Xebia

Full-stack Engineer

• Leading development activities within a large-scale insurance project using Guidewire PolicyCenter, ClaimCenter, and BillingCenter
• Driving configuration, development, and integration tasks across multiple Guidewire modules
• Overseeing end-to-end delivery quality: assigning work, performing code reviews, ensuring adherence to best practices and coding standards

Senior Guidewire Developer – Tech Lead

Backend Engineer

• designing and evolving scalable, high-performance solutions within the AI-enhanced integrations domain
• defining and enforcing coding standards, architectural patterns, and best practices across teams
• reviewing code for quality, maintainability, and performance
• leveraging the available tech stack and tooling, including AI-assisted development tools such as GitHub Copilot
• mentoring and guiding engineers of varying experience levels, with a strong emphasis on AI-first engineering practices and integration design patterns
• encouraging thorough and consistent documentation, including AI-supported validation where applicable
• contributing hands-on to sprint goals through implementation of new features and ongoing maintenance
• evaluating emerging AI and developer-tooling technologies and advocating for their adoption
• collaborating closely with product managers, designers, and other stakeholders to translate business requirements into robust, intelligent, and automated integration solutions
• staying current with advancements in AI/LLM integration, including prompt engineering and orchestration of APIs such as OpenAI and Azure OpenAI.

Principal AI Engineer – .NET

• Work in a cross-functional team with the Product Owner, Designers and engineers to co-develop the digital products.
• Contribute across the full technology stack, from database and DevOps infrastructure that supports continuous deployment, over native apps, to front end development.
• Use Agile engineering practices and various software and web development technologies to rapidly develop creative and efficient solutions that enhance the client customer and employee experience.
• Work with other team members to craft clear user stories, design tests for prototypes and products, and continuously deliver product enhancements.
• Liaise with other teams within and outside the Digital unit to negotiate timelines, deliverables and dependencies.
• Collaborate closely with Product Owners, Designers and team members to identify and socialize product and delivery risks.
• Drive forward and role-model best practice engineering processes and Agile behavior and ensure teams members follow suit.
• Communicate with business stakeholders about Agile processes to set and manage expectations about delivery methods and timelines.
• Own and drive best practice in terms of automation such as continuous integration and deployment.

Senior/Principal Java Developer

Business Analyst

• Support the delivery and scaling of an enterprise Generative AI platform
• Run a structured intake process for new AI use cases
• Maintain a transparent backlog and prioritization
• Facilitate stand-ups, triage sessions, and dependency reviews
• Monitor platform capacity and costs

Senior Technical Business Analyst

• Migrating an enterprise mobile application from Xamarin.Forms to .NET MAUI
• Collaborating with worldwide teams co-located in Europe, the UK, Asia
• Creating architecture, system components, microservices, and DevOps solutions
• Working in an agile environment with tools such as GIT, Azure DevOps, Jira, Confluence, and Miro

Senior .NET Developer – MAUI

Solutions Engineer

• Dividing your working time into project work, consulting, and support of the pre-sales department
• Participating in various customer projects and leading migrations and modernizations of legacy software
• Preparing high-level documentation, including diagrams and ADRs
• Designing and making critical decisions regarding the solution architecture
• Leading regular discussions with customers
• Investigating new potential solutions and leading PoC projects

Cloud Solutions Architect

Data Engineer

• Developing and maintaining data pipelines to ensure seamless data flow from the Loyalty system to the data lake and data warehouse
• Collaborating with data engineers to ensure data engineering best practices are integrated into the development process
• Ensuring data integrity, consistency, and availability across all data systems
• Integrating data from various sources, including transactional databases, third-party APIs, and external data sources, into the data lake
• Implementing ETL processes to transform and load data into the data warehouse for analytics and reporting
• Working closely with cross-functional teams including Engineering, Business Analytics, Data Science and Product Management to understand data requirements and deliver solutions
• Optimizing data storage and retrieval to improve performance and scalability
• Monitoring and troubleshooting data pipelines to ensure high reliability and efficiency
• Implementing and enforcing data governance policies to ensure data security, privacy, and compliance
• Developing documentation and standards for data processes and procedures

Senior GCP Data Engineer

DevOps Engineer

• Building and supporting the tools, processes and infrastructure empowering the faster delivery and scaling of software iterations
• 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

Senior AWS DevOps Engineer, .Net

• Eliciting and analyzing the client’s business needs
• Co-creating and modeling a vision of the solution, adequate to the customer’s priorities and resources
• Specifying functional and non-functional features of the developed IT systems
• Collaborating with the development team – from the project’s beginning till the end – helping to deliver the expected solution

Senior Business Analyst – Guidewire Claim Center

Machine Learning Engineer

• collaborating with Platform Engineers to set the infrastructure required to run MLOps processes efficiently
• implementing ML workflows / automating CI/CD pipelines
• automating model deployment and implementing model monitoring
• collaborating with Platform Engineers to implement backup and disaster recovery processes for ML workflows
• collaborating with stakeholders to understand the key challenges and inefficiencies of Machine Learning project lifecycles within the company
• keeping on top of the latest trends and advancements in data engineering and machine learning

Senior MLOps Engineer

• building and maintaining production-grade backend software with a strong focus on quality, reliability, and maintainability
• developing backend features and services using Java and Spring Boot
• collaborating closely with other engineers through code reviews, design discussions, and shared ownership
• contributing to software design using established engineering principles and component-based architecture
• working in an agile environment and actively participating in team ceremonies
• supporting continuous improvement of backend development practices, tooling, and automation

Senior Java Developer

• Designing and evolving cloud platforms with a focus on Azure Cloud services
• Leading on-premises to cloud migration initiatives
• Ensuring scalability, security, and high availability
• Implementing automated deployment pipelines and infrastructure provisioning
• Driving platform security testing and ensuring compliance
• Partnering with Product, Architecture, and Software Engineering teams
• Supporting continuous improvement of operational processes