Remote Cloud Security Engineer Jobs
Remote cloud security engineer jobs are open across the U.S. at remote-first firms, distributed engineering teams, and companies in sectors like financial services, healthcare technology, and cloud-native software. Employers hiring remotely right now include Ahead, Qualia, and Iterable. Find a role that fits below and apply directly.
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Job Description
Position: Application Security Engineer (AI Governance & Cloud Security)
Reports To: Director, IT, Info Security and Compliance
Job Overview
Reveal is hiring an Application Security Engineer to secure how we build software and how we adopt AI. This role sits at the point where three things meet: the security of the code and services we ship, the governance of the AI agents and models we put into production, and the posture of the cloud they all run on.
You will own the tooling that makes that possible — Onyx Security as the control plane for AI agents and models, and Wiz across our cloud accounts and repositories — and you will be the person engineering teams come to when a design, a pipeline or a new AI tool needs a security opinion. The work is hands-on: threat modeling, code review, remediation alongside the teams that own the fix, and the policy and reporting that lets leadership and auditors see where we stand.
This role follows a hybrid model (4 days in office, 1 day work from home) for candidates residing in Illinois. Candidates based outside of Illinois may be considered for a remote work arrangement.
Responsibilities & Duties
- Application security: Run threat modeling and secure design reviews for new features, services and integrations.
- Application security: Perform manual code review and triage findings from SAST, DAST, SCA and secrets scanning.
- Application security: Embed security checks into CI/CD pipelines without slowing delivery.
- Application security: Lead remediation with engineering teams and track findings to closure against SLAs.
- Application security: Support penetration tests, bug reports and customer security questionnaires.
- AI governance: Own the Onyx Security platform as the control plane for AI agents and models across SaaS, cloud, endpoints and code.
- AI governance: Use Onyx AI Observability to discover sanctioned and shadow AI, and review prompts, responses and agent actions.
- AI governance: Write and enforce natural-language governance policies and real-time guardrails in Onyx.
- AI governance: Manage agent permissions and secure MCP server connections to prevent over-privileged access.
- AI governance: Detect and respond to prompt injection, data exfiltration and AI misuse, and tune Onyx Guardian Agent remediation.
- AI governance: Maintain the AI acceptable-use policy, AI inventory and risk assessments with GRC, mapped to NIST AI RMF and ISO/IEC 42001.
- AI governance: Evaluate new AI tools, agents and vendors before adoption, and report AI adoption and risk metrics to leadership.
- Cloud and code security: Own Wiz configuration, integrations, policies and alert routing across cloud accounts.
- Cloud and code security: Triage Wiz Issues and toxic combinations, and drive fixes for misconfigurations, vulnerabilities and exposed secrets.
- Cloud and code security: Use Wiz Code and IaC scanning to catch risk in repositories and Terraform before deployment.
- Cloud and code security: Use Wiz AI Security Posture Management (AI-SPM) to inventory AI services and models running in the cloud.
- Cloud and code security: Build reports and dashboards on cloud risk trends for Security leadership and audits.
- Perform other duties and responsibilities as assigned to support team, department, and organizational goals.
Characteristics
- Breadth across domains: comfortable moving between application security, AI governance and cloud posture rather than specialising in only one.
- Investigative mindset: naturally curious, and inclined to dig into an alert or a finding until the underlying cause is understood.
- Proactive problem solver: anticipates security issues at design time rather than discovering them at deployment.
- Autonomous and collaborative: takes ownership of the role and works effectively with distributed engineering teams.
- Clear communicator: can explain the same risk to an engineer, to leadership and to an auditor, and be understood by all three.
Education & Experience
- 4+ years in application security, product security or security engineering.
- Solid grasp of OWASP Top 10, OWASP Top 10 for LLM Applications and agentic AI risks, including Model Context Protocol (MCP) security.
- Ability to read and review code in at least one of Python, JavaScript/TypeScript, Java or C#.
