336 English-speaking jobs in Łódź

Lead cloud-native solutions development using Python, focusing on scalability, security, and performance. Design database solutions, implement observability, and drive CI/CD practices. Build AI-integrated solutions, mentor team members, and conduct code reviews.

Lead C++ Engineer with Observability will lead observability implementation across the software development lifecycle. This role requires 7+ years of experience in observability engineering, including metrics, tracing, and logging. Expertise in profiling and telemetry pipelines, understanding of customer-experience measurement for latency-sensitive market data systems, and proficiency in C++ are essential.

Security Software Architect needed to design and implement security solutions for a Database as a Service platform and on-premise "private cloud." Requires broad security expertise, data encryption knowledge, and experience with identity & authentication, Kubernetes, virtualization, and networking.

Senior System Analyst to support Oracle FLEXCUBE implementation, configuration, and maintenance within a core banking environment. Analyze, configure, and troubleshoot issues across the FLEXCUBE architecture. Collaborate with stakeholders to gather requirements and provide solutions. Requires 3+ years of experience as a System Analyst in core banking environments with strong understanding of Oracle FLEXCUBE (FCUBS).

Senior Ruby Developer to build and maintain scalable web applications using Ruby and Rails. Experience with PostgreSQL, RSpec, and TDD/BDD required. Must have strong communication skills and be comfortable working independently.

Lead the design, development, and deployment of intelligent multi-agent systems combining reasoning, decision-making, and autonomous execution. Design multi-agent architectures, build advanced context and memory capabilities, and develop custom RAG and vector-based retrievers. Orchestrate tools via MCP, script in supported languages, and architect secure, auditable pipelines. Integrate observability, create reusable templates, and enable other teams through documentation and guidance.

Solution Architect needed to lead the migration of on-premises Informatica to a cloud-based architecture. Requires expertise in Informatica SaaS offerings, data integration, and cloud solutions. Responsibilities include designing, implementing, and documenting the migration strategy, ensuring security and compliance, and collaborating with cross-functional teams.

Google Cloud Technical Lead/Lead Engineer will design and implement Google Cloud Platform solutions, focusing on Identity and Access Management, infrastructure automation, and cost optimization. Requires 5+ years of cloud engineering experience, strong Terraform expertise, and proficiency in Python and Bash.

The AI Solutions Architect leads technical discovery and design of AI solutions for clients, translating business needs into scalable architectures. This role requires expertise in Generative AI, LLMs, RAG systems, and automation workflows.

Leads data governance, change management, and data literacy initiatives for a large manufacturing company's data strategy development. Serves as a bridge between business stakeholders, executive sponsors, and technical teams. Requires proven experience in data governance, change management, and stakeholder engagement within a complex enterprise environment.

Data Architect to design and define target-state data architecture for analytics, AI, and data product development. Experience with cloud data platforms, data governance, and communication with stakeholders required.

Lead GCP Solution Architect to guide complex cloud transformation initiatives, defining architectures, collaborating with engineering teams, and ensuring secure, compliant, and scalable cloud environments.

Senior Business Analyst to design and implement automation solutions for investor relations and private equity content. Collaborate with stakeholders to gather requirements, translate them into technical specifications, and ensure alignment with business needs and compliance. Experience with content automation platforms and private equity materials required.

Senior AI Solutions Architect to design and implement LLM-driven solutions with a focus on retrieval-augmented generation and knowledge-graph integration. Responsibilities include managing LLM orchestration pipelines, defining embedding strategies, and implementing entity extraction and resolution processes. Requires experience with LLM-based systems, semantic search, and Python.

Senior Data Architect to design and evolve data architectures for AI-driven financial client solutions. Develop scalable data pipelines, integrations, and transformation workflows. Translate business requirements into technical solutions.

Develop and implement computer vision algorithms for video collaboration hardware. Design and optimize image processing pipelines using machine learning frameworks. Improve and optimize image reconstruction and filtering algorithms.

Senior MLOps Engineer will design, implement, and manage infrastructure for AI/ML workloads on Azure. Responsibilities include building and maintaining cloud infrastructure, automating ML development processes, and collaborating with engineers to solve complex problems. Requires experience with Azure DevOps, scripting, configuration management tools, and CI/CD for SaaS applications.

Java Developer to work on an ag-tech client's e-commerce platform and its integration with Oracle Cloud Finance ERP. Minimum five years of Java and Spring Boot experience required. Experience working in a cloud environment (GCP, AWS, or Azure) and hands-on PostgreSQL experience are also required.

Datacenter Engineer with 2-3 years of experience in implementing and maintaining network and datacenter solutions. Solid knowledge of routing protocols and DC solutions at CCNP level. Proficient in Microsoft Office and communicative English. Responsibilities include deployment, configuration, and maintenance of network infrastructure, troubleshooting incidents, and creating technical documentation.

Data Scientist will extract insights from large datasets, build and enhance AI/ML models, and conduct data analysis. Requires proficiency in at least two specialization areas (e.g., machine learning, computer vision, NLP) and strong Python skills with ML/AI frameworks. Experience with cloud platforms and MLOps concepts is essential.