Jobs at Xebia

Designs enterprise agentic AI architectures, evaluates platforms and buy-versus-build options, develops hands-on proofs of concept, and establishes secure, observable AgentOps/LLMOps lifecycles. The role requires integrating agents with APIs, MCP, and enterprise data, incorporating governance and AI risk controls, and converting prototypes into reusable production capabilities. The architect collaborates with senior stakeholders, provides decision-ready recommendations, and transfers knowledge through documentation, walkthroughs, and pairing.

Leads large, complex software programs for international clients with end-to-end accountability for delivery, budget, governance, risks, dependencies, change management, and stakeholder alignment. Manages distributed teams and external partners, mentors Delivery Managers, builds program teams, and ensures predictable delivery across scope, timelines, and contractual commitments. Requires initial work in India and frequent international travel thereafter.

Develop and maintain scalable PHP backend applications, databases, APIs, and cloud-based microservices. Responsibilities include implementing requirements, improving products, troubleshooting, testing, documentation, QA collaboration, and writing clean code. The role involves distributed multidisciplinary teamwork, mentoring, and knowledge sharing. Candidates need strong PHP 8+, MySQL, SQL, GraphQL, object-oriented programming, SOLID principles, design patterns, and unit and integration testing experience.

Develop, maintain, and enhance applications and interfaces; analyze requirements and estimate effort; perform unit and integration testing; provide third-line support; maintain technical documentation; and work within Agile methodologies such as Scrum or SAFe. The role requires on-site work in Zurich for up to 40% of the time and collaboration in German and Swiss German.

Design and develop modern Google Cloud data platforms and end-to-end data processing solutions. Define data and application architectures, integrations, data flows, disaster recovery, retention mechanisms, CI/CD, and infrastructure-as-code practices. Select and integrate GCP services, produce architectural documentation and diagrams, facilitate architecture workshops, and communicate technical decisions to business and technical stakeholders.

Design, maintain, and improve Azure CI/CD pipelines, automated deployments, and Terraform-based infrastructure. Manage Docker and Kubernetes environments, monitoring, logging, observability, and security checks within delivery pipelines. Apply AI tools to DevOps automation, scripting, and documentation while collaborating with engineering teams in Agile environments. The role requires German and English proficiency, EU work authorization, and onsite availability in Zurich for up to 40% of the time.

Manage and improve deployment, release, and infrastructure processes across development, lab, and production environments. Design reliable cloud and on-premises solutions, maintain Infrastructure as Code, support DevOps adoption, coordinate updates, troubleshoot critical production issues, and contribute to modernization, documentation, planning, and continuous improvement. The role requires AWS, Azure Pipelines, Docker, Terraform, Ansible, CI/CD, monitoring, firewall management, and experience with cloud and air-gapped environments.

Automate and maintain Linux environments, build and deployment pipelines, virtualized and air-gapped infrastructure, and product release processes. Troubleshoot Linux systems and Java applications, configure operating systems and applications, support builds across development and release environments, and maintain technical documentation. The role requires Bash, Git, Python, Ansible, virtualization, automated installation, and practical use of AI-powered development assistants.

Supports development teams through technical guidance, solution design, CI/CD maintenance, infrastructure automation, troubleshooting, monitoring, and observability. Manages AWS, on-premises, and air-gapped environments while improving configuration processes and delivery reliability. Collaborates with engineering teams on new features, technical planning, Agile practices, and continuous improvement. Requires hands-on AWS DevOps experience and practical knowledge of Terraform, Ansible, Bash, Git, Docker, CI/CD, AWS services, monitoring tools, and firewall management.

Manage AWS cloud infrastructure, distributed services, CI/CD pipelines, containers, monitoring, security, and integrations across technical teams. Troubleshoot infrastructure and application issues, maintain services including Redis, Elasticsearch, and IBM MQ, and provide technical guidance for solution and infrastructure design. The role requires strong AWS and DevOps expertise, AI-assisted software delivery experience, effective communication, and EU work authorization.

