Poland and Eastern Europe

Role Description - Designing, building, and operating scalable Kubernetes-based platform infrastructure. - Developing backend platform services and reusable engineering components. - Building and maintaining cloud-native solutions (primarily on AWS). - Creating and evolving Infrastructure as Code solutions using Terraform. - Designing and implementing CI/CD pipelines and deployment automation. - Developing scalable multi-tenant platform capabilities for engineering teams. - Building self-service developer platform features and internal tooling. - Designing and maintaining APIs and platform architecture standards. - Improving platform reliability, observability, and monitoring capabilities. - Collaborating with engineering teams to improve developer experience and platform adoption. - Contributing to platform engineering best practices and technical standards. - Supporting container platform operations and orchestration processes. - Driving automation and operational excellence across the platform ecosystem. Qualifications - 5+ years of experience as a Platform Engineer. - Practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery. - Strong hands-on experience with Kubernetes, including cluster operations and orchestration concepts. - Strong backend engineering background. - Strong programming skills in TypeScript and/or Go; Python experience is a plus. - Solid experience with cloud platforms, preferably AWS. - Practical experience with Infrastructure as Code tools, preferably Terraform. - Experience with CI/CD pipelines and deployment orchestration. - Experience designing scalable multi-tenant systems. - Strong understanding of API and platform architecture. - Solid Linux and networking fundamentals. - Experience with observability and monitoring solutions. - Experience building reusable self-service platform capabilities for developers. - Good English communication skills (at least B2 level). - Work from the European Union region and a work permit are required. Requirements - 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 Internal Developer Platforms (IDP). - Experience building Kubernetes operators and controllers. - Experience with Backstage or developer portal tooling. - Experience in container runtime or platform engineering. - Knowledge of event-driven and distributed systems architecture. - Experience with service mesh technologies and OpenTelemetry. Recruitment Process - CV review - HR call - Technical Interview - Client Interview - Decision

Role Description You will be: - Building and supporting the tools, processes and infrastructure empowering the faster delivery and scaling of software iterations (ideally with greater quality and the necessary operational insight). - Planning and executing GitHub migration activities, including repository migration, CI/CD transition and integration alignment across development workflows. - Ensuring availability, reliability and scalability of application infrastructure. - Building and supporting continuous integration/delivery and release tools. - Ensuring the right metrics are collected and monitored. Qualifications - 5+ years of experience in DevOps. - Strong expertise in CI/CD and SCM tools, especially GitHub (including workflows and administration level understanding), GitHub Actions, Azure DevOps. - 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 cloud platforms Azure. - Solid experience with Kubernetes and container orchestration. - Proven experience designing and maintaining CI/CD pipelines. - Proficiency in Python or another scripting language. - Strong communication and collaboration skills. - Proficiency in English at the B2/C1 level. - Work from the European Union region and a work permit are required. Requirements - 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 Bitbucket. - Familiarity with GitOps tools (e.g. ArgoCD, FluxCD). - Certifications or knowledge at the level of: GitHub Admin / GitHub Enterprise. Recruitment Process - CV review - HR call - Interview - Client Interview - Decision

