644 English-speaking jobs in Łódź Voivodeship

Leads execution from planning to release for time-critical business deliveries. Drives cross-team and cross-ART dependencies, ensuring alignment and transparency. Improves Agile practices, team collaboration, and project quality and flow.

Experienced Senior DevOps Engineer specializing in monitoring, observability, and automation for distributed applications. Builds reliable test automation, integrates monitoring platforms, and ensures system health through metrics, logs, alerts, and dashboards. Combines Python scripting with DevOps practices to support stable, well-observed, and continuously improving production environments. Works effectively within cross-functional teams and contributes to high engineering standards through automation and proactive incident analysis.

Leads Finance Operations, including accounts payable, receivable, general ledger, cash management, and financial reporting. Sets direction for the Center of Excellence, aligning operations with global finance objectives. Builds and develops high-performing finance teams. Implements scalable systems and automation initiatives. Ensures compliance and internal controls. Collaborates across functions to integrate financial operations with enterprise-wide processes.

Leads the preparation and review of statutory financial statements, collaborating with Finance teams and Boards of Directors to resolve reporting matters. Drives improvements in the statutory reporting process and ensures compliance. Requires a Master's degree in Accounting or Finance and 5 years of experience in accounting, preferably in a multinational organization. Strong technical accounting and finance expertise, analytical skills, and proficiency in SAP and advanced Excel are essential.

Coordinates CIT compliance, oversees WHT obligations, and prepares tax accounting. Requires a degree in Finance, Accounting, or Tax and 3-5 years of experience in direct tax compliance and/or tax accounting.

Develop and maintain data processing solutions, automate reporting processes, and collaborate on data platform initiatives. Troubleshoot issues and apply analytical curiosity to solve complex problems.

AI Solution Architect will design, build, and implement secure, scalable AI solutions. This role requires expertise in AI technologies, cloud solutions, and enterprise systems architecture. Strong communication and collaboration skills are essential for working with stakeholders and clients. Previous experience in banking, financial services, or fintech is desirable.

Azure Cloud Platform Engineer needed to design, build, and maintain Azure infrastructure using Terraform. Responsibilities include troubleshooting issues, documenting processes, and collaborating with stakeholders. Requires 3+ years of experience with Azure core services, Kubernetes, and Terraform.

Senior AI-first .NET Engineer needed to design, develop, and maintain full-stack features. Must have hands-on experience with AI coding assistants, strong prompt engineering skills, and proficiency in .NET, JavaScript, TypeScript, and React. Experience with cloud platforms, Docker, Kubernetes, and CI/CD pipelines is required.

Experienced Cloud Security Expert needed for a strategic initiative implementing the Wiz.io platform. Define governance standards, build cloud security processes, and design a Cloud Security Incident Response (CSIR) framework across multi-cloud environments, primarily Google Cloud Platform.

The Supplier Quality Engineer collaborates with suppliers to ensure quality requirements are met. Responsibilities include conducting audits, monitoring quality indicators, and resolving supplier-related issues.

This role focuses on analyzing manufacturing data to provide actionable insights using Python and machine learning. Responsibilities include data analysis, reporting, CMMS management, and collaborating with teams to optimize maintenance strategies and drive productivity.

Senior .NET developer to design, build, and maintain secure, scalable backend solutions within an Azure cloud environment. Experience with REST APIs, OpenAPI, EF Core, SQL Server, and Azure services is required.

Build AI-powered product experiences, evaluate new models and techniques, and strengthen data foundations.

DevOps Engineer needed to design, implement, and maintain infrastructure automation for large-scale GPU environments. Responsibilities include building CI/CD pipelines, developing monitoring solutions, and automating operational tasks. Requires 4-7 years of experience in DevOps, SRE, or Platform Engineering with strong hands-on knowledge of Terraform, Ansible, and Kubernetes.

Senior Project Manager will oversee project delivery, manage risks, and communicate with clients. Requires a Bachelor's Degree, 5+ years of experience as a Global Sr Project Manager, and in-depth experience with Phase III studies.

Lead AI DevOps Engineer to design and deliver AI, ML, and GenAI solutions at scale. Responsibilities include architecture and deployment leadership, infrastructure automation, CI/CD for AI workloads, and technical advisory work. Requires 5+ years in DevOps or Cloud Engineering with AI/ML exposure, proven LLM and SLM deployment experience, and expert Linux, macOS, Python, IaC, and CI/CD knowledge.

Senior ML AI Engineer will productionize machine learning models, design GenAI solutions, and build MLOps frameworks. Requires 5+ years of data engineering, 5+ years of Python development, 3+ years of production ML engineering, and 1+ year of GenAI experience.

Senior .NET Developer will design and implement distributed systems and microservice-based architectures. Responsibilities include developing containerized services, designing gRPC-based communication, and building event-driven architectures. Requires a Master's or Bachelor's degree in a technical field and at least 6 years of experience as a software developer. Proven experience in designing and developing microservices using .NET, containerization, orchestration, and cloud platforms is essential.

Experienced Python Developer needed for banking domain with ML/AI expertise. Design, build, and maintain backend services and tools using Python. Develop data pipelines for ML/AI models and integrate with banking systems.