The Senior Cloud Security Engineer assesses cloud and on-premises security, coordinates penetration testing and security scanning, identifies and remediates risks, and establishes security standards. The role drives Security by Design, strengthens Azure and hybrid-cloud practices, integrates controls into CI/CD and DevSecOps workflows, supports security governance, and contributes to organizational security roadmaps. It also requires stakeholder communication, workshop facilitation, and consulting across development and infrastructure teams.

Designs analytical and enterprise data models for Data Quality monitoring on GCP. Defines dbt Core structures, modeling standards, naming conventions, integration principles, and migration mappings. Collaborates with business analysts, data engineers, and test engineers to implement, validate, and document scalable cloud data solutions. Requires extensive data modeling experience, GCP and dbt expertise, SQL knowledge, and strong stakeholder communication.

Owns business validation for data and BI migration packages, including stakeholder mapping, scope confirmation, acceptance criteria, report consolidation decisions, demonstrations, UAT, sign-off, user adoption, and legacy decommissioning. The role coordinates business owners, data teams, BI engineers, migration pods, and program leadership while tracking risks, decisions, approvals, and go-live readiness.

Build and modernize an enterprise platform for an international rail transportation and asset-leasing company. Responsibilities include creating reusable application components, migrating business functionality, documenting rules and dependencies, integrating enterprise systems, supporting data migration, and delivering tested incremental releases. The role uses C#/.NET, React, TypeScript, PostgreSQL, AWS, Terraform, and automated testing tools in an international Scrum environment. Candidates must use AI-powered development assistants and work from the EU with a valid work permit.

Design and implement scalable distributed software using Scala and Go. Build high-throughput, event-driven systems with Kafka, AWS, Akka, and asynchronous architectures. Develop REST APIs, support production systems, contribute to CI/CD and testing, and evaluate technical trade-offs with stakeholders. The role requires collaboration across the software development lifecycle and practical use of AI-powered development assistants.

Design, develop, and maintain Android applications using Java and Kotlin. Collaborate with cross-functional teams on scalable features, contribute to architecture decisions, integrate backend services through RESTful APIs and gRPC, manage asynchronous data flows, and troubleshoot production issues. The role also involves improving performance and code quality, using AI-powered development assistants, and potentially mentoring junior developers and contributing to testing and delivery automation.

Develop and maintain C#/.NET backend applications, REST APIs, and ASP.NET Core services for an enterprise platform migration. Responsibilities include preserving business rules, integrating systems, working with PostgreSQL and Entity Framework, automated testing with xUnit and TDD, troubleshooting, and improving performance, security, and observability. The role involves Scrum collaboration with engineers and stakeholders, supporting releases and stabilization, and using AI-powered development assistants.

Design and implement scalable Java and Spring Boot solutions, microservices, and event-driven systems. Translate business needs into technical strategies, own feature delivery, and improve architecture, code quality, and engineering processes. Work with Azure, AKS/Kubernetes, Terraform, PostgreSQL, CI/CD, monitoring, and automated testing. Collaborate across teams and stakeholders while driving technical alignment and continuous improvement.

Develop and maintain a mature Java application within a large legacy codebase. Responsibilities include analyzing existing architecture, implementing new features, improving maintainability, troubleshooting issues, testing, code reviews, and collaborating in a Scrum-like team. The role requires using AI-powered development assistants, taking ownership of technical improvements, and advancing the application while preserving stability and reliability.

Develop and maintain .NET software for a platform that extracts, processes, and analyzes enterprise software and business data. The role involves complex integrations, troubleshooting, reliable solution design, testing, documentation, and collaboration with technical and non-technical stakeholders. Candidates need professional .NET experience, strong software engineering and object-oriented programming knowledge, production software experience, English communication skills, EU work authorization, and practical experience with AI-powered development assistants.