ZipRecruiter

Log In

2

Remote Cloud Security Engineer Jobs in Arizona (NOW HIRING)

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 ...

Virtuous Software

Senior DevSecOps Engineer

Phoenix, AZ · On-site +1

$113K - $155K/yr

You'll improve the security of our products and cloud environment by reducing security debt ... We're looking for an engineer who is naturally curious, challenges conventional approaches, and ...

New

Kyndryl

Mainframe Logical Security Engineer

Phoenix, AZ · On-site +1

The Role We are seeking a skilled Mainframe Logical Security Engineer to design, implement, and ... We have opportunities for Cloud Hyperscalers that you won't find anywhere else, including hands-on ...

next page

Showing results 1-20

All JobsCloud Security Engineer JobsRemote Cloud Security Engineer JobsRemote Cloud Security Engineer Jobs in Arizona

Remote Cloud Security Engineer information

See Arizona salary details

$21

$58

$81

How much do remote cloud security engineer jobs pay per hour?

As of Jul 31, 2026, the average hourly pay for remote cloud security engineer in Arizona is $58.60, according to ZipRecruiter salary data. Most workers in this role earn between $49.95 and $66.78 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Remote Cloud Security Engineer position, and why are they important?

To thrive as a Remote Cloud Security Engineer, you need strong expertise in cloud computing security, network architecture, risk analysis, and hands-on experience with AWS, Azure, or Google Cloud platforms, typically supported by a degree in computer science or a related field. Familiarity with tools like Terraform, security monitoring solutions, and certifications such as AWS Certified Security–Specialty or CISSP is highly valued. Exceptional problem-solving, self-motivation, and clear communication skills are important for remote collaboration and proactive threat management. These abilities ensure robust security postures, efficient incident response, and effective teamwork in distributed environments.

What is a Remote Cloud Security Engineer job?

A Remote Cloud Security Engineer is responsible for designing, implementing, and maintaining security measures to protect cloud-based systems and data from cyber threats. They work remotely to assess vulnerabilities, enforce security policies, and ensure compliance with industry standards. Their role often involves collaboration with IT teams to develop secure cloud architectures, monitor for security breaches, and respond to incidents. Strong knowledge of cloud platforms like AWS, Azure, or Google Cloud, as well as expertise in encryption, access control, and threat detection, are essential for this role.

What are some typical challenges Remote Cloud Security Engineers face, and how can they overcome them?

Remote Cloud Security Engineers often face challenges such as staying up to date with rapidly evolving cloud technologies, addressing complex security threats across multiple environments, and maintaining clear communication within distributed teams. To overcome these, professionals rely on continuous learning, leveraging automation tools, and participating in regular cross-team meetings or security reviews. Setting up robust monitoring and incident response processes also helps manage risks more effectively. Collaboration with colleagues across infrastructure, development, and compliance teams is crucial for maintaining a secure and resilient cloud environment.

What are the most commonly searched types of Cloud Security Engineer jobs in Arizona? The most popular types of Cloud Security Engineer jobs in Arizona are:
What are popular job titles related to Remote Cloud Security Engineer jobs in Arizona? For Remote Cloud Security Engineer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Remote Cloud Security Engineer jobs in Arizona look for? The top searched job categories for Remote Cloud Security Engineer jobs in Arizona are:
What cities in Arizona are hiring for Remote Cloud Security Engineer jobs? Cities in Arizona with the most Remote Cloud Security Engineer job openings:
Remote Cloud Security Engineer jobs near you
Infographic showing various Remote Cloud Security Engineer job openings in Arizona as of July 2026, with employment types broken down into 93% Full Time, 3% Part Time, and 4% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $121,893 per year, or $58.6 per hour.

ML Security Engineer

Bright Vision Technologies

Scottsdale, AZ • Remote

$100K - $150K/yr

Full-time

Posted 5 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.

Apply