607 English-speaking jobs in Łódź

Senior Ruby Software Engineer to deliver high quality code for new carrier integrations, manage microservices, and improve existing integrations. Experience with Ruby, distributed systems, and CI/CD pipelines is required.

Lead Linux System Administrator for large-scale GPU infrastructure. Manage Linux server lifecycle, NVIDIA GPU software stack, and team of administrators. Requires 7+ years Linux administration experience, 3+ years in a lead role, and expertise in Ansible, Terraform, and scripting.

Site Operations Manager will lead day-to-day operations of a high-density data center supporting GPU infrastructure. Responsibilities include managing on-site teams, ensuring operational continuity, and overseeing critical facility infrastructure. Requires 8 years of experience in data center operations, at least 4 years in a people management role, and strong technical knowledge of data center infrastructure.

Lead DevOps Engineer to provide technical leadership for DevOps and Site Reliability Engineering practices supporting large-scale GPU infrastructure. Responsibilities include leading a team, designing and implementing Infrastructure as Code solutions, building CI/CD pipelines, and improving platform reliability. Requires 8+ years of experience in DevOps, SRE, or Platform Engineering with strong experience in infrastructure automation, Kubernetes, and GPU-related technologies.

Develop secure, high-performance software in Rust and C++ for a multi-factor authentication platform. Contribute to passwordless authentication components and build solutions for web proxies and reverse proxies.

Provides data analysis and reporting support to leadership and stakeholders. Requires proficiency in Excel, data modeling, and strong communication skills.

Systems Integrations Specialist designs REST APIs and data models, ensuring quality adherence in API design and data governance.

Drive and develop technology vision, innovation, expertise and thought leadership in classical and AI-enabled enterprise architecture. Conduct end-to-end architecture assessments, define solutions, optimize application portfolio, and bring AI and agentic AI to client's architecture and technology strategy. Manage technology transition paths, considering a good understanding of functional AS-IS, and translate it into a mature TO-BE landscape, managing the entire transition process. Provide architecture conscience, defining the right solution to meet the performance, scalability, flexibility, operations and capability needs. Assist our clients in creating and implementing sharp visions, strategies and roadmaps in the business and technology architecture domains that address the challenges and opportunities of new business models leveraging technology and possibly AI.

Lead technical initiatives in AI/LLM/GenAI, designing and building scalable solutions. Translate business problems into AI solutions, mentor junior engineers, and collaborate with cross-functional teams.

As a Data Modeler/Designer, you will design and implement scalable, efficient, and secure data solutions. You will collaborate with stakeholders to build data architecture strategies and work with data engineers, data scientists, and IT teams to define robust data models. You will evaluate and recommend technologies for data storage, processing, and analysis.

Contribute to shaping and delivering SAP data & analytics solutions, focusing on SAP Business Data Cloud (BDC) and SAP-native data products. Design, implement, and support SAP data warehousing solutions, including data products, semantic models, and analytics consumption using BDC and SAP Analytics Cloud (SAC). Translate business requirements into SAP data solutions and collaborate with cloud and data platform teams to deliver hybrid architectures.

Design, implement, and deploy SAP solutions to achieve business goals. Lead full-cycle, international projects and drive industry innovation by delivering SAP S/4HANA solutions.

Help clients reinvent their processes using digital tools and AI. Advise on process reinvention to realize value as part of digital transformation projects.

Senior Data Scientist will leverage machine learning and cloud technologies to improve client businesses. Responsibilities include applying data-driven approaches to business scenarios, creating and using advanced analytics and ML algorithms, and collaborating in interdisciplinary teams. Requires a minimum Bachelor's degree in a relevant field and 4 years of experience in applying data-driven approaches. Proficiency in at least one programming and query language (Python, PySpark, SQL) and understanding of various Data Science, Machine Learning concepts and algorithms is necessary. Fluent English is required.

Lead and support solution design and delivery for IAM, Authorization, or SOC requirements in on-premise, cloud, and hybrid SAP landscapes. Manage project teams and contribute to business development opportunities in SAP Security.

Apply cloud and data engineering skills to solve problems and design approaches for clients. Propose, build, and implement big data engineering solutions. Design and develop scalable data pipelines to ingest, process, and transform large datasets.

Configure and implement OpenText Vendor Invoice Management (VIM) for SAP Solutions. Troubleshoot VIM implementation across all project phases. Collaborate with global teams on large-scale transformation programs.

Lead the end-to-end implementation of SAP S/4HANA Controlling initiatives for a manufacturing company. Plan, execute, and monitor projects, ensuring alignment with business requirements. Act as a subject matter expert in SAP S/4HANA Controlling, including Product Cost Controlling and Material Ledger.

Lead and coordinate SAP FI/CO projects, including analysis, design, configuration, testing, and implementation. Collaborate with key users to optimize financial and controlling processes.

Design, implement, and deploy SAP solutions to achieve business goals. Drive industry innovation by delivering SAP S/4HANA solutions. Minimum 5 years of experience in relevant related skills. Advanced proficiency in SAP Analytics Cloud and SAP Analytics Cloud Planning.