Role Description You will be: - Delivering the entire global network backbone infrastructure across multiple AWS regions. - Building centralised egress architectures using AWS Network Firewall to ensure secure, scalable, and cost-effective traffic management across all regions. - Building and maintaining AWS Cloud WAN infrastructure to provide seamless connectivity and routing across the global network footprint. - Developing and maintaining infrastructure as code using Terraform to ensure consistent, repeatable, and version-controlled network deployments. - Collaborating with security architects, cloud engineers, and other stakeholders to gather requirements and translate them into robust network architectures and technical specifications. - Driving the implementation of network automation and self-service capabilities to enable parallel development and incremental delivery of network services. - Leading by example through hands-on technical work while mentoring other network engineers and providing technical guidance and knowledge sharing. - Ensuring the reliability, performance, and security of network infrastructure through comprehensive testing, monitoring, and continuous improvement. - Driving the adoption of best practices in network engineering, including infrastructure as code and automation-first approaches. - Troubleshooting and resolving complex network issues across multi-region environments on time. - Staying up to date with the latest AWS networking services, industry trends, and technologies to ensure the infrastructure remains competitive and efficient. Qualifications - 5+ years of experience in network engineering with a strong focus on enterprise cloud networking solutions. - Practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery. - Deep hands-on expertise in AWS Cloud WAN, including configuration, routing policies, and multi-region connectivity. - Strong proficiency in Terraform and proven experience managing complex network infrastructure deployments. - Extensive experience designing and implementing centralised egress architectures using AWS Network Firewall, including policy management and traffic inspection. - Proven track record of delivering large-scale network infrastructure projects in fast-paced environments. - Excellent problem-solving skills with the ability to think critically and creatively about complex network challenges. - Strong communication and collaboration skills with the ability to work effectively in cross-functional and team-oriented environments. - Experience working with agile methodologies and DevOps practices applied to network infrastructure. - Ability to use a data-driven approach to network optimisation, capacity planning, and decision-making. - Fluent English communication skills. Requirements - 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

Role Description You will be: - Part of the Global Infrastructure team responsible for managing and securing Xebia’s global cloud and on-premise environments. - Working in an international environment with distributed technical teams. - Contributing to standardization, security, and compliance across global infrastructure. - Taking ownership of cloud-related operational and automation tasks in Azure. Qualifications - Strong knowledge of Azure Cloud. - Hands-on experience with PowerShell scripting and Azure Runbooks. - Good understanding of IT Security principles and best practices. - Ability to work independently and take ownership of tasks. - Strong communication and collaboration skills. - English proficiency at C1 or C2 level. - Work from the European Union region and a work permit are required. Requirements - Experience with Google Cloud Platform (GCP) administration (nice to have). - Knowledge of GitHub administration and workflows (nice to have). - Familiarity with Amazon Web Services (AWS) (nice to have). - Experience working in complex, multicultural environments (nice to have). Company Description Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions. We specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture. In the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing. Recruitment Process - CV review - HR call - Technical Interview - Decision

Role Description You will be: - Designing and developing scalable IT architecture solutions across cloud and hybrid environments. - Building and maintaining infrastructure solutions based on Microsoft technologies and ecosystem. - Collaborating with technical teams and business stakeholders to gather requirements and recommend optimal solutions. - Participating in cloud transformation and migration projects. - Ensuring solutions align with IT Security best practices and standards. - Providing architectural guidance and technical support throughout project delivery. Qualifications - Strong hands-on experience with Azure Cloud. - Strong hands-on experience with GCP Cloud. - Good understanding of IT Security principles and best practices. - Experience designing and implementing infrastructure solutions based on Microsoft technologies and tools. - English - C1. - Work from the European Union region and a work permit are required. Requirements - Experience with AWS Cloud (nice to have). - Endpoint Management / MDM skills (nice to have). Company Description Xebia is a global AI-first, digital transformation, and engineering partner with over 25 years of experience and a team of 5,000 professionals across 16 countries. We help organizations design and build scalable products, platforms, and data-driven solutions. We specialize in: - Artificial Intelligence - Data and Cloud - Intelligent Automation - Digital Products In the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as: - McLaren - Aviva - Deloitte - Spotify - Disney - ING - UPS - Tesco - Truecaller - AllSaints - Volotea - Schmitz Cargobull - Allegro - InPost - And many more. We work with leading technologies including: - AWS - Azure - GCP - Databricks - Snowflake We combine a strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing. Recruitment Process - CV review - HR call - Technical Interview - Decision

