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4 дня назад

DevSecOps Engineer (AI)

60 000
Формат работы
hybrid
Тип работы
fulltime
Английский
b2
Страна
Austria
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

DevSecOps Engineer (AI/Cloud): Ownership of security posture for infrastructure and CI/CD pipelines across SaaS, multi-cloud, and on-prem environments with an accent on container security and compliance. Focus on embedding security into the engineering lifecycle, automating security scanning, and designing secure network architectures for regulated customers.

Location: Hybrid (Graz, Austria). Full remote work is not possible; candidate must be based in Austria.

Salary: from €60,000 gross per year

Company

A scalable AI platform providing real-time, on-demand geospatial insights using satellite and drone imagery.

What you will do

  • Embed security into the full engineering lifecycle, from code commit through production deployment.
  • Build and maintain automated security scanning (SAST, DAST, secret/image scanning) integrated into CI/CD pipelines.
  • Own secrets management, container hardening, and secure baseline configuration across cloud and on-prem environments.
  • Support compliance and audit readiness for government and regulated customers.
  • Design secure network architectures for cloud, hybrid, or on-prem deployments.
  • Respond to security incidents and vulnerability disclosures via triage, remediation, and documentation.

Requirements

  • Hands-on experience with container and Kubernetes security in production environments.
  • Background working in or alongside regulated or government environments.
  • Strong Linux system administration skills with the ability to harden hosts and debug security incidents.
  • Solid understanding of networking, PKI, and secrets management.
  • Scripting proficiency in Python and Bash.
  • Must be based in Austria as full remote work is not possible.

Nice to have

  • Experience with SOC or ISO certification.
  • Knowledge of GPU workload security for ML inference pipelines.
  • Familiarity with OpenShift and hardening OS/image builds.

Culture & Benefits

  • Opportunity to solve unique security challenges across SaaS, enterprise cloud, and on-prem deployments.
  • Strategic impact on revenue by enabling expansion into regulated customer segments.
  • Healthy work-life balance with flexible working arrangements.
  • Competitive compensation with personalized benefits, including healthcare and mental well-being programs.
  • Professional growth opportunities and learning budgets.

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