566 English-speaking jobs in Katowice

Designs, operates, and maintains enterprise-class virtualization platforms based on VMware and Nutanix technologies. Ensures high availability, performance, security, and resilience of Wintel and Windows-based virtual environments. Provides expert-level support during major incidents and contributes to post-incident reviews.

Design, implement, and maintain data processing solutions in AWS and Azure environments. Build and optimize ETL pipelines and data integration workflows. Develop and maintain data pipelines using Azure Data Factory, Synapse, and Databricks.

Lead a Python team developing features for a marketing and sales project using modern data technologies. Responsibilities include requirement analysis, technical solution design, team mentorship, and risk mitigation. Requires 4+ years of Python development experience, leadership skills, and expertise in FastAPI, Pandas, asyncio, SQLAlchemy, Celery, Redis, RabbitMQ, gRPC, and React.js. Experience with Docker, cloud platforms, CI/CD pipelines, and GenAI tools is beneficial.

Support and maintain HR applications, performing root cause analysis, system administration, and collaborating with internal teams and end users.

Lead Pre-Sales Solutioner/AI will define and execute the organization's data and AI strategy, focusing on intelligent, scalable, and future-ready solutions. The role will establish data foundations through Master Data Management and Data Governance, design data architectures on hyperscaler platforms, and drive AI adoption and innovation.

Designs, builds, tests, and deploys automation solutions for complex business processes using Blue Prism. Translates business requirements into technical designs and delivers components end-to-end.

Acts as a local CISO for external clients, advising on IT and cybersecurity risks, ensuring alignment with risk frameworks, and embedding security by design. Supports teams in identifying, assessing, and managing risks, and provides risk and security reporting.

Leads and coaches the Agentic engineering team for Neo, Capgemini's AI platform. Oversees the development and evolution of Neo's agentic platform components. Coordinates with product, AI research, cloud, and change teams to implement agentic features.

Manages technology portfolio for engagements, ensuring successful transition to digital solutions and driving digital transformation. Supports bid teams and manages client technology stakeholders. Requires 8+ years of experience as an industry practitioner with strong English communication skills and experience in software integration or automation programs.

Lead Network Infrastructure Engineer for Poland will serve as primary representative for Network Services, overseeing critical network operations, guiding technical teams, and ensuring seamless service delivery.

Lead technical consultations, analyze design inputs, and prepare integration surveys for BMC platform deployments. Install, configure, and validate connectivity with network elements. Provide technical support, troubleshoot issues, and collaborate with stakeholders.

Lead and design a globally distributed AI inference platform with OpenAI-compatible endpoints. Architect and design the core infrastructure of Akamai Inference Cloud, ensuring it is performant, compliant, economical, and explainable. Provide thought leadership on AI inference optimization, model serving architectures, and establishing technical standards for the platform.

Senior Product Manager will own a product area end-to-end, turning real-time signals into measurable outcomes. Responsibilities include defining hypotheses, running experiments, and collaborating with engineering and design to build solutions. The ideal candidate has experience building products in early-stage environments, strong data fluency, and a focus on customer behavior and decision-making.

Backend Engineer (Go) to develop, scale, and maintain backend services, primarily in Go, while supporting existing Node.js services. Responsibilities include designing and optimizing databases, taking ownership of features from development to production, and collaborating with cross-functional teams.

Senior AI Backend Engineer will build, scale, and maintain the backend architecture for AI Agents. Responsibilities include designing and implementing an Agentic reasoning layer, modernizing legacy systems, and collaborating with AI researchers. Requires 6+ years of backend development experience with Node.js and TypeScript, experience with real-time communication, and proven experience building AI-driven features.

Senior Data Engineer will design, develop, and maintain Azure Data Factory pipelines, including orchestration, parameterization, and trigger management. Responsibilities include monitoring, troubleshooting, and optimizing pipelines, developing ETL/ELT processes, and translating business requirements into technical solutions. Strong experience with Azure Data Factory and Databricks, Python, SQL, and Azure DevOps is required.

Lead Data Scientist / ML Engineer will design, implement, and validate Machine Learning solutions for clients across various industries. Responsibilities include leading AI solution architectures, researching and selecting tools and technologies, and coordinating with Data Engineering and Software Engineering teams.

Addepto seeks an AI Solution Architect to design and deliver AI strategies for enterprise clients. This role involves leading the design of end-to-end AI architectures, evaluating AI frameworks and tools, and supporting decision-making processes for AI solutions. The ideal candidate will have experience with AI applications, modern AI technologies, and AI cloud platforms.

Lead and own end-to-end delivery of AI, Machine Learning, Big Data, and broader IT/software projects for international enterprise clients. Act as the primary point of contact and trusted advisor for clients, managing relationships with senior stakeholders and ensuring alignment between business objectives and technical execution.

As a Solution Engineer, you will support clients in aligning technical solutions such as machine learning, LLM-based applications, and cloud data platforms with their business goals. You will design solution architectures, create technical proofs of concept, and collaborate with sales, delivery, and engineering teams.