обновлено 6 дней назад
Cloud & AI Security Architect
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Cloud & AI Security Architect (Cloud/AWS-Azure-GCP): Architecting and implementing secure cloud foundations and security controls, including policy-as-code compliance automation, SOC assistance copilots, and secure GenAI (RAG, model gateway, tenant isolation). Focus on designing cohesive SIEM/SOAR and CNAPP/CSPM architectures, building detection/response accelerators, and ensuring secure-by-design IT infrastructure with hands-on vulnerability assessment and risk-driven security audits.
Company
delivers and modernizes mission-critical technology systems for leading businesses.
What you will do
- Architect and implement secure cloud foundations (landing zones, identity, network segmentation, logging pipelines, key management, secrets handling).
- Engineer cloud security controls and automate compliance validation using policy-as-code.
- Build AI-powered security capabilities (investigation/triage copilots, alert enrichment, case summarization, detection engineering accelerators, SOAR workflow augmentation, anomaly detection on security telemetry).
- Design secure GenAI architectures (RAG with secure data access, model gateway controls, prompt/data protections, tenant isolation, telemetry/monitoring/evaluation).
- Integrate enterprise security platforms into cohesive architectures (SIEM/SOAR, CNAPP/CSPM, CIEM, IAM/PAM, EDR/XDR) and develop reusable reference assets.
- Support DevSecOps practices (secure CI/CD, IaC scanning, container security and Kubernetes guardrails) and operationalize solutions with client SOC/cloud/app teams.
Requirements
- 5+ years of experience in cybersecurity and/or cloud security with strong hands-on engineering exposure.
- Practical experience with AWS, Azure, and/or GCP security services and cloud-native patterns.
- Understanding of cloud logging/telemetry, encryption and key management, network security, and identity & access controls.
- Experience prototyping or delivering AI-enabled solutions (analytics, automation, copilots, detection acceleration).
- Familiarity with RAG, embeddings, secure prompt/data handling, and AI telemetry.
- Ability to produce implementable designs (diagrams, patterns, reference implementations) and support delivery teams through build and operationalization.
Culture & Benefits
- Hybrid-friendly work environment with a focus on well-being.
- Be Well programs supporting financial, mental, physical, and social health.
- Access to learning and career growth, including certifications (Microsoft, Google, Amazon), coaching, and hands-on experiences.
- Continuous feedback and development goals aligned with ambitions.
- Culture emphasizing empathy, restless learning, and shared success.
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