Principal DevOps Engineer

Job description

Description

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 and evolving cloud platforms with a focus on Azure Cloud services,

  • leading on-premises to cloud migration initiatives ensuring scalability, security, and high availability,

  • implementing automated deployment pipelines and infrastructure provisioning solutions,

  • driving platform security testing and ensuring compliance with company-wide security standards,

  • partnering with Product, Architecture, and Software Engineering teams to deliver secure, cost-effective SaaS products,

  • contributing to platform engineering, operations, and security research to introduce innovative solutions,

  • supporting continuous improvement of operational processes critical for cloud platform and operations success,

  • aligning work with company-wide OKRs and strategic initiatives focused on cloud-native transformation.

Requirements

Your profile:

  • 8+ years of experience as a DevOps Engineer or in Platform Engineering,

  • programming experience with modern frameworks and languages (e.g., React, Vue, Angular for frontend; Node.js, .NET, Python, Go for backend),

  • proven experience in building and deploying production web applications,

  • experience in configuring, deploying, and maintaining large Kubernetes environments (including network topology, security, monitoring) — both on bare metal and using AKS — as well as cloud services on Azure,

  • in dept knowledge of Azure infrastructure and services,

  • in depth knowledge of Azure DevOps,

  • practical experience with developing Infrastructure as Code, especially using Terraform, and automating application deployment,

  • solid understanding of application and infrastructure security principles,

  • comfortable working with database technologies (SQL and NoSQL) across development and operations,

  • good verbal and written communication skills in English (min. B2),

  • work from EU and a work permit to work from EU are required.

Nice to have:

  • experience building internal developer platforms and self-service tools,

  • AWS knowledge and multi-cloud development experience,

  • background in observability tools and monitoring solutions,

  • familiarity with event-driven architectures and streaming platforms,

  • understanding of AI integration patterns and automation opportunities,

  • contributions to open-source projects,

  • experience with GitOps principles and implementation,

  • background in building highly available, distributed systems,

  • knowledge in areas such as chaos engineering, DevSecOps, or data pipeline development,

  • awareness of FinOps practices and cost optimization strategies.

Recruitment Process

CV review – HR call – Technical Interview – Client Interview – Decision

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