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Senior Site Reliability Engineer - AWS & AI | EU

  • Remote
    • Remote, Sofia, Bulgaria
    • Remote, Praha, Hlavní město, Czechia
    • Remote, Lisboa, Portugal
    • Budapest, Budapest, Hungary
    • Bucharest, București, Romania
    • Remote, Comunidad de Madrid, Spain
    • Remote, Chișinău, Moldova, Republic of
    +6 more
  • CEE Recruitment

Job description

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-driven solutions, and next-gen apps using ML, LLMs, and Generative AI. Our clients include Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, and Allegro or InPost. 

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 run events like the Data&AI Warsaw Summit, 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. 

About Project

The project focuses on improving and scaling CI/CD processes while modernizing infrastructure provisioning using cloud-native and AI-driven tools. You will work on enhancing automation, reliability, and deployment efficiency through Infrastructure as Code and GitOps practices. A key aspect of the role involves leveraging AI-powered tooling to optimize operational workflows and system performance.

You will be:

  • building and supporting tools, processes, and infrastructure that enable faster and higher-quality software delivery and scaling,

  • ensuring the availability, reliability, and scalability of application infrastructure,

  • building and supporting continuous integration, delivery, and release pipelines,

  • ensuring the right metrics are collected, monitored, and actionable.

Job requirements

Your profile:

  • smart and tech-savvy engineer with 5+ years of experience in DevOps practices and Continuous Delivery,

  • practical knowledge of AWS services, infrastructure, and networking,

  • solid experience with Kubernetes (ideally EKS on AWS) and container orchestration,

  • Python knowledge,

  • experience working with AI Agents,

  • familiarity with Claude Code,

  • experience with FastMCP or other MCP libraries,

  • hands-on experience with GitOps practices, preferably with ArgoCD,

  • strong skills in Terraform and Helm,

  • proficiency in Bash scripting (PowerShell is a plus),

  • experience with CI/CD pipelines and tooling (GitLab CI/CD, GitHub Actions, or similar),

  • experience with monitoring, observability, and logging tools (e.g., Prometheus, Grafana, AppDynamics, OpenSearch),

  • strong security awareness (OWASP, encryption, secrets management),

  • highly communicative and collaborative, with a strong sense of ownership,

  • upper-intermediate / advanced English (B2/C1).


Nice to have:

  • AWS certifications (e.g., Solutions Architect, Platform Engineer),

  • familiarity with FluxCD,

  • experience with Rancher,

  • knowledge of Keycloak.

Work from the European Union region and a work permit are required.

Candidates must have an active VAT status in the EU VIES registry: https://ec.europa.eu/taxation_customs/vies/

Recruitment Process:

CV review – HR Call – Interview I – Interview II – Decision

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