189 English-speaking jobs in Lublin Voivodeship

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.

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.

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.

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.

Senior Network Engineer will design, implement, maintain, and support enterprise network infrastructure. Responsibilities include installing, configuring, and supporting network equipment, implementing and troubleshooting Cisco NAC solutions, and managing various network and security platforms. Requires strong expertise in switching and wireless technologies, experience with enterprise routers, switches, firewalls, and wireless systems, and proven experience with Cisco ISE and network access control.

Lead Network Infrastructure Engineer for Poland will oversee critical network operations, guide technical teams, manage major incidents, and ensure seamless service delivery. Requires 8+ years of Network Engineering experience, at least 3 years in a lead role, and certifications like CCNP or CCIE. Must have deep knowledge of Cisco, Arista, ASA, Fortigate, Checkpoint, and Cisco ISE.

AgileEngine seeks a Data Quality Specialist to monitor data integrity, validate calculations, and collaborate with development teams to resolve issues and enhance quality standards. The role involves reporting on data accuracy, identifying and tracking data quality issues, and establishing data quality metrics.

Designs, builds, and operates an enterprise AWS cloud platform supporting CIS managed services. Responsibilities include architecting and implementing secure, scalable, and automated AWS foundations, including AWS Landing Zone Accelerator (LZA), AWS Account Factory for Terraform (AFT), Terraform-based Infrastructure as Code, GitOps workflows, and EKS-based Kubernetes platforms.

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.

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.

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.

Submit your CV and express your interest in supporting our company's success. We seek individuals who are committed, passionate about technology, and enjoy international collaboration.

Snowflake Developer will design, optimize data models and ETL pipelines in Snowflake. Responsibilities include building data ingestion and transformation workflows, developing SQL and Python code, and collaborating with data architects and engineers. Strong Snowflake experience, SQL expertise, and Python skills are required.

Sales Representative to implement sales policy and achieve targets in assigned territory. Acquire new customers, build relationships, and report sales activities. Requires trade experience, customer contact experience, and a driving license.

Experienced Oracle Retail Cloud Functional and Techno-Functional Consultants are needed for large-scale implementations, upgrades, and support. Requires 5-15 years of experience in Oracle Retail projects, expertise in at least two modules (RMS, ReIM, ReSA, RTM, RPM, Allocations, RIB), and proficiency in SQL, PL/SQL, and FRICEW components.

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.