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Remote Infrastructure Security Engineer Jobs in Gilbert, AZ

ML Security Engineer

Tempe, AZ · Remote

$100K - $150K/yr

ML Security Engineer- Remote Bright Vision Technologies is a technology consulting and software ... Strong understanding of cloud security and modern infrastructure controls. * Excellent written and ...

Job Purpose The Application Security Engineer is responsible for strengthening the security of our applications, platforms, and development processes. This position partners with software engineers ...

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Remote Infrastructure Security Engineer information

See Gilbert, AZ salary details

$73.8K

$141.7K

$169.5K

How much do remote infrastructure security engineer jobs pay per year?

As of Jul 27, 2026, the average yearly pay for remote infrastructure security engineer in Gilbert, AZ is $141,679.00, according to ZipRecruiter salary data. Most workers in this role earn between $142,500.00 and $142,500.00 per year, depending on experience, location, and employer.

What is a Remote Infrastructure Security Engineer?

A Remote Infrastructure Security Engineer is a cybersecurity professional who is responsible for protecting an organization's IT infrastructure, such as servers, networks, and cloud services, from security threats. They work remotely, using specialized tools to monitor systems, detect vulnerabilities, and respond to incidents. Their duties often include implementing firewalls, managing access controls, and ensuring compliance with security standards. These engineers play a crucial role in maintaining the safety and integrity of digital assets while supporting teams from any location.

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

To thrive as a Remote Infrastructure Security Engineer, you need a solid background in cybersecurity, network architecture, and systems administration, often supported by a relevant degree and certifications like CISSP or CompTIA Security+. Familiarity with security tools such as firewalls, intrusion detection/prevention systems (IDS/IPS), SIEM solutions, and cloud security platforms is essential. Strong analytical thinking, effective communication, and the ability to work independently are standout soft skills in this role. These skills and qualifications are crucial to proactively protect organizational infrastructure, rapidly respond to threats, and ensure secure remote operations.

What is the difference between Remote Infrastructure Security Engineer vs Network Security Engineer?

AspectRemote Infrastructure Security EngineerNetwork Security Engineer
CertificationsCompTIA Security+, CISSP, CEHCompTIA Security+, CISSP, CCNP Security
Work EnvironmentCloud-based infrastructure, remote teamsOn-premises and cloud networks, often remote
Industry UsageTech, finance, healthcare, remote-first companiesTelecom, enterprise, government agencies
Common Search/ComparisonYesYes

The Remote Infrastructure Security Engineer focuses on securing cloud and remote infrastructure environments, while the Network Security Engineer specializes in protecting network hardware and on-premises or cloud networks. Both roles require similar certifications and often work remotely, but their primary focus areas differ, aligning with different aspects of cybersecurity infrastructure.

How does a Remote Infrastructure Security Engineer typically collaborate with other IT teams to ensure system security?

As a Remote Infrastructure Security Engineer, collaboration with various IT teams is integral to maintaining a secure environment. You'll often work closely with network administrators, system engineers, and DevOps teams to assess vulnerabilities, implement security controls, and respond to incidents. Regular virtual meetings, shared documentation platforms, and ticketing systems are commonly used to coordinate efforts and ensure everyone is aligned on security protocols. This collaborative approach helps proactively address risks and ensures compliance with organizational security standards.
What are popular job titles related to Remote Infrastructure Security Engineer jobs in Gilbert, AZ? For Remote Infrastructure Security Engineer jobs in Gilbert, AZ, the most frequently searched job titles are:
What job categories do people searching Remote Infrastructure Security Engineer jobs in Gilbert, AZ look for? The top searched job categories for Remote Infrastructure Security Engineer jobs in Gilbert, AZ are:
What cities near Gilbert, AZ are hiring for Remote Infrastructure Security Engineer jobs? Cities near Gilbert, AZ with the most Remote Infrastructure Security Engineer job openings:

$100K - $150K/yr

Full-time

Posted 6 days ago


Job description

ML Security Engineer- Remote 
 
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. 
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. 
 
Job Title: ML Security Engineer
Location: 100% Remote (U.S.) 
Position Type: Full-time, Direct W2 
Salary Range: $100,000–$150,000 Annually 
Experience Required: 6+ years 
 
Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. 
 
Job Summary 
We are seeking an AI Security Engineer to lead the design and implementation of security controls, threat models, and incident response capabilities specifically tailored to AI and machine learning systems. The role addresses the unique security challenges posed by LLMs, model APIs, training data pipelines, and AI-powered applications, including prompt injection, model abuse, data exfiltration, and supply chain risks. The ideal candidate has strong security engineering fundamentals and a deep understanding of how modern AI systems work in practice, with hands-on experience designing defenses for both AI-powered applications and the AI infrastructure that supports them. 
Key Responsibilities 
  • Define and implement security controls specifically targeting LLM and AI-powered application risks. 
  • Build threat models for AI systems, including prompt injection, jailbreaks, data exfiltration, and abuse patterns. 
  • Design and deploy guardrails, content filters, and policy enforcement layers around model endpoints. 
  • Implement runtime detection and response capabilities for adversarial prompts and abusive behavior. 
  • Secure training and fine-tuning pipelines, including data provenance, integrity, and access controls. 
  • Design controls for sensitive data handling, retention, and redaction in LLM workflows. 
  • Lead red-team exercises against AI systems and drive remediation of identified weaknesses. 
  • Evaluate and harden third-party AI services and open-source AI components used internally. 
  • Implement identity, authorization, and tenant-isolation patterns for multi-tenant AI services. 
  • Drive supply chain security for ML artifacts including weights, datasets, and inference dependencies. 
  • Collaborate with privacy, legal, and compliance teams to ensure AI systems meet regulatory obligations. 
  • Develop monitoring, logging, and detection strategies tailored to AI workloads. 
  • Lead incident response for AI-specific security events and drive durable improvements. 
  • Stay current with adversarial ML, LLM security research, and emerging regulatory developments. 
Required Qualifications 
  • Bachelor’s or Master’s degree in Computer Science, Cybersecurity, or a related discipline. 
  • Six or more years of security engineering experience, including significant work on AI or ML systems. 
  • Strong understanding of LLM internals, modern AI architectures, and common failure modes. 
  • Hands-on experience designing security controls for AI-powered applications. 
  • Deep knowledge of application security, identity, and cryptography fundamentals. 
  • Experience with threat modeling and security architecture review processes. 
  • Familiarity with adversarial ML, prompt injection, and model abuse research. 
  • Proficiency in Python and at least one systems language. 
  • Strong understanding of cloud security and modern infrastructure controls. 
  • Excellent written and verbal communication skills. 
Preferred Qualifications 
  • Publications, talks, or CTF participation in AI security topics. 
  • Experience with red-teaming LLM-based products. 
  • Familiarity with privacy-preserving ML techniques such as differential privacy. 
  • Exposure to regulated industries with strict data handling requirements. 
  • Open-source contributions to AI security tooling
How to Apply 
Would you like to know more about this opportunity? For immediate consideration, please send your resume to Jenny@bvteck.com or contact us at (908) 505-3544. Learn more about Bright Vision Technologies at www.bvteck.com.
Bright Vision Technologies is an Equal Opportunity Employer. 
 

Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees\' ability to perform their job duties may result in disciplinary action up to and including termination of employment.