster and more efficiently. As we continue to grow, we're looking for exceptional people to join our team and help drive impactful change across industries.
Why Join AspenView?
At AspenView, we're more than a nearshore IT partner-we're a people-first, purpose-driven company that believes great culture drives great outcomes. We're passionate about connecting talent and technology to deliver measurable value for clients-and meaningful career paths for our people.
Here's what you can expect:
  • Competitive base
  • Comprehensive benefits and wellness support
  • Flexible work model: hybrid, remote, or in-office
  • Real growth opportunities and leadership visibility
  • Inclusive, respectful culture that blends U.S. innovation with Colombian heart
  • A company that listens, invests in you, and celebrates wins together

About the role
Establish and operationalize security controls for emerging Artificial Intelligence and Machine Learning capabilities across the enterprise. This role is responsible for embedding security into AI solution design, protecting AI models and data pipelines, and enabling secure adoption of AI use cases across business and technology functions.
The role works closely with Digital, Data, AI, Security Architecture, Engineering, and Cyber Defense Operations teams to define secure AI architecture patterns, implement guardrails, and ensure AI platforms operate within client's cybersecurity, risk, and governance standards. The ideal candidate combines strong cybersecurity engineering capability with practical knowledge of AI platforms, model risks, and enterprise technology integration.
What you will do:
AI Security Architecture & Engineering
  • Define secure architecture patterns for AI and machine learning solutions, ensuring protection of models, training pipelines, inference environments, and supporting data flows.
  • Establish secure integration patterns for AI services across enterprise applications, APIs, cloud platforms, and data environments.
  • Review AI solution designs to ensure alignment with enterprise security architecture standards and secure-by-design principles.
  • Support implementation of secure controls across AI development, testing, deployment, and production environments.

AI Risk Management & Security Controls
  • Identify, assess, and mitigate AI-specific threats including model poisoning, prompt injection, adversarial attacks, unauthorized model access, data leakage, and misuse of AI outputs.
  • Define and implement security guardrails for AI model access, API usage, prompt controls, and secure interaction with enterprise data sources.
  • Establish controls to protect sensitive training data, embeddings, prompts, and inference outputs across AI workflows.
  • Support validation of third-party AI services and external model integrations from a cybersecurity risk perspective.

Governance, Standards & Responsible AI Enablement
  • Establish AI security standards, engineering guardrails, and governance practices aligned with regulatory requirements, enterprise risk expectations, and responsible AI principles.
  • Partner with Digital and AI teams to enable secure AI use cases where security accelerates responsible business adoption rather than acts as a blocker.
  • Support creation of AI security review checkpoints for new AI initiatives, pilots, and production deployments.
  • Contribute to enterprise AI security policies, reference architectures, and operational standards.

Operational Security & Monitoring
  • Collaborate with Cyber Defense Operations to operationalize AI-related detection, monitoring, and response capabilities.
  • Support development of monitoring use cases for AI misuse, abnormal model behavior, unauthorized access, and suspicious data movement.
  • Define logging and telemetry requirements for AI platforms to improve visibility and incident readiness.
  • Support integration of AI platform telemetry into enterprise detection and monitoring tools where applicable.

Cross-Functional Collaboration
  • Work closely with Security Architecture, Cloud Engineering, Data teams, Application teams, and AI program owners to ensure consistent security adoption.
  • Support security reviews for AI vendors, AI-enabled SaaS platforms, and internally developed AI capabilities.
  • Provide technical guidance to project teams on secure AI implementation and operational controls.

What you bring:
  • 5-8 years of cybersecurity engineering or security architecture experience, with exposure to cloud security, data protection, or application security.
  • Experience working with enterprise AI, machine learning, analytics platforms, or datadriven technology environments.
  • Practical understanding of AI/ML deployment patterns, APIs, model lifecycle, and enterprise data integration.
  • Experience with Microsoft Azure AI services, OpenAI integrations, Databricks, or enterprise AI platforms preferred.
  • Familiarity with emerging AI governance frameworks and responsible AI standards.
  • Experience with Secure AI controls embedded into enterprise AI initiatives without slowing adoption.
  • Clear visibility into AI-related cyber risks and mitigation actions and ability to translate emerging AI risks into practical engineering controls.
  • Practical AI guardrails established for data, model access, and operational use.
  • Strong alignment between AI innovation, enterprise security, and regulatory expectations.
  • Security certifications such as CISSP, CCSP, or cloud security certifications preferred.

Security Engineering Skills:
  • Strong understanding of cybersecurity controls across cloud, applications, APIs, identity, and data protection.
  • Familiarity with AI/ML risks including prompt injection, model abuse, data leakage, and adversarial techniques.
  • Knowledge of secure architecture principles for modern digital and AI platforms.

AspenView does not sponsor employment visas for this role. Applicants must be currently authorized to work in the United States on a permanent basis without the need for visa sponsorship now or in the future.
Equal Opportunity Employer:
AspenView is proud to be an equal opportunity employer. We believe in creating an environment where all employees feel welcome, valued, and empowered to succeed. We celebrate diversity and strive to build a culture of inclusion where all individuals, regardless of their race, color, gender, gender identity or expression, sexual orientation, disability, age, or any other characteristic, can thrive. We encourage applicants from all walks of life to join our team and make a lasting impact.

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