Role Description Our client is a large, technology‑driven logistics and e‑commerce services organization operating at significant scale. The company processes high volumes of operational and analytical data daily and invests heavily in modern cloud‑based data platforms. Data is a critical enabler for business performance, decision‑making, and continuous optimization across the organization. You will join a Data Services / Data Engineering team responsible for designing, building, and operating scalable data solutions on a modern cloud analytics platform. The team supports multiple business domains by delivering reliable, well‑governed, and high‑performance data pipelines. You will be: - Designing, developing, and maintaining scalable data pipelines using Python and PySpark. - Building and operating Delta Live Tables pipelines in both streaming and triggered modes. - Selecting and configuring appropriate Databricks compute for different workload types. - Implementing and maintaining data governance using Unity Catalog across Databricks workspaces. - Diagnosing, analysing, and optimising slow SQL queries on large Delta tables. - Defining, packaging, and deploying Databricks resources using Databricks Asset Bundles. - Collaborating closely with other data engineers, analytics teams, and platform stakeholders. - Contributing to best practices around performance, reliability, and maintainability of data solutions. Qualifications - Strong experience with AWS Databricks. - Proven experience building scalable data pipelines using Python and PySpark. - Hands‑on experience designing and operating Delta Live Tables pipelines. - Solid understanding of Databricks compute options and the ability to choose the right configuration for specific workloads. - Ability to diagnose and optimise slow SQL queries on large Delta tables using a structured approach. - Experience using Databricks Asset Bundles for infrastructure and deployment as code. - Experience working with Unity Catalog to centralize data governance. - Experience working in complex, data‑intensive environments with large datasets. - Good understanding of data modeling and data quality concepts. - 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. Requirements - Familiarity with CI/CD practices for data platforms. - Experience collaborating in cross‑functional, agile teams. - Experience with streaming data architectures. - Exposure to data platform cost optimization. - Experience mentoring or supporting other data engineers. - Knowledge of wider AWS data ecosystem services. - 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

Role Description You will be: - xxx Qualifications - 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. Requirements - 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. Company Description Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions. We specialize in: - Artificial Intelligence - Data and Cloud - Intelligent Automation - Digital Products In the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing. Recruitment Process - CV review - HR call - Interview - Client Interview - Decision

Role Description We are looking for Ruby Developers to join projects delivered for our international clients operating across complex digital and enterprise environments. This role is a great opportunity to work on mature Ruby on Rails applications that continue to evolve in active production environments. - Develop, maintain, and improve Ruby on Rails applications supporting business-critical processes and workflows. - Work primarily within monolithic application architectures while contributing to modernization and architectural improvements. - Implement backend features, integrations, and business logic using Ruby and Ruby on Rails. - Collaborate with frontend developers to support integrated user experiences and maintain legacy frontend components where required. - Participate in the implementation of Event-Driven Design and Domain-Driven Design (DDD) principles within evolving application architectures. - Write and maintain comprehensive unit and integration tests using RSpec and/or Minitest. - Work closely with Product Owners, QA engineers, and client stakeholders to refine and implement business requirements. - Manage deployments and support delivery processes across multiple environments, including legacy on-premises infrastructure and containerized platforms. - Contribute to CI/CD processes, automation, and operational improvements using modern DevOps practices and tooling. - Support troubleshooting, debugging, performance optimization, and production stability activities. - Ensure high code quality through code reviews, testing, refactoring, and continuous improvement initiatives. Qualifications - Commercial experience as a Ruby Developer in modern web application environments. - Strong hands-on experience with Ruby on Rails and the Ruby ecosystem. - Good understanding of monolithic application architectures and backend application design. - Experience with Ruby ecosystem tools such as Bundler and RubyGems. - Strong experience writing unit and integration tests using RSpec and/or Minitest. - Practical experience with MySQL / MariaDB and Redis. - Experience working with frontend integration technologies such as NodeJS, Yarn, and Webpacker. - Basic familiarity with AngularJS or maintaining legacy frontend components. - Experience with deployment and infrastructure automation tools such as Capistrano, Ansible, and Docker. - Good understanding of CI/CD workflows and DevOps practices. - Experience with Git-based development workflows, including GitHub or Azure Repos. - Practical experience working with Azure DevOps Pipelines or similar CI/CD platforms. - Familiarity with Linux-based environments, preferably RedHat. - Basic understanding of container orchestration concepts, including Kubernetes / AKS environments. - Experience working with secure enterprise access environments and tooling. - Aware of security best practices and experience using security scanning tools such as Snyk or equivalent. - Experience managing dependencies and private packages repositories. - Understanding of SPA concepts and modern frontend development practices. - Good understanding of Event-Driven architectures and Domain-Driven Design principles. - Ability to troubleshoot and navigate across the full application stack, from database to frontend layer. - 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. Requirements - Experience modernizing legacy Ruby on Rails applications. - Experience working with enterprise-scale monolithic systems. - Knowledge of containerized and cloud-adjacent deployment environments. - Experience contributing to architectural modernization initiatives. - 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

