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:
- investigating and resolving P2–P4 incidents across multi-cloud infrastructure environments, including AWS, Azure, GCP, and on-premise platforms,
- performing root-cause analysis and contributing to blameless Post-Incident Reviews (PIRs),
- implementing workarounds and permanent fixes for recurring incidents,
- collaborating with L3 and SRE Engineering teams on complex technical investigations,
- participating in joint RCA backlog management activities with engineering teams,
- working with AI agents, including Dependency Analysis and Change Risk tools, to validate automated recommendations,
- updating and improving SOPs and runbooks based on incident learnings and operational insights,
- supporting the adoption of SRE practices, including error budgets, SLO tracking, and toil reduction initiatives,
- providing CET-timezone coverage as part of the European nearshore delivery model,
- mentoring L1 engineers and supporting knowledge transfer activities from incumbent teams.
Your profile:
- 3–5 years of experience in L2/L3 production support or infrastructure operations,
- practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery,
- strong troubleshooting skills across Linux, Windows, networking, and cloud platforms,
- experience with at least one major cloud provider such as AWS, Azure, or GCP,
- proficiency with monitoring and observability tools, including Datadog, Splunk, or AppDynamics,
- experience with ITSM tools such as ServiceNow and incident management workflows,
- understanding of SRE principles, including SLIs, SLOs, error budgets, and toil reduction,
- scripting skills using Bash, Python, or PowerShell,
- strong English communication skills, both written and verbal (at least B2 level).
Work from the European Union region and a work permit are required.
Nice to have:
- experience with containerised environments such as Kubernetes or Docker,
- 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,
- familiarity with Infrastructure as Code tools, including Terraform or Ansible,
- ITIL Foundation or SRE certifications,
- experience working in managed services or multi-tenant environments.
Recruitment Process:
CV review – HR call – Technical Interview – Client Interview – Decision
