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

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

• Market Leadership: Join a global leader where our agile culture and innovative spirit allow you to shape the future of financial stability.

• International Scope: Take ownership of high-profile international projects and benefit from our global internal mobility initiatives.

• Growth & Mentorship: Access a wide range of our technical and functional training opportunities.

• Culture of Inclusion: We foster a supportive, transparent atmosphere with frequent team events and a commitment to diversity
   

​To get started, we only need your CV. We look forward to meeting you in a virtual or personal interview!
 

Regnology is committed to equal employment opportunities regardless of gender, age, nationality, ethnic or social origin, disability, or identity.

Role ID : R&D 246/248

www.regnology.net