What You'll Do

As a CI/CD & AI-Enabled DevOps Engineer, you will help us design, operate, and evolve our developer platform to ensure availability, scalability, security, and developer productivity. You will also play a key role in integrating AI-driven workflows, intelligent automation, and developer agents into our platform.

Your Key Accountabilities Are

Evaluate, implement, and continuously improve CI/CD tools, AI-assisted development workflows, and platform capabilities
Configure and maintain CI/CD tools such as Jenkins, Artifactory, Bitbucket, and their infrastructure on GCP (Linux)
Design and implement AI-powered developer productivity solutions, including:
Developer assistants and AI agents for CI/CD, debugging, and operational tasks
Automation of repetitive workflows using LLM-based tooling
Work with Model Context Protocol (MCP) or similar frameworks to enable secure, structured interactions between AI systems and internal tools/services
Build and maintain internal developer platforms that expose infrastructure and services via APIs and self-service capabilities
Troubleshoot and resolve application and infrastructure issues across CI/CD and platform systems
Collaborate with development teams to improve developer experience (DevEx), release velocity, and system reliability
Partner with security and compliance teams to ensure safe adoption of AI, including data protection, access control, and auditability
Develop and maintain documentation for CI/CD processes, platform services, and AI-enabled workflows
Monitor, measure, and optimize system performance, cost, and usage patterns

Why we should decide on you

Bachelor's degree in a technical field (Information Science, Computer Science, or similar)
3+ years of experience in CI/CD, DevOps, or Platform Engineering
Strong expertise in Jenkins, Linux, and GCP
Experience with Infrastructure as Code (Terraform) and containerization/orchestration (Docker, Kubernetes, GKE, Helm)
Experience with observability and monitoring tools (Prometheus, Grafana, Elastic Cloud)
Solid understanding of security best practices (IAM, encryption, secrets management, certificates)
Strong scripting/programming skills (e.g., Python, Bash)

AI & Modern Platform Capabilities

Experience or strong interest in AI/LLM integration in developer workflows
Familiarity with agent-based systems, automation frameworks, or developer copilots
Understanding of Model Context Protocol (MCP) or similar approaches to tool/LLM integration
Experience building or integrating APIs, internal developer platforms, or self-service tooling
Ability to evaluate and adopt emerging tools in the AI + DevOps ecosystem

Soft Skills

Strong problem-solving mindset and ability to work in complex distributed systems
Customer-oriented and self-motivated mindset
High interest in continuous learning (especially in AI, automation, and platform engineering)
Fluent in English

Why you should decide on us

Let's grow together, join a market leading SaaS company – our agile character and culture of innovation enables you to design our future.
We provide you with the opportunity to take on responsibility and participate in international projects.
In addition to our buddy-program, we offer numerous individual and wide-ranging training opportunities during which you can explore technical and functional areas.
Our internal mobility initiative encourages colleagues to transfer cross functionally to gain experience and promotes knowledge sharing.
We are proud of our positive working atmosphere characterized by a supportive team across various locations and countries and transparent communication across all levels.
Together we're better - meet your colleagues at our numerous team events.

DevOps Engineer (CI/CD & AI-Enabled Platform)