Stand out for this role — generate a tailored resume and cover letter in about a minute.
Redcare Pharmacy, Europe’s leading online pharmacy, is seeking a Senior DevSecOps Engineer to embed security into development and deployment across cloud-native platforms and Kubernetes.
You will collaborate with MLOps, Data Science and AI teams to implement practical guardrails, improve vulnerability management and drive security across the software lifecycle.
As Europe’s leading online pharmacy, Redcare Pharmacy is driven by our dedicated teams and cutting‑edge innovation. We strive to create an enjoyable and collaborative working environment where every employee feels comfortable and is motivated to contribute to our vision: “Until every human has their health.” If you are looking for a meaningful career that aligns with your values, join our team and start your #Redcareer.
As Senior, DevSecOps Engineering within our Data & AI organization, you’ll help us make security an integral part of how we develop and deploy applications. Working closely with MLOps, Data Science, AI and Engineering teams, you’ll combine hands‑on security engineering with practical guidance, strengthening security across the development lifecycle and helping teams address new and emerging security challenges.
Our security and development landscape includes GitHub / GitHub Actions, Azure DevOps, Kubernetes, Terraform and Python, alongside Azure services such as Entra ID (AAD), Key Vault, Azure Policy, Defender for Cloud and Microsoft Sentinel. For application, container and infrastructure security, we work with technologies and approaches including Aikido, Trivy, CodeQL, Dependabot, Checkov/tfsec and OPA/Gatekeeper or Kyverno. Our Data & AI environment also includes Databricks, Unity Catalog and MLflow.
While this is a remote position based in Germany, it may require occasional on‑site collaboration at our offices in Berlin or Cologne, depending on business and team requirements.
Build and maintain secure CI/CD pipelines, embedding security testing and controls into software development and deployment while enabling engineering teams to work efficiently and securely.
Strengthen application and cloud‑native security, working hands‑on with development teams across Kubernetes and containerized environments to identify risks and implement practical security controls.
Enable secure development across Data & AI by translating security requirements into practical guardrails, standards and solutions that AI/ML, MLOps and Data Science teams can apply in their day‑to‑day development.
CVE & vulnerability management: continuously identify and assess vulnerabilities, support their prioritisation and work closely with application teams on practical mitigation and remediation.
Monitoring, security & continuous improvement: contribute to security testing, rollout and observability, advise teams when new security issues arise, and explore tooling and automation that can further strengthen application security.
In order to provide our employees with the best possible support for their individual needs, we offer a wide range of benefits: