Xebia Poland

Solutions Engineer

• Dividing working time into project work, consulting, and customer project participation
• Designing new green-field projects and leading migrations and modernizations
• Actively participating in the SDLC process
• Preparing high-level documentation and solution architecture designs
• Estimating high-level cost and time to deliver projects
• Leading discussions with customers for project planning

Cloud Solutions Architect

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

DevOps Engineer

• Designing and evolving cloud platforms with a focus on Azure Cloud services
• Leading on-premises to cloud migration initiatives
• Implementing automated deployment pipelines and infrastructure provisioning solutions
• Driving platform security testing and ensuring compliance with security standards
• Partnering with Product, Architecture, and Software Engineering teams
• Contributing to platform engineering, operations, and security research
• Supporting continuous improvement of operational processes
• Aligning work with company-wide OKRs and strategic initiatives focused on cloud-native transformation.

Senior Azure DevOps Engineer, .NET

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

• 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

Business Analyst

• Support the delivery and scaling of an enterprise Generative AI platform used to build client-facing and internal AI-powered solutions
• Run a structured intake process for new AI use cases, assessing feasibility, value, and delivery readiness
• Translate business needs into well-defined epics and stories with clear acceptance criteria
• Maintain a transparent backlog and prioritization approach aligned with platform capacity and strategic goals
• Coordinate work across platform, integration, security, and business teams, facilitating stand-ups, triage sessions, dependency reviews, and release go/no-go decisions
• Maintain RAID logs, proactively remove blockers, and escalate risks early when needed
• Build and maintain a multi-quarter roadmap for the Generative AI platform, aligning IT, data/ML, architecture, risk, and business stakeholders around priorities and delivery plans
• Provide concise, executive-ready updates and decision materials
• Standardize onboarding, security, and compliance playbooks for AI use cases
• Ensure observability, operational readiness, and support runbooks are in place before go-live
• Track and support AI safety, data protection, and responsible AI requirements across initiatives
• Define and track KPIs such as time-to-pilot, time-to-production, usage, cost, and SLA adherence
• Monitor platform capacity and costs; forecast demand and manage quotas
• Build dashboards and reports that support leadership visibility and decision-making
• Drive enablement through documentation, training sessions, office hours, and communities of practice
• Capture and promote reusable patterns, reference architectures, and delivery templates
• Support AI pilots through scale-up, capturing value realization and key learnings

Senior Technical Business Analyst

Backend Engineer

• Lead the implementation of AI and code-generation tooling across a broad portfolio of products
• Design and evolve scalable, high-performance solutions within the AI-enhanced integrations domain
• Define and enforce coding standards, architectural patterns, and best practices across teams
• Review code for quality, maintainability, and performance
• Leverage the available tech stack and tooling, including AI-assisted development tools such as GitHub Copilot
• Mentor and guide engineers of varying experience levels
• Encourage thorough and consistent documentation, including AI-supported validation where applicable
• Contribute hands-on to sprint goals through implementation of new features and ongoing maintenance
• Evaluate emerging AI and developer-tooling technologies and advocate for their adoption
• Collaborate closely with product managers, designers, and other stakeholders to translate business requirements into robust, intelligent, and automated integration solutions
• Stay current with advancements in AI/LLM integration, including prompt engineering and orchestration of APIs such as OpenAI and Azure OpenAI.

Principal AI Engineer – .NET

• 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
• Participating in agile environment with tools such as GIT, Azure DevOps, Jira, Confluence, and Miro
• Participation in internal technical workshops (Upskill), guild meetings, external and organized conferences (webinars, SoftwareTalks)

Senior .NET Developer, MAUI

• Working as a Senior Python Engineer in a cross-functional team
• Owning code reviews for Python components delivered by other teams
• Ensuring high standards of quality, readability, security, and performance
• Investigating production incidents by analysing logs and metrics
• Designing and developing new backend features in Python
• Integrating with cloud services and container-orchestrated workloads
• Profiling and optimising existing services for performance
• Collaborating closely with other engineering teams
• Contributing to CI/CD pipelines, deployment automation, and observability

Senior Python Engineer

• As a Developer you will work in a cross-functional team with the Product Owner, Designers and engineers to co-develop the digital products
• Our engineers contribute across the full technology stack
• Using 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
• Working with other team members to craft clear user stories, design tests for prototypes and products,
• Continuously deliver product enhancements
• Liaising with other teams within and outside the Digital unit to negotiate timelines, deliverables and dependencies
• Collaborating closely with Product Owners, Designers and team members to identify and socialize product and delivery risks
• Driving forward and role-model best practice engineering processes and Agile behavior and ensuring teams members follow suit
• Communicating with business stakeholders about Agile processes to set and manage expectations about delivery methods and timelines
• Owning and drive best practice in terms of automation such as continuous integration and deployment

Senior/Principal Java Developer

• 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, especially models and experiments
• 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

• Designing and evolving cloud platforms with a focus on Azure Cloud services
• Leading on-premises to cloud migration initiatives
• Implementing automated deployment pipelines
• Partnering with Product, Architecture, and Software Engineering teams to deliver secure SaaS products
• Supporting continuous improvement of operational processes