Senior, DevSecOps Engineering (m/f/d)

About your tasks:

- Build and maintain secure CI/CD pipelines (Azure DevOps or GitHub Actions): secrets hygiene, signed artifacts/SBOMs, SAST/DAST/container scanning, least-privilege service connections, and supply-chain hardening.

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Automate security in infrastructure with Terraform: enforce guardrails using policy-as-code (Azure Policy, OPA/Conftest) and continuous IaC scanning (Checkov/tfsec).

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Harden Kubernetes : implement RBAC, NetworkPolicies, Pod Security Standards, secret management, image signing/scanning, and admission policies (Gatekeeper/Kyverno).

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Protect cloud identities & data : manage Entra ID roles/Managed Identities, Key Vault, Private Link/NSGs, encryption at rest/in transit, and just-in-time/least-privilege access.

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Secure ML/MLOps : lock down Databricks (Unity Catalog permissions, secret scopes), MLflow/model registry, feature stores; add model artifact signing, provenance, and runtime isolation for training/serving.

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Monitoring, logging & response : wire platform and security telemetry to Microsoft Sentinel/Defender, define alerts/runbooks, and support incident response and tabletop exercises.

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CVE & vulnerability management : maintain and publish SBOMs; continuously scan for vulnerabilities; triage CVEs (e.g., CVSS scoring + exploitability context), coordinate mitigations/patches, track exposure windows and SLAs, verify remediation, and report metrics to SecOps/GRC.

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Concepts & architecture : draft and maintain reference architectures, trust-boundary diagrams, data-classification schemes, environment isolation patterns, secure secret/key management patterns, and network segmentation for AI services.

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Compliance & assurance : contribute to risk assessments and threat modeling (incl. AI-specific risks: prompt injection, data exfiltration, model theft), support DPIAs, vendor/third-party risk reviews, penetration tests, control testing, evidence collection, and audit readiness for ISO 27001 , GDPR , and EU AI Act/NIS2 where applicable.

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Governance : maintain security baselines and exceptions, own platform security KPIs, ensure retention policies, access reviews, and end-to-end audit trails (code → data → model → deployment).

About you:

- Experience as a DevSecOps / Cloud Security Engineer (or DevOps with strong security focus) in Azure and Kubernetes environments.

- Hands-on with Azure DevOps/GitHub Actions ; comfortable automating guardrails and checks in pipelines.

- Working knowledge of Azure security (Entra ID, Key Vault, Azure Policy, Defender for Cloud, Sentinel) and Kubernetes security .

- Familiar with vulnerability management & CVEs (SBOM creation, dependency/container/IaC scanning, triage/prioritization, remediation workflows, SLA tracking).

- Understanding of Data & AI/ML security : Databricks (Unity Catalog, SCIM/AAD), MLflow/model registry, secrets, data governance, and privacy-by-design.

- Comfortable interfacing with central Security and compliance teams, contributing to audits and group standards , and translating requirements into practical controls.

- A shift-left mindset: you collaborate across teams, codify controls, and enjoy solving real-world security challenges in cloud-based Data & AI platform.

About your benefits:

In order to provide our employees with the best possible support for their individual needs, we offer a wide range of benefits:

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Work from Home : If your job does not require you to be present in the office, we can arrange the place you work from individually - even for up to 20 days a year anywhere in the EU.

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Redcare events : We promote teambuilding through creative team events, and celebrate our successes together at regularly scheduled parties.

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Kindergarten Grant : We offer our employees who pay for childcare in kindergarten 100,00 € (total) per month.

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Mental Health : Get quick and professional help from psychologists if you feel overwhelmed in private or professional life. Anonymous and free of charge.