- Experience securing AWS, Azure or GCP workloads, containers and Kubernetes.
- Familiarity with CI/CD tooling (GitHub Actions, GitLab CI or Azure DevOps) and infrastructure as code.
- Clear written communication for engineers, leadership and auditors.
Preferred Experience
- Experience building an AI governance program: AI inventory, model risk reviews, acceptable-use policy.
- Hands-on experience with Wiz, including policy tuning, Issue triage and integrations (Jira, Slack, SIEM).
- Hands-on experience with Onyx Security or a comparable AI security and governance platform, including AI discovery, guardrails and agent permissions.
- Knowledge of NIST AI RMF, ISO/IEC 42001 and the EU AI Act.
- Experience supporting SOC 2, ISO 27001 or FedRAMP audits.
- Background in legal tech, eDiscovery or other environments handling sensitive client data.
- Scripting for automation (Python, Bash, Ruby) and experience with the Wiz API.
- Certifications such as OSWE, GWAPT, CSSLP, CCSP or AWS Security Specialty, or the Wiz certifications.
Benefits and Perks include but are not limited to:
- 401k match program
- Comprehensive health benefits (Medical, Dental, Vision, and HSA/FSA)
- Group Term Life Insurance and Voluntary Life Insurance option
- Paid holidays
- Paid vacation, sick, and personal days
- FSA dependent care benefit
- Childbirth recovery and bonding leave policies
- Short and long-term disability benefits
- Access to onsite gym and recreational area at our Chicago office
- Friendly, collaborative, in-office work environment with ample opportunity for professional development.
For Illinois-based roles, the budgeted annual salary range is $ 136,000 to $ 160,000. Compensation for this role will depend on a number of factors, including a candidate's qualifications, skills, competencies, and experience, and may fall outside of the range shown. Reveal offers a competitive total rewards package, which includes the Benefits and Perks set forth above.
This job description reflects the present requirements of the position. As duties and responsibilities change and develop, the job description will be reviewed and subject to amendment.
Hiring Policy
Reveal is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Reveal does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.
Reveal considers candidates with existing visas but does not sponsor new visa applications.
Job Description
Position: Application Security Engineer (AI Governance & Cloud Security)
Reports To: Director, IT, Info Security and Compliance
Job Overview
Reveal is hiring an Application Security Engineer to secure how we build software and how we adopt AI. This role sits at the point where three things meet: the security of the code and services we ship, the governance of the AI agents and models we put into production, and the posture of the cloud they all run on.
You will own the tooling that makes that possible — Onyx Security as the control plane for AI agents and models, and Wiz across our cloud accounts and repositories — and you will be the person engineering teams come to when a design, a pipeline or a new AI tool needs a security opinion. The work is hands-on: threat modeling, code review, remediation alongside the teams that own the fix, and the policy and reporting that lets leadership and auditors see where we stand.
This role follows a hybrid model (4 days in office, 1 day work from home) for candidates residing in Illinois. Candidates based outside of Illinois may be considered for a remote work arrangement.
Responsibilities & Duties
- Application security: Run threat modeling and secure design reviews for new features, services and integrations.
- Application security: Perform manual code review and triage findings from SAST, DAST, SCA and secrets scanning.
- Application security: Embed security checks into CI/CD pipelines without slowing delivery.
- Application security: Lead remediation with engineering teams and track findings to closure against SLAs.
- Application security: Support penetration tests, bug reports and customer security questionnaires.
- AI governance: Own the Onyx Security platform as the control plane for AI agents and models across SaaS, cloud, endpoints and code.
- AI governance: Use Onyx AI Observability to discover sanctioned and shadow AI, and review prompts, responses and agent actions.
- AI governance: Write and enforce natural-language governance policies and real-time guardrails in Onyx.
- AI governance: Manage agent permissions and secure MCP server connections to prevent over-privileged access.
