Jobs at Xebia

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.

Design, implement and maintain test automation frameworks and backend tests using Playwright and TypeScript/JavaScript. Integrate automated tests into CI/CD pipelines (Azure DevOps), design test scenarios, mentor junior testers, apply contract testing, and leverage AI assistants to improve productivity and quality.

The Senior GO Developer will develop and maintain backend services and APIs using Go, design data models, ensure code quality, and work within cross-functional agile teams while prioritizing performance and multi-tenancy.

Lead architecture and hands-on development of an AI-native underwriting platform. Design scalable backend services in Python, integrate with React/TypeScript frontends, promote engineering standards, implement observability and security, and use AI-assisted development tools to improve productivity while mentoring the team and driving the platform from MVP to production.

Design and implement production-grade machine learning components for a next-generation bidder engine in AdTech. Collaborate with software engineers and architects to integrate ML into real-time bidding systems, replace rule-based logic with ML-driven decisioning, optimize performance, support deployment and monitoring, participate in architecture and design reviews, and mentor peers while driving operational excellence.

Act as a senior ML advisor mentoring engineering teams: review BigQuery ML implementations, guide model selection, training, validation, evaluation, and deployment; teach ML fundamentals and metrics; recommend governance, standards, and operational improvements; provide on-demand technical consultations to raise ML maturity across multiple teams.

Lead design, development, testing, and maintenance of enterprise-grade backend services and APIs in a microservices architecture. Drive technical ownership, mentor developers, apply TDD/BDD and CI/CD practices, troubleshoot complex issues, and contribute to platform architecture and continuous improvement.

Lead design and delivery of backend features using Java and Spring Boot, mentor engineers, improve engineering practices, and collaborate with teams for scalable solutions.

Design, build, and maintain scalable data pipelines and ELT/ETL processes on GCP (BigQuery). Handle ingestion, transformation, orchestration, monitoring, performance tuning, and delivery of production-grade data products. Collaborate with analytics engineers, architects, and stakeholders to ensure migration success and long-term platform sustainability.

Design, develop, and enhance Scala backend services for large-scale applications. Optimize performance, troubleshoot production issues, collaborate with cross-functional teams, mentor engineers, and improve engineering practices and code quality.

Ensure reliability, availability, and automation of cloud-native services on Azure. Maintain and troubleshoot production Kubernetes environments, integrate Keycloak and IAM protocols (OIDC/SAML), collaborate with engineering teams, and apply DevOps/SRE practices to deliver scalable solutions.

Design, develop, and optimize scalable Scala backend services; lead performance tuning and issue resolution across large systems; collaborate with cross-functional teams; drive engineering best practices; mentor and onboard engineers; leverage AI-assisted tools to improve software delivery.

Lead design, evaluation, and productionization of deep learning models (CTR/CVR/RoAS), design scalable low-latency model architectures, collaborate with engineering and business stakeholders, provide technical leadership and QA for data science workstreams, and mentor team members.

Lead analytical strategy for ML Scoring product questions, translate hypotheses into analytical frameworks, design experimentation, build decision-quality analytics layers, govern KPIs, and deliver recommendations to senior stakeholders.

Manual QA engineer responsible for designing and executing test cases, performing API and database validation, reporting defects in Azure DevOps, and collaborating with cross-functional teams to ensure web application quality. Participate in test planning, execute functional/regression/integration/exploratory tests, and support continuous improvement in a remote, retail-focused project.

Design, build, and operate an Azure-based cloud-native platform: implement PaaS infrastructure, IaC, CI/CD pipelines, containerized deployments, observability, security and compliance automation, and support engineering teams for reliable, scalable delivery. Mentor peers and contribute to architecture, troubleshooting, and continuous improvement.

Design and develop scalable .NET applications and APIs, modernize legacy systems and migrate to modern web stacks, leverage Agentic AI and AI-assisted tools to accelerate delivery, collaborate with cross-functional teams, and apply cloud, architecture, and DevOps/CI/CD practices for production-ready solutions.

As a Middle GO Developer, you will design and maintain backend services, build REST APIs, and collaborate with teams all while ensuring code quality and utilizing Docker and AI tools for productivity.

Responsible for developing and customizing frontend components in Magento 2, integrating with backend systems, ensuring accessibility, collaborating on technical solutions, and optimizing frontend performance.

As a Magento Developer, you will develop backend solutions on Magento 2, implement custom modules, work with APIs, ensure code quality, and optimize e-commerce platform performance.