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:
- managing and maintaining infrastructure across AWS, Azure, GCP, and on-premise environments,
- performing platform provisioning, patching, and configuration management activities,
- executing change requests in line with ITIL change management procedures,
- supporting capacity planning and right-sizing of cloud resources,
- maintaining and updating Infrastructure as Code configurations using Terraform, Ansible, CloudFormation, or similar tools,
- collaborating with SRE Engineering teams on reliability improvements and automation initiatives,
- participating in production readiness reviews for new platform deployments,
- troubleshooting platform-level issues impacting application performance and availability,
- providing CET-timezone platform operations coverage as part of the nearshore delivery model,
- supporting disaster recovery testing and business continuity activities.
Your profile:
- 3 - 5 years of experience in platform operations, infrastructure engineering, or cloud operations,
- practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery,
- hands-on experience with at least two major cloud providers such as AWS, Azure, or GCP,
- strong Linux and/or Windows server administration skills,
- experience with Infrastructure as Code tools including Terraform, Ansible, CloudFormation, or Pulumi,
- understanding of networking concepts such as DNS, load balancers, firewalls, and VPNs,
- experience with containerisation platforms including Kubernetes, Docker, ECS, EKS, or AKS,
- familiarity with CI/CD pipelines and GitOps workflows,
- good English communication skill (at least B2 level).
Work from the European Union region and a work permit are required.
Nice to have:
- 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,
- experience with Kubernetes operators or custom controllers,
- cloud certifications such as AWS Solutions Architect Associate, Azure Administrator, or Google Cloud Associate Cloud Engineer,
- experience with database administration including PostgreSQL, MySQL, or MongoDB,
- knowledge of security best practices and compliance frameworks,
- experience working in multi-tenant managed services environments.
Recruitment Process:
CV review – HR call – Technical Interview – Client Interview – Decision
