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

About the role

Help design, operate, and evolve our developer platform to ensure availability, scalability, security, and developer productivity. Play a key role in integrating AI-driven workflows, intelligent automation, and developer agents into our platform.

Responsibilities

• 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

Requirements

• 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

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

Benefits

• Opportunity to take on responsibility and participate in international projects
• Buddy program and numerous individual training opportunities
• Internal mobility initiative to transfer cross-functionally and gain experience
• Positive working atmosphere with a supportive team across various locations and countries
• Transparent communication across all levels
• Numerous team events