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Remote Azure Security Engineer 500 Jobs in Arizona

Bright Vision Technologies

ML Security Engineer

Tempe, AZ · Remote

$100K - $150K/yr

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 ...

EnerSys

Application Security Engineer (REMOTE)

Phoenix, AZ · Remote

$117K - $146K/yr

Job Purpose The Application Security Engineer is responsible for strengthening the security of our ... Practical experience securing cloud environments (AWS or Azure) and implementing cloud-native ...

InterSources

GCP Cloud Engineer

Phoenix, AZ · Remote

$55.25 - $74/hr

Phoenix, AZ (Remote) Duration: Long-Term Job Requirements: * Working knowledge of cloud ... Experience with Azure security solutions # Defender, Sentinel Mandatory skills: About Us:

Achieve

Principal Security Engineer - Temporary

Tempe, AZ · On-site +1

Azure AD/Entra, Okta, Ping Identity, ADFS * IGA (Identity Governance and Administration): SailPoint ... We are strategically growing our teams with more remote, work-from-home opportunities every day to ...

Accenture

Manager, Security Operations (Sentinel)

Phoenix, AZ · On-site +1

$150K - $178K/yr

... engineering, incident response, and continuous improvement using Microsoft Sentinel as the primary ... Microsoft 365 Security Azure security services Zero Trust principles Compensation at Avanade varies ...

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All JobsAzure Security Engineer 500 JobsRemote Azure Security Engineer 500 JobsRemote Azure Security Engineer 500 Jobs in Arizona

Remote Azure Security Engineer 500 information

What does a Remote Azure Security Engineer do?

A Remote Azure Security Engineer is responsible for designing, implementing, and maintaining security solutions within Microsoft Azure cloud environments, all while working remotely. They manage security configurations, monitor for threats, respond to incidents, and ensure compliance with security standards. Their work helps protect sensitive data, applications, and cloud infrastructure from cyber threats. Additionally, they often collaborate with IT and development teams to integrate security best practices into cloud-based systems.

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

To thrive as a Remote Azure Security Engineer, you need expertise in cloud security concepts, Azure platform services, and identity and access management, typically supported by a degree in computer science or IT and certifications like Microsoft Certified: Azure Security Engineer Associate. Familiarity with tools such as Azure Security Center, Azure Sentinel, and scripting languages like PowerShell is essential. Strong problem-solving, analytical thinking, and effective remote communication are crucial soft skills in this role. These competencies ensure the secure design, implementation, and monitoring of cloud environments, protecting organizational assets and data from evolving threats.

What is the difference between Remote Azure Security Engineer 500 vs Remote Cloud Security Engineer?

AspectRemote Azure Security Engineer 500Remote Cloud Security Engineer
CertificationsAzure Security Engineer Associate, Microsoft CertifiedVaries; often includes CISSP, CompTIA Security+
Work EnvironmentPrimarily Azure cloud platform, Microsoft ecosystemMultiple cloud platforms, including AWS, Azure, GCP
Industry UsageOrganizations using Microsoft AzureOrganizations with multi-cloud or cloud-agnostic strategies
Search & Comparison IntentFocus on Azure-specific security rolesBroader cloud security roles across platforms

The Remote Azure Security Engineer 500 specializes in securing Microsoft Azure environments, requiring Azure-specific certifications and skills. In contrast, the Remote Cloud Security Engineer covers security across multiple cloud platforms, often with broader certifications. The choice depends on whether you focus on Azure or a multi-cloud approach.

What are some common challenges faced by Remote Azure Security Engineers, and how can they be addressed?

Remote Azure Security Engineers often encounter challenges such as coordinating with distributed teams, staying updated with evolving security threats, and ensuring consistent implementation of security policies across cloud environments. To address these, strong communication skills, regular participation in virtual meetings, and leveraging collaboration tools are essential. Additionally, keeping up with Microsoft’s security updates and participating in ongoing training can help engineers stay proactive and effective in their roles.
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What job categories do people searching Remote Azure Security Engineer 500 jobs in Arizona look for? The top searched job categories for Remote Azure Security Engineer 500 jobs in Arizona are:
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Remote Azure Security Engineer 500 jobs near you

ML Security Engineer

Bright Vision Technologies

Tempe, AZ • Remote

$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.

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