Jobs at Xebia

Design and develop production-grade full-stack applications using TypeScript, JavaScript, React, and Node.js or Deno. Provide technical leadership, establish engineering standards, integrate APIs and SaaS platforms, and contribute to secure, reliable, observable production systems. Mentor engineers, collaborate across product and platform teams, support CI/CD and testing practices, and evaluate emerging and AI-assisted development technologies.

Owns and prioritizes product requirements for a Retail Pricing development team. Translates business and user needs into requirements, user stories, acceptance criteria, product goals, metrics, and roadmaps. Leads product discovery, stakeholder meetings, sprint planning, refinement, and reviews while supporting delivery and adoption. Requires strong product ownership, technical understanding, communication, and AI-assistant experience, with EU-based work authorization.

Build scalable, high-performing LLM capabilities, platforms, and APIs integrated into business workflows. Develop modern web and server-side solutions using Python, MLOps, GSP, and infrastructure as code. Collaborate across the full delivery lifecycle, apply AI-powered development assistants, and explore structured GenAI workflows, agent-based automation, and emerging AI-driven software development practices.

Analyze digital sales, customer behavior, and online performance data. Query and prepare datasets from multiple sources, build Power BI dashboards, define KPIs, identify trends and anomalies, and recommend improvements to digital sales and webshop performance. Translate business questions into actionable insights and communicate findings to stakeholders.

Coordinate QA activities for a large Salesforce project, including test planning, functional, regression, integration, and end-to-end testing. Manage quality gates, test evidence, documentation, defect lifecycles, triage, stakeholder communication, release readiness, and customer acceptance processes. The role also drives QA governance and process improvements while coordinating internal teams and external testing providers. Italian fluency, EU location, work authorization, and experience with AI-powered development assistants are required.

Manage and configure applications on an existing Kubernetes platform, using Docker, Helm, Azure DevOps, and Terraform. Deploy and maintain microservices, configure service parameters and dependencies, support CI/CD pipelines, and stabilize environments. Collaborate with development and architecture teams on banking, Salesforce, and legacy-system integrations. Diagnose configuration issues, propose practical solutions, and apply AI-powered development assistants. Italian language proficiency and EU work authorization are required.

Migrate Azure DevOps repositories and pipelines to GitHub Enterprise Server, GitHub Enterprise Cloud, and GitHub Actions. Troubleshoot and remediate workflow issues, optimize CI/CD processes, validate migrations with engineering teams, administer repositories, document solutions, and support teams transitioning to GitHub-based development and delivery.

Develop and maintain Java and Spring Boot backend services, REST APIs, microservices, and enterprise integrations across Azure, Salesforce, and MuleSoft. Build event-driven solutions using Azure Event Hub or Kafka, manage customer data in Azure SQL, and deploy services with Docker and Kubernetes. Contribute to API documentation, testing, code quality, and continuous delivery while using AI-powered development assistants and exploring structured GenAI practices.

Develop and maintain Java and Spring Boot backend integration services using XML, MuleSoft, Azure services, microservices, and event-driven architecture. Implement resilient integration patterns, CI/CD pipelines, and containerized deployments with Docker and Kubernetes. Troubleshoot production issues and support reliable service operations while applying AI-powered development assistants. The role requires 7+ years of Java backend experience and work authorization in the European Union.

Own end-to-end architecture for Azure-based integration solutions connecting Salesforce, microservices, MuleSoft, banking, and legacy platforms. Design API-first and event-driven architectures, cloud-native Azure solutions, security models, non-functional requirements, and disaster recovery strategies. Present designs to stakeholders, govern architecture changes, lead reviews, manage technical risks, and influence cross-team decisions. Requires strong Azure integration expertise, AI-assisted software delivery experience, and English and Italian proficiency.

Prepare and execute backend, API, and integration test cases; test Salesforce integrations, file generation, event flows, Bulk API round-trips, SEDA, Elliot, and AKS-based systems. Maintain test data and environments, troubleshoot issues, analyze results, report defects, and collaborate with developers, business analysts, and QA engineers. Italian proficiency at B2+ and English communication skills are required, along with quarterly availability to work from Milan.

Owns the development, validation, and continuous improvement of AI-powered analytics solutions, including Talk2Data and agent-ready data. Defines analytical requirements, evaluation metrics, quality frameworks, and data models; validates large datasets and AI outputs; collaborates with data engineers and business stakeholders; supports governance, deployment, enablement, and proof-of-concept initiatives; and evaluates AI tools and integrations.

Own financial controlling for service lines, including management reporting, budgeting, forecasting, variance analysis, profitability, utilization, margin, cash flow, and working capital reporting. Build Excel and BI dashboards, support month-end close, track KPIs, improve reporting processes, and help implement financial systems. The role partners with Accounting, regional and Group leadership, and business teams while delivering actionable analyses and process improvements.

Develop and maintain high-availability frontend solutions using React, TypeScript, JavaScript, and microservices. Design new projects, improve customer experience and platform architecture, apply data-driven experimentation and A/B testing, and troubleshoot performance and browser compatibility issues. Mentor developers, strengthen coding and testing practices, and collaborate with product teams, stakeholders, and external partners. The role also involves using AI-powered development assistants and contributing to CI/CD and cloud-based delivery.

Design and develop an AI-powered analytics agent in Devin, integrating GitHub, dbt, Databricks, Snowflake, and data ingestion systems. Adapt dbt workloads for Databricks, resolve platform compatibility issues, build and test agent capabilities, and implement guardrails, validation, observability, security, and reliable AI-assisted workflows. Collaborate with client engineering teams, troubleshoot integrations, document the solution, and prepare knowledge-transfer materials.

Validate migrated and reporting data across source and target systems, with emphasis on SQL-based reconciliation, data quality checks, ETL/ELT validation, discrepancy analysis, and root-cause investigation. Define test scenarios, validate dashboards and KPIs, document defects, and collaborate with Data Engineers and stakeholders. The role also involves testing structured and semi-structured data, profiling datasets, using Python for automation, and supporting modern cloud data-platform delivery.

Designs and implements automation for incidents, service requests, and operational workflows. Builds Infrastructure-as-Code and deployment automation, improves monitoring and alerting, contributes to self-healing and auto-remediation, and applies software engineering practices. Collaborates with Platform Operations, SRE, and Service Management teams while developing reusable automation frameworks and mentoring engineers. Requires cloud, Kubernetes, CI/CD, observability, Python, and AI-assisted development experience.

Design and build responsive native iOS applications using SwiftUI and UIKit. Implement secure OAuth/OIDC authentication, token exchanges, networking, and integrations with external web services. Optimize performance, stability, memory usage, and quality while developing unit and end-to-end tests. Participate in code reviews, TDD, App Store releases, and modern AI-assisted software delivery.

Serve as the senior technical authority for Salesforce AMS, leading architecture, governance, L3 escalations, root-cause analysis, technical-debt remediation, code reviews, integrations, and scalable solution design. Provide technical leadership across Apex, Flow, LWC/Aura, APIs, and Salesforce security. The role requires Salesforce architect-level expertise, AI assistant experience, strong governance and support skills, Italian and English proficiency, and availability to work from the Milan office two days weekly.

Lead the end-to-end design, development, deployment, and maintenance of production AI and machine learning solutions. Define architecture standards, technical strategy, MLOps practices, governance, responsible AI controls, and AI Act compliance. Build and monitor models, advise stakeholders, troubleshoot production systems, and mentor engineers. The role also supports Generative AI, LLM applications, document processing, RAG, and scalable cloud-based ML platforms.