352 English-speaking jobs in Lublin Voivodeship

PwC Poland's Financial Crime Unit seeks an AML Analyst to gain knowledge in financial crime, observe procedures, perform research, analyze documentation, and work on client projects. Fluency in English, strong analytical skills, and a university degree are required. Prior experience and proficiency in other European languages are beneficial.

Mobile Test Automation Engineer to design, develop, and maintain automated test solutions for native, hybrid, and web-based mobile applications. Leverage Appium, Espresso, and XCUI Test to build and enhance mobile automation frameworks. Analyze mobile application architecture to create effective test scenarios and execute functional, regression, and end-to-end tests. Integrate automated mobile tests into CI/CD pipelines and collaborate with engineering teams to address platform-specific challenges.

Nexio Management seeks a Technical Writer to create technical documentation and training materials based on applications, mock-ups, and UML diagrams. Responsibilities include ensuring accuracy and quality of materials, reviewing project documentation, and preparing presentations. Applicants must have English proficiency at C1 level, experience writing technical documentation, and basic UML diagram comprehension.

QA Engineer needed for AEM (Adobe Experience Manager) platforms. Responsibilities include requirement analysis, test planning, manual testing, and documentation. Minimum 3 years of manual testing experience and strong Jira knowledge required. AEM experience is a plus.

Billennium seeks a computer scientist to build the data foundation for software portfolio efficiency. This role involves extracting, structuring, and analyzing data from code repositories, artifact management systems, and observability platforms. Responsibilities include implementing logic to determine relationships and enforce metadata standards across products and platform services.

Data Architect to design and maintain data models across agency, advisor, partner, and transactional domains. Responsible for Snowflake warehouse design, identity linkage strategies, and ensuring data reliability for downstream analytics tools. Requires experience with Snowflake, SQL, Azure Blob Storage, and API-driven ingestion patterns.

Leads the design and implementation of AI-driven QA frameworks for enterprise clients. Drives process innovation and automation strategies for ERP, e-commerce, and cloud native applications. Collaborates with clients and internal teams to integrate modern QA methodologies into the SDLC. Evaluates emerging QA technologies and shapes QA approaches for complex environments.

Full Stack Engineer will build and scale real-time, data-driven services using Java, Spring Boot, React, TypeScript, and AWS. Responsibilities include developing microservices, designing APIs, and delivering responsive interfaces with live updates. Must have 4+ years of backend development experience with Java, Spring Boot, and OpenAPI. Experience with WebSockets, relational databases, and cloud providers is required.

AI DevOps Engineer specializing in LLM deployment and Azure infrastructure. Designs, deploys, and manages AI/ML/GenAI systems at scale, focusing on production-ready LLMs/SLMs. Requires 5+ years of DevOps/Cloud Engineering experience, strong Azure expertise, and experience with CI/CD pipelines and Kubernetes.

Support teams and clients in delivering large infrastructure investment projects. Contribute to project planning, cost & budget reporting, and schedule monitoring. Provide support to the project management team and ensure smooth project execution.

Lead AI engineer to design, deploy, and maintain AI agents, automation workflows, and reliable AI systems. Strong MLOps, Azure, and Kubernetes experience required. Lead and mentor a small engineering team.

AI DevOps Engineer specializing in deploying LLMs/SLMs in production, building scalable Azure infrastructure, and advising stakeholders. Requires 5+ years of DevOps/Cloud Engineering experience with strong Azure expertise and experience with Terraform, Ansible, CI/CD pipelines, and Kubernetes.

Design, deploy, and manage AI/ML/GenAI systems at scale on Azure. Lead infrastructure, automation, and CI/CD pipelines for AI workloads. Provide technical guidance to stakeholders and clients.

Senior AI DevOps Engineer will architect, deploy, and scale AI/ML/GenAI systems, focusing on LLMs/SLMs in Azure cloud environments. Responsibilities include building and automating infrastructure, model lifecycle pipelines, and inference workflows. Requires 5+ years of experience in DevOps/Cloud Engineering with proven experience deploying LLMs/SLMs in production and strong Azure expertise.

Provide support and resolve tickets within SAP SuccessFactors Employee Central, analyze issues, and collaborate with IT teams. Lead minor projects, document solutions, and monitor integrations between third-party systems and SAP SF EC.

Analyze and resolve technical issues related to PwC's ITSM solution and Alteryx workflows supporting financial month-end closing processes. Prepare data models and reports in Power BI using DAX. Support gathering, analyzing, and understanding business and technical requirements. Provide 2nd-line support and resolve tickets. Configure ITSM solution using JSON files and analyze, modify, and create Alteryx workflows. Collaborate with support teams to ensure timely resolution of issues. Maintain documentation of support issues, solutions, and project changes.

Develop and maintain scalable applications integrating LLMs and STT technologies. Collaborate with cross-functional teams in an agile environment. Minimum 5 years of commercial development experience required, proficiency in TypeScript, Python, or Node.js.

Lead a development team of developers and QA, contributing to the evolution of a test automation platform using C#, .NET, and Windows technologies. Drive feature development, performance optimization, and high-quality delivery.

Senior Software Engineer to design and deliver complex system components in a high-scale, distributed environment. Requires experience with distributed systems, strong communication, and the ability to drive architectural decisions.

Data Architect will design and evolve data architectures for AI/ML workloads, including fraud detection, risk scoring, and spend optimization. Responsibilities include developing data models, pipelines, and strategies aligned with platform roadmaps. Requires 10+ years of experience in data architecture, cloud native platforms (AWS), and ML operations.