2384 English-speaking jobs in Lower Silesian Voivodeship

Senior .NET Developer to design, develop, and enhance scalable digital products and technology services using .NET 6 and Azure cloud technologies.

QA Automation Engineer needed for growing team. Design, develop, and execute functional and automation test cases using Playwright and C#. Collaborate with developers and product owners to build scalable test automation frameworks.

Prototype Engineer (PoC Builder) will turn business ideas into working prototypes, supporting client-ready solutions. Experience in solution engineering, software development, or architecture is required.

Data Engineer to develop and maintain data pipelines for a price adjustment calculation system. Responsibilities include designing, building, and maintaining pipelines using SQL and DBT, incorporating business logic, ensuring data quality, and optimizing pipeline performance.

Addepto seeks a Senior AI Engineer with 5+ years of Python experience to develop scalable AI systems, including LLMs and GenAI. Responsibilities include transforming prototypes into production solutions, building backend components, and ensuring code quality. Experience with LLM usage data analysis, optimization, and cloud environments (GCP) is required.

Addepto seeks a Data Engineer to design, develop, and maintain scalable data pipelines and analytics solutions in GCP. Responsibilities include building solutions for collecting, processing, and analyzing LLM token usage data, optimizing BigQuery datasets, and collaborating with cross-functional teams.

The ML Platform Reliability & Infrastructure Engineer will design, implement, and optimize the infrastructure for an AI-driven drug discovery platform. Responsibilities include profiling and optimizing model serving runtimes, implementing observability across the platform, hardening Kubernetes workloads, and improving the resilience of asynchronous job pipelines.

AI Scientist will design and deliver AI solutions for drug discovery and early drug development. Responsibilities include building and deploying production-ready AI systems, applying Graph ML to biomedical problems, and collaborating with scientific teams.

Develop and maintain data ingestion pipelines, onboard new data sources, and contribute to the Azure-based data platform. Solid understanding of data pipeline design, development, and maintenance is required. Experience with Databricks and monitoring/orchestration tools is essential. Strong communication skills in English are necessary.

Designs, builds, and maintains cloud platform solutions using GCP. Develops and manages Infrastructure as Code (Terraform) for scalable environments. Builds and enhances CI/CD pipelines and supports migration activities.

Designs, builds, and maintains scalable data pipelines on GCP. Develops and optimizes data models using BigQuery and dbt. Builds and manages real-time and batch data processing using Kafka. Ensures data quality and reliability across pipelines. Collaborates with Data Architects, Platform Engineers, and Analytics teams.

Senior Network Operations Engineer resolves complex customer cases involving satellite ground network performance, routing anomalies, or connectivity degradation. Provides technical guidance during high-severity incidents and performs root cause analysis. Must demonstrate SME-level proficiency in either Satellite/RF or Network/ISP domains. Requires 5+ years of experience in technical support or operations with a focus on system troubleshooting and direct customer engagement. Multilingual support in English (B2) and/or French/Spanish/German is required.

Movate seeks a GenAI Enablement Lead to drive the adoption and integration of Generative AI technologies across the engineering organization. This role will develop and execute a strategy for GenAI enablement, identify use cases, define roadmaps, and build prototypes and integrations. The ideal candidate will have 5+ years of experience in software engineering, developer tooling, or platform teams with hands-on experience with LLMs or GenAI tools in a production or enterprise setting.

Design and deliver AI solutions for Life Sciences and Pharma. Contribute to AI-driven drug discovery and early drug development. Build and deploy production-ready AI systems, agents, and scientific workflows. Apply Graph ML, knowledge graphs, and network biology approaches to biomedical problems. Develop AI solutions for molecular modeling, biologics, and small molecule discovery.

Full Stack Software Engineer needed to develop and maintain scalable, enterprise-grade systems. Requires strong Go, Java, JavaScript, and TypeScript skills, experience with RESTful APIs, and a passion for AI-driven solutions. Must have experience with AWS AI solutions and a customer-centric approach.

Data Analyst needed for a 6-9 month contract with potential extension. Collaborate with cross-functional teams to define, document, and communicate data platform requirements. Translate business needs into technical requirements and support the full requirements lifecycle. Strong analytical, communication, and Python skills are required. Experience with AWS services and data visualization tools is a plus.

Microsoft 365 Administrator needed to manage the M365 environment, provide user support, and handle backups. Experience with Exchange Online, Teams, SharePoint, Entra ID, Power Platform, and Microsoft Fabric required. Strong PowerShell skills and troubleshooting abilities are essential.

Senior DevOps engineer to design, implement, and maintain containerized platforms in secure, on-premises air-gapped environments. Responsibilities include managing Docker and Kubernetes, administering OpenShift clusters, and troubleshooting platform issues. Requires strong Linux administration, container orchestration, and OpenShift experience.

Manual QA Tester for mobile applications in Flutter. Experience with AI tools like ChatGPT, Claude, or Perplexity required. 5+ years of mobile testing experience and understanding of IoT solutions necessary.

Shape user experience for Neo, Capgemini's AI platform. Coordinate end-to-end UX delivery, ensuring designs are consistent, intuitive, and ready for implementation across conversational and non-conversational experiences. Translate complex AI use cases into clear user journeys and ensure high-quality, trustworthy interactions.