4 дня назад
Senior DevSecOps Engineer (Data & AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior DevSecOps Engineer (Data & AI): Building secure CI/CD pipelines and cloud-native security controls for Data & AI applications with an accent on Kubernetes, vulnerability management, and practical security guardrails. Focus on embedding automated security testing, prioritizing CVEs, and enabling AI/ML, MLOps, and Data Science teams to develop and deploy securely.
Location: Remote based in Germany, with occasional on-site collaboration at offices in Berlin or Cologne. Up to 20 work-from-home days per year may be taken anywhere in the EU.
Company
is a leading European online pharmacy focused on digital healthcare and innovation.
What you will do
- Build and maintain secure CI/CD pipelines with automated security testing and controls.
- Strengthen application, Kubernetes, container, and cloud-native security with engineering teams.
- Translate security requirements into practical guardrails, standards, and solutions for AI/ML, MLOps, and Data Science teams.
- Identify, assess, prioritize, and support remediation of CVEs and other vulnerabilities.
- Contribute to security testing, monitoring, observability, tooling, and continuous application-security improvements.
Requirements
- Strong hands-on experience as a DevSecOps or Application Security Engineer.
- Senior or Staff-level technical depth and independence in owning complex security topics.
- Experience with CI/CD security, GitHub, GitLab, or comparable tools, including automated security checks and guardrails.
- Expertise in application and cloud-native security, Kubernetes and container security, vulnerability management, scanning, triage, prioritization, and remediation.
- A shift-left mindset and the ability to work closely with developers to embed security into software development and deployment.
Nice to have
- Experience with Python and Data & AI/ML environments.
Culture & Benefits
- Collaborative environment with cross-functional work across MLOps, Data Science, AI, and Engineering teams.
- Flexible work-from-home arrangements, including limited work-from-anywhere days within the EU.
- Internal and external training and career-development support.
- Childcare grant of €100 per month for eligible kindergarten expenses.
- Mental-health support, team events, a Deutschland Ticket, and Urban Sports Club membership.
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