AI DevOps
Hello, let’s meet! Who We Are While Xebia is a global tech company, our journey in CEE started with two Polish companies – PGS Software, known for world-class cloud and software solutions, and GetInData, a pioneer in Big Data. Today, we’re a team of 1,000+ experts delivering top-notch work across cloud, data, and software. And we’re just getting started. What We Do We work on projects that matter – and that make a difference. From fintech and e-commerce to aviation, logistics, media, and fashion, we help our clients build scalable platforms, data and AI solutions, and cutting-edge applications to shape the future of tech. Our clients include McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more. We value smart tech, real ownership, and continuous growth. We use modern, open-source stacks, and we’re proud to be trusted partners of Databricks, dbt, Snowflake, Azure, GCP, and AWS. Fun fact: we were the first AWS Premier Partner in Poland! Beyond Projects What makes Xebia special? Our community. We support tech communities, organize meetups (Software Talks, Data Tech Talks), and have a culture that actively support your growth via Guilds, Labs, and personal development budgets — for both tech and soft skills. It’s not just a job. It’s a place to grow. What sets us apart? Our mindset. Our vibe. Our people. And while that’s hard to capture in text – come visit us and see for yourself. You will be: designing, building, and maintaining cloud-native AI platforms and infrastructure, developing, deploying, and optimising AI agent solutions using modern agentic frameworks, MCP, and AI runtime technologies, enabling engineering teams through AI-assisted development, automation, and developer productivity tools, collaborating with software engineers, AI specialists, and platform teams to deliver scalable, secure, and production-ready AI solutions. Your profile: 6+ years of experience as a DevOps Engineer, Platform Engineer, or Cloud Engineer on AWS, Azure, or GCP, hands-on experience with AI-assisted development tools such as Claude, Kiro, GitHub Copilot, or workflow automation platforms like n8n, practical experience designing, building, and deploying AI agents and agent-based workflows, experience with agentic runtimes, including xAgentic Runtime or similar frameworks, working knowledge of FastMCP, LangGraph, Model Context Protocol (MCP), and modern AI Agent Architectures, experience applying AI-assisted development practices to improve software delivery, automation, and developer productivity, strong understanding of Infrastructure as Code, CI/CD, containerization, and cloud-native technologies, excellent problem-solving skills and the ability to work independently in a fast-paced environment, strong communication skills, fluent English (at least B2 level). Work from the European Union region and a work permit are required. Recruitment Process: CV review – HR call – Interview – Team / Client Interview – Decision