4818 English-speaking jobs in Lower Silesian Voivodeship

Contribute to the design and development of full-stack solutions using .NET, Azure, OpenShift, and Angular (v18) + TypeScript. Modernize legacy platforms and collaborate with product managers, architects, and business stakeholders.

Senior AI Engineer to design, develop, and deploy Agentic AI solutions using platforms like Azure OpenAI Services. Build AI agents, orchestrate workflows, and implement robust evaluation and safety mechanisms. Collaborate in agile teams to deliver end-to-end AI systems.

HR Consultant to lead the implementation of a Time & Attendance system, integrating with Workday and external payroll providers. Requires experience in HRIS or Time & Attendance system implementations, strong project management skills, and stakeholder management.

Functional/solution lead for WalkMe platform delivery. Designs, validates, and delivers in-app guidance to drive user adoption across enterprise systems. Requires 5+ years in digital adoption, UX, business analysis, or enterprise application enablement roles with 3+ years hands-on WalkMe experience.

The Process & Solution Key User supports process/solution development, improvements, and implementation within Order to Cash. Responsibilities include bringing user needs to the Business Process Developer, analyzing business issues, collecting and prioritizing change requests, and providing end-user support.

Supports SAP S/4 functionalities within the FI/CO module and its interfaces. Develops forms within FI/CO and participates in rollouts and upgrade projects. Documents template processes and maintains in-house developments. Collaborates with external service providers and ensures compliance with Service Level Agreements.

Senior Data Engineer with 5+ years of experience in DWH and ETL development. Expertise in Cloud DWH solutions, Snowflake, RDBMS (MSSQL preferred), and SQL querying (T-SQL preferred). Experience with VCS (Git, SVN) and intermediate English skills required.

Leads complex products from ideation to launch, coordinating with Product and Engineering teams. Manages projects using Confluence and Jira, ensuring accurate reporting and stakeholder visibility. Develops project plans, manages deadlines, and resolves issues.

Design, develop, and maintain backend services using Kotlin and Spring Boot. Build and evolve microservices with asynchronous communication patterns. Implement and integrate event-driven solutions using Apache Kafka.

Provides export control guidance to country management and business functions. Implements and maintains the Export Control Internal Control Program, ensuring compliance with national and international regulations. Evaluates business transactions and risks, manages export control tools, and represents the company in audits and interactions with authorities.

Software Performance Engineer will design, execute, and analyze performance tests for critical projects and applications. Responsibilities include developing performance test scripts, integrating performance testing into CI/CD pipelines, and utilizing monitoring tools to analyze performance test results.

Senior Java Software Engineer will develop, maintain, and quality-assure Java-based applications, design and implement REST APIs, and contribute to cloud-native and DevSecOps practices. Requires minimum 6 years of experience as a Software Developer, senior-level Java (Java 21), Spring Boot 3, JPA/Spring Data/SQL, MQ, JMS, Kafka, REST APIs, Maven, PostgreSQL, OpenShift, Docker, GitHub Actions, Liquibase, UML modeling, unit, integration testing, and mocking. Fluent English required.

Principal Java Software Engineer with 15+ years of experience designing and building scalable, secure, and resilient cloud solutions. Expertise in microservices, monolithic, and event-driven architectures. Strong communication and leadership skills to collaborate with product teams and drive architectural standards.

Lead and standardize the client applications ecosystem across desktop, mobile, and web platforms. Define API contracts, integration models, and technical strategy for client-side architecture. Act as the client-side representative in backend and platform discussions. Mentor engineers across iOS, Android, desktop, and web platforms.

Lead and contribute to Canonical's Visual Design practice, supporting brand and site experiences. This hands-on leadership role involves applying and evolving design guidelines, leading projects ranging from marketing assets to UI design, and collaborating with design systems and the sites team.

Canonical seeks Performance Engineers to drive software performance, correctness, and efficiency across its open source platform, Ubuntu. Roles exist in every engineering team, focusing on areas like kernel, server, desktop applications, and web. Performance Engineers will collaborate globally, develop shared tools, and mentor teams to improve performance culture and design.

Software Engineer for Distributed Systems Testing will develop automated testing approaches and infrastructure for validating reliability, performance, and resilience of cloud orchestration tools and applications.

Azure Data Architect needed for automotive client. Requires expertise in Azure Analytics, Agile/SAFe methodology, and technologies like Databricks, ADLS, SQL DB, Python, and Spark. Experience in defining scalable data architectures, data governance, and collaborating with cross-functional teams is essential.

Java Software Engineer will work on a core solution, implementing new functionality and improving existing components. Requires a Bachelor's degree, 5+ years of experience designing and developing complex software applications in Java (OpenJDK 21), and proficiency in Spring, Hibernate, PostgreSQL, and RESTful APIs. Familiarity with DICOM standards and .NET is beneficial.

Designs, develops, and deploys advanced generative AI models, including large language models (LLMs). Oversees the end-to-end data science lifecycle, from data acquisition and preprocessing to model validation and optimization. Works on developing and deploying machine learning algorithms, ensuring models are optimized for performance and scalability. Mentors junior data scientists and partners with cross-functional teams to integrate AI-driven insights into products and services.