• Diseñar arquitecturas Cloud e híbridas para soluciones y aplicaciones. • Liderar técnicamente la definición de soluciones en preventa (arquitectura, alcance y estimaciones). • Actuar como interlocutor técnico con clientes y equipos internos. • Definir arquitecturas de contenedores, Kubernetes, CI/CD e IaC. • Diseñar redes y comunicaciones seguras (VPC, VPN, segmentación). • Integrar security by design en las soluciones propuestas. • Establecer estándares de plataforma y buenas prácticas. • Aportar criterio arquitectónico y liderazgo técnico por influencia.

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 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: - building and supporting tools, processes, and infrastructure enabling faster delivery and scaling of software releases, - ensuring high availability, reliability, and scalability of application infrastructure in cloud environments, - designing and maintaining CI/CD pipelines and release automation tools, - defining and implementing monitoring, logging, and metrics collection to ensure operational visibility, - supporting and driving cloud migration initiatives from OVH to GCP, including design, execution, and troubleshooting, - collaborating closely with development and operations teams to improve DevOps practices and system performance. Your profile: - 5+ years of professional experience as a DevOps Engineer or in a similar role, - strong hands-on experience with Google Cloud Platform (GCP), especially GKE and containerized workloads, - experience working with OVH infrastructure or environments, - solid understanding of cloud migration strategies and execution (including OVH environments), - experience with Kubernetes, Docker, Terraform, Helm, and Ansible, - experience with CI/CD tools such as GitHub Actions, Azure DevOps, or similar, - ability to troubleshoot and resolve complex issues in cloud migration and production systems, - strong knowledge of DevOps principles, SDLC, and infrastructure monitoring, - security awareness including OWASP principles, encryption, and secrets management, - scripting skills in Bash or PowerShell, - strong communication and collaboration skills, - upper-intermediate to advanced English (B2/C1), - 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. 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. Recruitment Process: CV review – HR call – Interview – Client Interview – Decision

• Drive the design, implementation, and evolution of a Kubernetes-based platform in a multi-cloud environment (GCP/AWS) • Lead design and operation of Kubernetes platform (GKE, multi-cluster) • Own and evolve CI/CD and GitOps practices (GitLab CI, ArgoCD) • Define and implement observability strategy (metrics, logs, tracing) • Design scalable, fault-tolerant, and highly available systems • Drive infrastructure automation (Terraform) • Partner with engineering teams to improve system reliability and performance • Establish SRE best practices (SLOs, SLAs, error budgets)

• Design, build, and operate reliable, scalable distributed systems. • Improve system availability, performance, and resilience. • Automate infrastructure, deployments, and operational processes. • Diagnose and resolve production issues. • Lead upgrades and migrations with minimal or zero downtime. • Participate in on-call rotations and incident response. • Collaborate closely with development teams to improve operability. • Drive best practices around monitoring, alerting, and capacity planning. • Reduce operational toil through automation. • Contribute to incident management, post-mortems, disaster recovery strategies, and continuous reliability improvements.