Jobs at Xebia

Xebia seeks qualified IT candidates for various positions including Developers, DevOps, Testers, Project Managers, Designers, and roles in HR, Marketing, Accounting, or Management. English fluency is essential.

You will build and support tools and infrastructure for faster software delivery, ensuring application reliability and metrics monitoring.

The role involves designing, developing, and maintaining iOS applications, collaborating with teams, improving app architecture and performance, and troubleshooting issues.

The Product Manager will define product direction, manage the roadmap, prioritize requirements, and collaborate with stakeholders to ensure business value in a new ERP system for the logistics sector.

The role involves developing and maintaining Magento 2 storefronts, integrating with external platforms, managing CI/CD pipelines, and ensuring compliance with security standards.

The Data Engineer will build and optimize data pipelines, integrate data sources, enhance analytics platforms, and collaborate with teams to deliver data solutions.

Develop and enhance Java and Kotlin microservices, REST APIs, backend mocks, and React web components. Build purchase and registration flows, integrate external partner systems, and contribute across frontend and backend development. Collaborate with teams to deliver features and improve technical solutions. The role requires commercial software development experience, strong Java/Kotlin and React skills, REST and JSON knowledge, AI-assisted development experience, English and Polish proficiency, and occasional Warsaw office visits.

Own and improve AI-powered analytics capabilities, including Talk2Data, evaluation frameworks, data quality validation, and AI output governance. Translate business needs into analytical requirements, collaborate with data and product stakeholders, support cloud data platforms, lead AI proofs of concept, diagnose tooling integrations, and drive organizational adoption through enablement sessions and documentation.

Defines analytical approaches, owns functional analysis, documents requirements, facilitates stakeholder workshops, and ensures business needs align with technically feasible Salesforce solutions. The role supports complex international IT projects across the full software development lifecycle, coordinates dependencies across workstreams, manages requirements for SEPA Direct Debit and mandate processes, and validates scope and test cases. It requires fluent Italian and English, strong Salesforce expertise, business analysis experience, and practical use of AI-powered productivity tools.

Build and deploy data products on an AWS data mesh platform, onboard data from legacy warehouses, and develop streaming and batch pipelines using Flink, SQL, Python, Kafka, Iceberg, and DynamoDB. Collaborate with product engineering teams on data contracts, ownership, documentation, and platform adoption. Provide hands-on enablement, debugging support, technical guidance, and leadership for end-to-end initiatives.

Design, build, and maintain cloud-native AI platforms and infrastructure; develop, deploy, and optimize AI agents and agentic runtimes; enable teams with AI-assisted development and automation; collaborate with engineers and AI specialists to deliver scalable, secure, production-ready AI solutions.

Coordinates QA activities across complex Salesforce delivery projects, serving as the primary quality contact among internal teams, customers, and external testing providers. Manages quality gates, test evidence, deliverable registers, defect lifecycles, triage, risk analysis, release readiness, and audit documentation. Communicates quality status and blockers to stakeholders while improving governance and testing processes. Requires experience with Salesforce testing, Jira, static analysis tools, SDLC, and AI-powered software delivery assistants.

Lead two complex, security-sensitive migration workstreams involving AWS/VDI-based access and Entra ID identity modernization. Own program structure, integrated roadmaps, dependencies, risks, governance, readiness, rollout, communications, and executive reporting. Coordinate engineering, security, identity, infrastructure, business, and external teams; challenge technical plans, resolve blockers, and drive decisions through execution and closure.

Lead SEO and product analytics to measure organic growth, build dashboards and automated reports, run and evaluate SEO experiments, quantify business impact of search opportunities, and translate insights into product recommendations to support roadmap decisions.

Design and deploy production-grade AI solutions to improve automotive inventory discoverability, generate scalable vehicle content, cluster search intent, optimize ranking signals, identify high-potential inventory combinations, measure impact via experimentation, and collaborate with product and engineering teams to operationalize SEO and GEO initiatives.

Design and maintain CI/CD, repository governance, secrets and access management, observability, and deployment automation for .NET-based AI agents. Collaborate with AI engineers using Claude/OpenAI, ensure security, compliance (GDPR), operational readiness, and support multiple development teams to move AI agent solutions into production.

Develop, maintain, and modernize Ruby on Rails applications within mainly monolithic architectures. Implement backend features, integrations, and business logic; write RSpec/Minitest tests; support CI/CD, deployments, and DevOps automation; collaborate with product, QA, and frontend teams; troubleshoot performance and production issues; apply Event-Driven and Domain-Driven design principles.

Lead analytical approach and requirements for large, complex IT projects across SDLC. Align product roadmaps with business priorities, engage stakeholders, collaborate with UX, architects, and developers, manage dependencies and analytical complexity, and apply AI-assisted tools to improve delivery.

Provide hands-on Apache Airflow engineering and customer enablement: develop and troubleshoot DAGs, integrate Airflow with data ecosystems and cloud services, support production onboarding, resolve distributed system issues, deliver technical guidance and workshops, and collaborate with customers and internal teams to stabilize and operate a managed Airflow platform.

Design, build, and maintain backend platforms using PHP and Python; develop REST APIs and integrations; design data import and processing pipelines; work with PostgreSQL/SQL; contribute to data collection and web scraping; collaborate with Product, Commercial, Finance, and Engineering teams in Agile sprints; improve architecture and code quality.