148 English-speaking jobs in Lublin Voivodeship

Senior Test Automation Engineer leads testing processes, implements testing standards, and collaborates with stakeholders throughout the SDLC. Requires 3-7 years of experience in test automation, including designing, building, and maintaining test frameworks. Strong programming skills (Java preferred) and experience integrating automated tests with test management tools are essential.

Designs and architects scalable GenAI solutions for enterprise projects using Azure AI Foundry and AWS Bedrock, with a focus on AI agents. Develops architecture and integration concepts for enterprise AI applications and translates business needs into secure cloud architectures. Collaborates with stakeholders and project teams throughout the project lifecycle.

Design and implement Salesforce Marketing Cloud solutions, managing administration, release management, and change management processes. Develop marketing functionalities using AMPscript, Content Builder, SQL, Email Studio, Automation Studio, Landing pages, Journey Builder, and Twilio. Collaborate with cross-functional teams to implement marketing strategies.

Senior Fullstack Engineer to develop scalable, event-driven systems for royalty financial settlements. Responsibilities include backend development in TypeScript and Scala, frontend development with React and Next.js, and infrastructure as code using Pulumi. Requires 5+ years of experience as a Fullstack Developer with expertise in TypeScript, Scala, React, Next.js, and cloud-native solutions.

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible.

Senior Lead Engineer for Neo Enterprise will drive the technical delivery of AI-powered capabilities across frontend, backend, and integration layers. Responsibilities include leading the design and implementation of scalable frontend solutions, developing backend services, integrating AI/LLM solutions, and collaborating with cross-functional teams.

Senior Data Scientist to develop predictive models and quantitative analytics for risk-based vulnerability prioritization within a large-scale enterprise security program. Requires 6+ years of data science experience in cybersecurity, vulnerability management, or financial risk models.

Senior Data Scientist to develop predictive models and quantitative analytics for risk-based vulnerability prioritization within a large-scale enterprise security program.

Designs and ensures a comprehensive architectural vision across business, information, systems, and technology domains, with a focus on Microsoft Azure. Translates business needs into scalable, secure, and efficient cloud solutions. Collaborates with stakeholders and technical teams to align cloud architecture with business objectives.

Develop and maintain Kotlin microservices for a modern fintech platform. Collaborate with teams to deliver solutions across various domains.

Data Engineer will build and launch data pipelines and models in Azure cloud environments. Collaborate with clients, implement best practices, and optimize analytical solutions.

Lead Data Architect to design and evolve healthcare data architecture, lead database modernization, and define interoperability strategy using HL7 and FHIR. Requires 7+ years of experience in data engineering, architecture, or solution architecture with strong SQL Server and PostgreSQL experience.

SAP Consultant specializing in BI technologies such as SAP Business Objects, SAP BW, SAP Datasphere, SAP HANA, or SAP Analytics Cloud. Designs, develops, and implements data solutions, including ETL processes, data models, and interactive dashboards. Requires advanced SQL knowledge and strong customer-facing communication skills.

System Analyst needed for a project developing a micro-frontend solution to streamline processes and improve user access to services. Responsibilities include analyzing APIs, documenting requirements, modeling domain areas, and leading AI discovery phases. Must have 4+ years of experience as a System Analyst, experience in AI/LLM domain, and experience with API integrations and event-driven architectures.

Senior Microsoft Dynamics NAV Support Consultant needed for a full-time position. The successful candidate will provide support for critical customer tickets and resolutions. Requires 8 years of Microsoft Dynamics NAV support experience and experience troubleshooting and supporting bidirectional integrations between SAP and NAV.

Experienced Frontend Engineer to lead the evolution of frontend frameworks for digital draw games. Build and optimize systems using React, TypeScript, and Vite. Implement robust client-server interactions and translate gameplay flows into scalable implementations.

Kotlin Developer will design, build, and maintain scalable microservices for a modern fintech platform. Collaborate with cross-functional teams to develop innovative solutions and analyze system performance. Requires 5+ years of software development experience, expertise in Kotlin, distributed systems, and cloud environments.

Designs enterprise-grade AI solutions using Azure OpenAI, Azure AI Services, and Azure Machine Learning. Leads cloud and AI transformation initiatives focused on business outcomes. Integrates AI solutions with business platforms and external systems. Drives automation using Terraform, Bicep, ARM templates, and CI/CD pipelines. Translates business needs into technical roadmaps and presents solutions to executive stakeholders. Mentors architects and engineers. Supports pre-sales activities, solution proposals, estimations, and technical strategy.

Senior System Administrator to lead IT projects, oversee complex infrastructure, and develop system standards. Requires advanced expertise in Microsoft technologies (Windows Server, Azure, Office 365, Intune), cloud services, directory services, virtualization, and automation scripting.

Site Reliability Engineer for AI infrastructure. Builds and maintains observability, automates operations, integrates AI workloads into incident management, and collaborates with engineering teams on reliability and deployment readiness. Requires expertise in SRE, Kubernetes, observability tools, and automation scripting.