540 English-speaking jobs in Łódź

Lead DevOps Engineer will 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.

Lead Linux System Administrator for large-scale GPU infrastructure supporting AI training and inference. Manage Linux server lifecycle, optimize NVIDIA GPU software stack, and mentor a team of administrators.

Backend Developer will maintain and improve Go-based backend services, design database schemas, and develop backend logic for a SaaS platform focused on interactive digital experiences.

Senior Business Analyst to support a global travel-tech company's SAP Compleat platform. Analyze workflows, gather requirements, and ensure configurations align with business policies. Experience with travel processes, mid-office systems, and GDS platforms required.

DevOps Engineer to automate development processes, streamline CI/CD pipelines, and manage AWS serverless infrastructure. Collaborate with engineering teams on platform consolidation and system hardening.

Backend Kotlin Engineer to design, develop, and maintain high-quality backend services. Collaborate with cross-functional teams to define, design, and ship new features using coroutines and existing frameworks. Write unit and integration tests and participate in code reviews.

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.

Full Stack Developer needed for interactive form builder project. Expertise in Golang (backend) and React/TypeScript (frontend) required. Responsibilities include designing, developing, and maintaining backend services and frontend applications, collaborating with teams, and ensuring high-quality code. Experience with Kafka, AWS, Terraform, Kubernetes, and Jenkins is essential.

Senior Marketing Cloud Engagement Developer needed to design, configure, and develop solutions within Salesforce Marketing Cloud. Requires 5+ years of experience with MCE modules (Journey Builder, Automation Studio, Email Studio) and proficiency in SQL, AMPscript, and SSJS. Must have Salesforce Marketing Cloud Developer and/or Consultant certifications. Experience integrating SFMC with external systems using REST/SOAP APIs is essential.

Design, implement, and deploy SAP solutions to achieve business goals. Involved in full-cycle, large-scale, international projects. Drive industry innovation by delivering SAP S/4HANA solutions.

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.

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 BW/4HANA Data Modeling & Development. Very good command of English.

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 technical initiatives in AI/LLM/GenAI, designing and building scalable solutions. Research and evaluate AI models, tools, and architectures. Translate business problems into AI solutions and mentor junior engineers. Collaborate with cross-functional teams to integrate AI capabilities.

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.

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.

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.

Lead and manage project teams on client engagements, acting as a trusted advisor to senior executives on data and AI strategies. Define advanced analytics and AI strategies, including GenAI and Agentic AI, aligned with enterprise ambitions. Design and operationalize Responsible AI frameworks, covering ethics, transparency, regulatory compliance, and AI risk management.

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.

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