563 English-speaking jobs in Łódź

Senior Infrastructure Administrator to lead a large-scale cloud transformation project migrating 150 Virtual Machines to Microsoft Azure. Responsibilities include managing migrations, modernizing SQL Server workloads, implementing Azure Virtual Desktop (AVD), and designing a secure Azure landing zone. Requires 5+ years of Azure infrastructure experience, expertise in Azure Virtual Machines, Azure Migrate, Azure Backup & Site Recovery, Azure SQL, Active Directory, and Azure Virtual Network (VNet).

Leads complex finance transformation initiatives from mobilization through stabilization and value realization. Translates strategic finance priorities into actionable roadmaps and ensures initiatives address meaningful business problems. Drives change and communication activities to support adoption and embed sustainable ways of working.

Senior NetApp Storage Engineer provides technical support for storage solutions, including deployment, configuration, migration, and troubleshooting. Requires 5+ years of experience with NetApp file storage solutions and proficiency in CIFS, NFS, and MetroCluster setup.

Application Security Coordinator to coordinate penetration test and vulnerability scan outcomes, assess risks, and drive remediation actions. Requires 5+ years of experience in application security, vulnerability management, and strong stakeholder communication skills.

Operations Manager for Finance & Accounting, Record to Report. 10+ years of experience required, including 5+ years in regional leadership. Expertise in Record to Report, Fixed Assets, and process improvement.

Design and develop production-grade AI systems powered by LLMs in a regulated environment. Build and maintain data pipelines, implement solutions using frameworks like LangChain, and integrate LLM models.

Develop and enhance back-end modules in C# with MS SQL for web-based systems used in retail banking. Collaborate with business users and IT teams, participate in Scrum activities, and ensure high code quality through testing and documentation.

Project Manager to support data management and analytics initiatives. Leads project delivery, coordinates stakeholders, and implements best practices across IT, procurement, engineering, and production. Requires project management experience, technical knowledge, and strong communication skills.

Lead IT projects improving manufacturing processes and supporting smart factory initiatives. Manage project portfolios, collaborating with stakeholders and technical teams to deliver solutions enhancing efficiency, quality, and operational performance.

Product Security Technical Consultant advises industrial product development teams on security requirements, regulatory compliance, and secure AI development practices. Designs and maintains product security frameworks, translates Cyber Resilience Act requirements into engineering specifications, and performs OT/ICS security level assessments. Leads threat modeling workshops, defines and implements SDL/SSDLC programs, and supports Notified Body engagement. Conducts engineering-level regulatory gap assessments and presents findings to senior stakeholders. Requires 5+ years of experience in product security advisory for industrial product development, knowledge of CRA, IEC62443, and NIS2 frameworks, and expertise in threat modeling methodologies and secure SDLC practices. Familiarity with AI/ML security, EU AI Act conformity obligations, and DevSecOps pipeline integration is also required.

Lead a team of 5 Salesforce Developers optimizing Salesforce code, implementing business logic, and customizing Salesforce to meet unique business requirements within the Asset Management domain.

Experienced Business Analyst needed for large-scale data handling and harmonization within a regulatory reporting environment. Analyze and harmonize data sets, define data structures, and document ETL processes. Strong SQL skills and experience with relational databases required.

AI Engineer will design, build, and scale AI solutions for a financial project. Responsibilities include prototyping AI use cases, integrating AI with various systems, and deploying solutions on cloud platforms. Requires a Master's degree and 5+ years of experience building and deploying ML/AI solutions.

Develop and apply AI/ML methods for product verification, including data analysis, model creation, and deployment. Integrate laboratory equipment and implement computer vision solutions for automated testing.

Global Supplier Development Engineer focused on Oils, Chemicals, and Plastics. Leads supplier qualification, implements process improvements, and oversees material approvals. Requires 10+ years of experience in quality assurance or supplier development within the chemical industry.

Solution Architect Consultant will design secure, scalable, and reliable system architectures, translating business needs into technical solutions. Requires experience designing software solutions using modern architectures, cloud platforms (Azure preferred), and CI/CD and Agile methodologies.

Lead the development of machine learning systems to optimize engineering processes and boost operational effectiveness. Partner with stakeholders to define problems, gather requirements, and translate strategic goals into technical solutions.

Lead and execute penetration tests across web applications, APIs, mobile apps, cloud environments, and networks. Perform Active Directory security testing and develop custom exploits using Python, PowerShell, and Bash. Manage end-to-end engagements and provide technical input during scoping calls and proposal creation.

Lead SAP authorization initiatives within complex SAP environments. Architect SAP platform authorization strategies across S/4HANA and cloud-based landscapes. Define and govern preventive authorization controls as part of SAP security architecture. Drive SAP authorization-focused security assessments, remediation roadmaps, and audit readiness activities.

Intellias seeks a Python MCP Engineer to design and develop services based on the Model Context Protocol (MCP), enabling integrations between AI agents, enterprise systems, and external tools. Responsibilities include building API-driven integrations, developing scalable backend services, and deploying cloud-native services on AWS.