- AI governance: Detect and respond to prompt injection, data exfiltration and AI misuse, and tune Onyx Guardian Agent remediation.
- AI governance: Maintain the AI acceptable-use policy, AI inventory and risk assessments with GRC, mapped to NIST AI RMF and ISO/IEC 42001.
- AI governance: Evaluate new AI tools, agents and vendors before adoption, and report AI adoption and risk metrics to leadership.
- Cloud and code security: Own Wiz configuration, integrations, policies and alert routing across cloud accounts.
- Cloud and code security: Triage Wiz Issues and toxic combinations, and drive fixes for misconfigurations, vulnerabilities and exposed secrets.
- Cloud and code security: Use Wiz Code and IaC scanning to catch risk in repositories and Terraform before deployment.
- Cloud and code security: Use Wiz AI Security Posture Management (AI-SPM) to inventory AI services and models running in the cloud.
- Cloud and code security: Build reports and dashboards on cloud risk trends for Security leadership and audits.
- Perform other duties and responsibilities as assigned to support team, department, and organizational goals.
Characteristics
- Breadth across domains: comfortable moving between application security, AI governance and cloud posture rather than specialising in only one.
- Investigative mindset: naturally curious, and inclined to dig into an alert or a finding until the underlying cause is understood.
- Proactive problem solver: anticipates security issues at design time rather than discovering them at deployment.
- Autonomous and collaborative: takes ownership of the role and works effectively with distributed engineering teams.
- Clear communicator: can explain the same risk to an engineer, to leadership and to an auditor, and be understood by all three.
Education & Experience
- 4+ years in application security, product security or security engineering.
- Solid grasp of OWASP Top 10, OWASP Top 10 for LLM Applications and agentic AI risks, including Model Context Protocol (MCP) security.
- Ability to read and review code in at least one of Python, JavaScript/TypeScript, Java or C#.
- Experience securing AWS, Azure or GCP workloads, containers and Kubernetes.
- Familiarity with CI/CD tooling (GitHub Actions, GitLab CI or Azure DevOps) and infrastructure as code.
- Clear written communication for engineers, leadership and auditors.
Preferred Experience
- Experience building an AI governance program: AI inventory, model risk reviews, acceptable-use policy.
- Hands-on experience with Wiz, including policy tuning, Issue triage and integrations (Jira, Slack, SIEM).
- Hands-on experience with Onyx Security or a comparable AI security and governance platform, including AI discovery, guardrails and agent permissions.
- Knowledge of NIST AI RMF, ISO/IEC 42001 and the EU AI Act.
- Experience supporting SOC 2, ISO 27001 or FedRAMP audits.
- Background in legal tech, eDiscovery or other environments handling sensitive client data.
- Scripting for automation (Python, Bash, Ruby) and experience with the Wiz API.
- Certifications such as OSWE, GWAPT, CSSLP, CCSP or AWS Security Specialty, or the Wiz certifications.
Benefits and Perks include but are not limited to:
- 401k match program
- Comprehensive health benefits (Medical, Dental, Vision, and HSA/FSA)
- Group Term Life Insurance and Voluntary Life Insurance option
- Paid holidays
- Paid vacation, sick, and personal days
- FSA dependent care benefit
- Childbirth recovery and bonding leave policies
- Short and long-term disability benefits
- Access to onsite gym and recreational area at our Chicago office
- Friendly, collaborative, in-office work environment with ample opportunity for professional development.
For Illinois-based roles, the budgeted annual salary range is $ 136,000 to $ 160,000. Compensation for this role will depend on a number of factors, including a candidate's qualifications, skills, competencies, and experience, and may fall outside of the range shown. Reveal offers a competitive total rewards package, which includes the Benefits and Perks set forth above.
This job description reflects the present requirements of the position. As duties and responsibilities change and develop, the job description will be reviewed and subject to amendment.
Hiring Policy
Reveal is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Reveal does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.
Reveal considers candidates with existing visas but does not sponsor new visa applications.
