192 English-speaking jobs in Lublin Voivodeship

DevOps Engineer to design, build, and operate scalable cloud-native systems on AWS. Focus on infrastructure as code (Terraform), serverless and containerized environments, and system observability. Requires experience with AWS services, Terraform, Linux, monitoring tools, Python scripting, and Agile processes.

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.

Senior Solution Architect with 7+ years of experience designing enterprise applications using Java and AWS services. Leads the design of scalable, secure solutions, collaborates with stakeholders, and guides development teams on best practices.

Data Engineer to design, build, and deploy DBT Cloud models and Airflow jobs. Experience required in DBT Core/Cloud, Snowflake, Airflow, Python, and software engineering practices.

Develop and maintain Flutter applications, implement new features, and optimize performance. Collaborate with teams, participate in code reviews, and troubleshoot issues. Strong OOP knowledge, Flutter (Dart), Git, and problem-solving skills are required.

Lead AI DevOps Engineer responsible for architecting, deploying, and scaling AI/ML/GenAI systems (LLMs/SLMs) in production Azure environments. Requires 5+ years of experience in DevOps/Cloud Engineering with proven hands-on experience deploying LLMs/SLMs in production. Strong Azure expertise, scripting (Python + Bash/PowerShell), IaC (Terraform/Ansible), and CI/CD pipelines are essential.

Designs and develops cloud Landing Zone architectures, implements security and governance solutions, and optimizes cloud performance and scalability. Collaborates with development teams to integrate Landing Zone solutions. Analyzes cloud requirements and proposes solutions. Minimum 3 years of experience in a similar role required. Proficiency in cloud technologies (AWS, Azure, Google Cloud), programming (Python), and cloud security and governance practices.

Data Architect needed to lead data storage strategy and design for a multi-product SaaS platform. Requires strong knowledge of AWS OpenSearch/Elasticsearch, relational and NoSQL databases, and cloud technologies. Experience with SaaS, multi-tenant environments, and operational excellence is essential.

Maintain and execute automated regression tests for SPA1 and SPA2, analyzing test results and creating defect reports. Monitor product health in master and release branches.

Senior ML/AI Engineer will design, implement, and deploy GenAI/LLM-based solutions and production-grade ML models. Responsibilities include building and managing data pipelines, ML lifecycle systems, and MLOps/LLMOps frameworks. The ideal candidate has 5+ years of experience in Data Engineering, Backend, or ML Engineering with a strong understanding of cloud platforms (Azure or GCP) and MLOps/LLMOps tools.

Lead the technical development of a cellular IoT security product. Responsibilities include design, documentation, implementation, and team oversight. Requires 7-12 years of software development experience, strong Java skills, database knowledge, and IP networking expertise. Cloud services and containerization experience are preferred.

Junior SAP BPC Planning Specialist will design and develop planning solutions with SAP BPC, focusing on building effective and efficient planning models. Collaborate with cross-functional teams and utilize foundational knowledge of SAP Finance and Controlling modules.

Senior ML/AI Engineer will design, implement, and deploy GenAI/LLM solutions and production-grade ML models. Responsibilities include building and managing data pipelines, ML lifecycle systems, and MLOps/LLMOps frameworks. Strong Python, Databricks, Spark/PySpark, and cloud (Azure or GCP) experience required.

Senior Data Analytics Consultant will analyze large-scale real-time data from diverse InPost Group systems. Responsibilities include supporting stakeholders with data-driven decisions, gathering requirements, analyzing data, and preparing insights and recommendations. Strong Python/PySpark, SQL, and Bash scripting skills are required.

Capgemini seeks a SIAM Consultant with English and German fluency to build customer relationships, deliver service management solutions, and translate business requirements into IT deliverables.

Experienced Solution Architect needed for Teamcenter system integration project. Design and implement integration solutions in a PLM environment, collaborating with global project teams. Minimum 5 years experience with AIG products (T4EA/T4S/T4O) and 6 years in PLM, especially Teamcenter.

Senior Quality Engineer will design, execute, and optimize automated tests across various levels (functional, integration, contract, performance, and load). Responsibilities include integrating automated testing into CI/CD processes, collaborating with Product Owners, and acting as the sole QA Engineer for the team.

SAP BI Consultant will design, develop, and implement data solutions using SAP technologies like BW, Datasphere, Analytics Cloud, and HANA. Responsibilities include gathering requirements, optimizing ETL processes, and creating data visualizations. Requires experience with one of the listed SAP technologies and advanced SQL knowledge.

Design, develop, test, and deliver high-quality software features end-to-end. Leverage agentic AI tools in daily development workflow. Participate in architectural and technical design discussions. Collaborate with Product Manager and Product Designer to understand requirements and provide technical input. Conduct code reviews, mentor junior engineers, and participate in customer support. Continuously improve engineering practices.

Design, develop, test, and deliver high-quality software features end-to-end. Leverage agentic AI tools in daily development workflow. Participate in architectural and technical design discussions. Collaborate with Product Manager and Product Designer to understand requirements and provide technical input. Conduct code reviews, mentor junior engineers, and participate in customer support.