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 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:
Your profile:
8+ years of experience in cloud, infrastructure, or platform engineering roles,
strong hands-on experience designing and operating AWS environments at scale (multi-account),
proven expertise in Infrastructure as Code such as Terraform,
experience implementing CI/CD pipelines and embedding DevSecOps practices,
strong knowledge of AWS core domains - networking, IAM, container platforms (e.g. EKS), and security principles,
experience improving platform reliability through observability, monitoring, and incident management,
familiarity with least-privilege IAM strategies, and secure-by-design cloud architecture,
practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery.
Work from the European Union region and a work permit are required.
experience implementing AWS landing zones and Control Tower at scale,
familiarity with policy-as-code and automated compliance controls,
experience working in large-scale, distributed enterprise environments,
exposure to FinOps practices and cloud cost optimization strategies,
experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work,
interest in and familiarity with emerging AI-driven practices (e.g. agent-based workflows, automation patterns, AI-augmented development), with a willingness to explore and experiment beyond standard approaches.
