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У роли понятная зона ответственности, конкретные задачи по ключевым направлениям безопасности и актуальная специализация на AI; зарплата оценивается отдельно.
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Понятные задачи
Современные технологии
Защита AI-систем
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Security Engineer (AI): Building and operating security controls across cloud infrastructure, applications, workforce access, and AI tools with an accent on cloud security, vulnerability management, IAM, incident response, and secure development. Focus on assessing AI-agent risks, automating security workflows, improving detection and remediation, and driving secure engineering practices across teams.
Location: Chicago, IL (Hybrid)
Base salary: $110,000–$120,000 annually
Company
hirify.global provides a mobile-first SaaS platform for SMS, MMS, RCS, and Mobile Wallet marketing and customer engagement for major brands.
What you will do
Engineer, operate, and improve cloud security controls covering networking, identity, logging, encryption, configuration baselines, and security tooling coverage.
Run vulnerability management end to end, including ingestion, triage, risk-based prioritization, remediation coordination, exceptions, and SLA reporting.
Tune detections, respond to security events, maintain incident-response runbooks, and run tabletop exercises and security improvements.
Improve IAM across employees, service accounts, and agent identities through least privilege, RBAC, SSO, provisioning automation, and access reviews.
Review application and infrastructure-as-code changes, create secure templates and automated CI/CD checks, and coach engineers on remediation.
Assess and secure AI tools and agents, support AI-enabled security workflows, and partner with engineering, IT Support, GRC, executives, and auditors on risk, remediation, and compliance evidence.
Requirements
3+ years of cybersecurity experience at a SaaS company or equivalent.
Hands-on security engineering experience in a cloud environment; AWS preferred.
Ability to read code and infrastructure as code, including Terraform or CloudFormation and languages such as Python, Go, or TypeScript, identify security issues, and provide constructive review feedback.
Practical experience with vulnerability management and incident response.
Solid understanding of IAM principles, including least privilege, RBAC, SSO, access reviews, and joiner/mover/leaver processes for people, service accounts, and agent identities.
Working knowledge of risks introduced by AI systems and ways AI can reduce security work.
Strong written and verbal communication skills, including the ability to explain risk to different audiences.
Nice to have
CISSP, AWS security certification, or another relevant certification.
Experience with SIEM, EDR, CSPM, vulnerability scanning, or IdP tooling.
Experience automating security workflows with scripting or APIs.
Hands-on experience evaluating or building LLM-based applications or agents.
Familiarity with NIST CSF, CIS Benchmarks, OWASP including the LLM Top 10, or MITRE ATT&CK.
Experience running tabletop exercises or leading incidents.
Culture & Benefits
Values include respect, honesty, integrity, continuous learning, customer focus, accountability, and ownership.
Benefits include medical, dental, vision, disability, and life insurance coverage.
Includes 11 paid holidays, flexible vacation, commuter benefits, and paid parental leave.
Includes a 401(k) plan with company match and employee stock options.
Equal employment opportunities are provided, with reasonable accommodations available during the selection process.
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