Role Description - Maintaining and improving monitoring configurations across Datadog, Splunk, and AppDynamics. - Building and tuning alerting rules to reduce noise and improve signal quality. - Creating and maintaining SLO-based dashboards and service health reporting. - Implementing log aggregation, metric collection, and distributed tracing pipelines. - Supporting deployment and tuning of AI-powered correlation and anomaly detection agents. - Collaborating with SRE Engineering teams on observability maturity progression initiatives. - Automating monitoring onboarding for new applications. - Providing CET-timezone monitoring engineering coverage as part of the European delivery model. - Participating in capacity planning and performance trending analysis. - Documenting monitoring standards and contributing to the internal knowledge base. Qualifications - 3–5 years of experience in monitoring, observability, or AIOps engineering. - 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 Datadog, Splunk, or similar observability platforms. - Experience working with metrics, logs, and tracing pipelines using tools such as Prometheus, Grafana, ELK, or OpenTelemetry. - Understanding of SLI/SLO/SLA frameworks. - Proficiency in scripting languages such as Python or Bash for automation. - Experience with cloud-native monitoring in AWS, Azure, or GCP environments. - Knowledge of alert correlation and noise reduction techniques. - Good English communication skill (at least B2 level). - Work from the European Union region and a work permit are required. Requirements - 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 AIOps platforms or ML-based anomaly detection. - Familiarity with monitoring-as-code approaches using Terraform or Ansible. - Knowledge of distributed tracing tools such as Jaeger, Zipkin, or OpenTelemetry. - Experience in large-scale, multi-cloud environments. Recruitment Process - CV review - HR call - Technical Interview - Client Interview - Decision

Role Description We are looking for Frontend Developers to join a project delivered for our international client operating in the sustainability and ESG domain. This role is a great opportunity to work on a live production application undergoing a major modernization and migration initiative. - Develop, maintain, and improve frontend applications within the client’s internal web component ecosystem. - Support the migration of existing React-based frontend solutions into a lit-html based architecture. - Build reusable UI components and frontend features aligned with the client’s internal standards and component libraries. - Collaborate closely with backend engineers working on the migration from Python-based pipelines to Java services. - Translate business and technical requirements into clean, maintainable, and user-friendly interfaces. - Create and maintain unit, integration, and browser-based automated tests. - Ensure high code quality through testing, debugging, code reviews, and continuous improvement activities. - Work closely with frontend developers, backend engineers, QA specialists, technical leads, and internal customer stakeholders. - Contribute to frontend architecture discussions, migration planning, and modernization activities. - Support the continuous improvement of development standards, engineering practices, and delivery workflows. - Depending on seniority, take ownership of technical areas, support architectural decisions, and mentor less experienced team members. Qualifications - Commercial experience as a Frontend Developer in modern web application development. - Strong experience with JavaScript and TypeScript in frontend environments. - Good practical experience with React and component-based frontend development. - Interest in or experience with web components and modern frontend architecture patterns. - Experience working with reusable UI libraries and shared frontend components. - Practical understanding of lit-html or willingness to quickly learn and work within a lit-html based ecosystem. - Experience with unit, integration, and browser-based testing approaches and tools. - Good understanding of frontend application architecture, maintainability, and scalability. - Experience integrating frontend applications with backend services and APIs. - Solid knowledge of HTML5, CSS3, responsive web design, and browser compatibility. - Experience with Git and standard software development workflows. - Strong communication and collaboration skills in international engineering environments. - 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 with web components or lit-html based solutions. - Experience working on migration or modernization projects involving legacy frontend stacks. - Knowledge of frontend architecture patterns in enterprise-scale applications. - Experience working in complex internal platform environments. - 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