Jobs / adorsys GmbH & Co. KG
DevSecOps Engineer (m/w/d) Schwerpunkt AI Platforms
adorsys GmbH & Co. KG · Nürnberg, BY, Deutschland
Nürnberg, BY, DeutschlandExp: 3+ yrsHybrid
Remuneration
Not specified
Location
Nürnberg, BY, Deutschland
Visa sponsorship
Not specified
Job summary
The DevSecOps Engineer helps customers develop and securely operate modern cloud and AI platforms, working across platform engineering, security, and AI. Responsibilities include integrating security checks into CI/CD pipelines, automating deployments with GitOps and Infrastructure as Code, securing AI gateways and AI-agent platforms, and deploying containerized applications with Docker and Kubernetes across cloud environments such as AWS, Azure, and STACKIT.
Benefits
31 vacation days initially, increasing by one day annually up to 40 daysAnnual professional development budget equal to 3% of gross salaryFlexible working hours and remote workChildcare or daycare subsidyTeam eventsJobRad and public transportation subsidyOccupational pension contribution and capital-forming benefitsShopping and sports discounts
Qualifications
- Completed IT training, a computer science degree, or an equivalent qualification
- At least 3 years of experience in DevOps, DevSecOps, or comparable work
- Strong knowledge of CI/CD, container technologies, and cloud platforms such as AWS, Azure, or STACKIT
- Practical experience with security tools, vulnerability management, and secure deployment processes
- Experience with Infrastructure as Code tools such as Terraform, OpenTofu, or Ansible
- Interest in AI infrastructure, AI security, and collaborative solution development
- Very good German skills (C1) and good English skills
Responsibilities
- Guide customers in developing secure, modern cloud and AI platforms.
- Integrate security standards and automated security checks into CI/CD pipelines.
- Automate build and deployment processes using GitOps and Infrastructure as Code.
- Design and secure AI gateways for reliable AI application operations.
- Help build secure platforms for developing, deploying, and monitoring AI agents.
- Implement security controls for AI agents, interfaces, and access permissions.
- Deploy and secure containerized applications with Docker and Kubernetes.
- Improve cloud architectures, security standards, and DevSecOps processes.
Skills
AnsibleAWSAzureDockerKubernetesOpenTofuTerraform
Degrees
Computer science degree or equivalent qualification
Languages
German (C1)English
Work schedule
Flexible working hours
Industry
Cloud computingCybersecurityArtificial intelligenceSoftware engineeringDigital finance and identity
Relocation
No