See All 57 Remote Cloud Security Engineer Jobs
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Find JobsRemote Cloud Security Engineer Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software
- Insurance
- Banking & Financial Services
What Employers Look For
The qualifications that appear most often in remote cloud security engineer jobs.
- Hands-on experience securing AWS, Azure, or Google Cloud Platform environments
- Proficiency with cloud-native security tools such as CSPM, SIEM, and IAM platforms
- Relevant certification such as CCSP, AWS Security Specialty, or CISSP
- Experience implementing or auditing compliance frameworks including SOC 2, FedRAMP, or HIPAA
- Ability to write infrastructure-as-code and automate security controls using scripting languages
- Bachelor's degree in computer science, information security, or a related technical discipline
Tips for Your Remote Cloud Security Engineer Job Search
Apply early to remote roles that fit
Migrate Mate lists remote cloud security engineer openings from across the U.S. in one place. Search by the skills and cloud platforms you know, find roles that match your background, and apply directly before postings fill.
Show your async security documentation skills
Remote cloud security engineers communicate findings, incidents, and architecture recommendations in writing, not in hallway conversations. Include writing samples in your application: runbooks, incident post-mortems, or threat model write-ups that show you can convey complex security context clearly without a meeting.
Build a visible cloud security lab portfolio
Remote hiring managers can't watch you work, so they rely on evidence. Set up public cloud environments, run vulnerability assessments, and document your detection engineering or IAM configurations in a GitHub repository or a written case study. Concrete, reproducible work replaces the trust that office presence would otherwise build.
Target remote interviews with cloud-native scenarios
Remote cloud security interviews lean heavily on scenario-based questions: how you'd respond to a misconfigured S3 bucket, how you'd design a zero-trust network in AWS, or how you'd triage a SIEM alert at 2 a.m. without escalation. Prepare structured, written answers and practice walking through your reasoning aloud on video.
Remote Cloud Security Engineer Jobs: Frequently Asked Questions
How do I get a remote cloud security engineer job?
Remote cloud security engineer roles go to candidates who can demonstrate both technical depth and the ability to work without in-person oversight. Remote employers screen for cloud platform expertise (AWS, Azure, or GCP), hands-on experience with IAM, SIEM tools, and infrastructure-as-code security, and strong written communication for async collaboration. Certifications like CCSP or AWS Security Specialty strengthen your profile, and a portfolio of real cloud security work closes the gap faster than credentials alone.
Which companies hire remote cloud security engineers?
Remote cloud security engineer roles are posted by Ahead, Qualia, and Iterable and others right now, based on current remote listings on Migrate Mate as of November 2026. Remote-first firms, cloud-native software companies, and distributed teams in financial services and healthcare technology are among the most consistent hirers of this role.
Can you get a remote cloud security engineer job with no experience?
Yes, but remote entry-level cloud security roles are harder to land because employers expect you to operate independently from day one with minimal hand-holding. Cloud-native startups and managed security service providers are more likely to take a chance on early-career candidates. What opens the door is demonstrable hands-on work: home lab projects, cloud security certifications, and contributions to open-source security tooling all signal that you can self-direct in a remote environment.
Do you need a degree for remote cloud security engineer jobs?
Not always. Remote cloud security employers weigh practical skills, certifications, and verifiable work over a degree more than many other tech disciplines do, because the role is defined by what you can secure and detect, not where you studied. Certifications like CompTIA Security+, CCSP, or AWS Security Specialty, combined with evidence of real cloud security work, carry significant weight when a degree is absent.
Which industries hire the most remote cloud security engineers?
Most remote cloud security engineer openings sit in Technology & Software, Insurance, and Banking & Financial Services, per current remote listings on Migrate Mate as of November 2026. Those sectors hire cloud security engineers remotely because their distributed teams need security expertise embedded across infrastructure that is entirely cloud-based and geographically spread.
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Find roles that match your experience and apply in just a few clicks.
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