Infrastructure Lead (GCP)

🏢 Summary: Senior Lead Engineer role focused on delivering AI-powered enterprise solutions across frontend, backend, and integration layers. Combines hands-on development with technical leadership to build scalable, secure, production-ready systems. Involves shaping an enterprise AI platform and integrating LLM capabilities into end-to-end product experiences. 🗂️ Requirements: Degree in Computer Science, Engineering, AI or related field, Strong hands-on experience in AI/ML or LLM-based software engineering, Advanced Python experience in AI/LLM use cases, Strong experience with React and modern frontend development, Solid experience with JavaScript/TypeScript and Node.js, Understanding of LLM architectures including RAG and embeddings, Experience building APIs and microservices, Experience with cloud platforms, preferably GCP 📃 Skills: Python, React, JavaScript, TypeScript, Node.js, LLM, RAG, Embeddings, APIs, Microservices, GCP, AI, ML 🏢 Description: Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Your role As a Senior Lead Engineer for Neo Enterprise at Capgemini, this role is responsible for driving the technical delivery of AI-powered capabilities across frontend, backend, and integration layers. It combines hands-on engineering with technical leadership, ensuring complex business requirements are translated into scalable, secure, and production-ready solutions. The position plays a key role in shaping Neo’s enterprise AI platform, working closely with cross-functional teams to deliver high-quality, end-to-end product experiences. Your tasks Lead the design and implementation of scalable, user-centric frontend solutions using React Architect and build high-performance backend services with JavaScript/TypeScript and Node.js frameworks Develop and integrate Python-based AI/LLM solutions, including orchestration flows, RAG pipelines and model interaction logic Connect frontend, backend and AI capabilities into end-to-end product flows across APIs, data sources and cloud services Translate business requirements and user journeys into robust technical solutions Evolve AI capabilities, including prompt orchestration, retrieval flows, context handling and response quality Collaborate with cross-functional teams to ensure secure, scalable and maintainable integration patterns Drive technical problem-solving and maintain high engineering standards across quality, performance and production readiness Your profile Degree in Computer Science, Engineering, AI, Data Science or equivalent practical experience Strong hands-on experience in software engineering within AI/ML, LLM or platform environments Advanced Python expertise, particularly in AI/LLM use cases such as orchestration, data processing and model integration Strong experience with React and modern frontend development Solid backend experience with JavaScript/TypeScript, Node.js and related frameworks Good understanding of LLM-based architectures, including RAG, embeddings, prompt engineering and evaluation Experience building APIs, microservices and integrated systems across frontend, backend and AI layersFamiliarity with cloud platforms (preferably GCP), secure enterprise delivery practices and modern development workflows, combined with strong problem-solving skills and a collaborative mindset What You'll love about working here Well-being culture: medical care with Medicover, private life insurance, and Sports card. But we went one step further by creating our own Capgemini Helpline offering therapeutical support if needed and the educational podcast "Let's talk about wellbeing" which you can listen to on Spotify. Access to over 70 training tracks with certification opportunities (e.g., GenAI, Excel, Business Analysis, Project Management) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, TED Talks and Udemy Business materials and trainings. Continuous feedback and ongoing performance discussions thanks to our performance management tool GetSuccess supported by a transparent performance management policy. Enjoy hybrid working model that fits your life - after completing onboarding, connect work from a modern office with ergonomic work from home, thanks to home office package (including laptop, monitor, and chair). Ask your recruiter about the details. Get to know us Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued. Do you want to get to know us better? Check our Instagram — @capgeminipl or visit our Facebook profile — Capgemini Polska . You can also find us on YouTube . About Capgemini Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion.

🏢 Summary: Senior Lead Engineer role focused on delivering enterprise AI-powered solutions across frontend, backend, and integration layers. Combines hands-on development with technical leadership to build scalable, secure, production-ready systems using React, Node.js, and Python-based AI/LLM technologies. Involves shaping and evolving an enterprise AI platform with end-to-end ownership of architecture and integration. 🗂️ Requirements: Degree in Computer Science, Engineering, AI, Data Science or equivalent experience, Strong hands-on experience in AI/ML or LLM-based software engineering, Advanced Python expertise for AI/LLM orchestration and integration, Strong experience with React and modern frontend development, Solid backend experience with JavaScript/TypeScript and Node.js, Understanding of LLM architectures including RAG, embeddings and prompt engineering, Experience building APIs and microservices, Experience integrating frontend, backend and AI systems, Familiarity with cloud platforms, preferably GCP 📃 Skills: Python, React, JavaScript, TypeScript, Node.js, LLM, RAG, Embeddings, APIs, Microservices, GCP, AI, ML 🏢 Description: Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Your role As a Senior Lead Engineer for Neo Enterprise at Capgemini, this role is responsible for driving the technical delivery of AI-powered capabilities across frontend, backend, and integration layers. It combines hands-on engineering with technical leadership, ensuring complex business requirements are translated into scalable, secure, and production-ready solutions. The position plays a key role in shaping Neo’s enterprise AI platform, working closely with cross-functional teams to deliver high-quality, end-to-end product experiences. Your tasks Lead the design and implementation of scalable, user-centric frontend solutions using React Architect and build high-performance backend services with JavaScript/TypeScript and Node.js frameworks Develop and integrate Python-based AI/LLM solutions, including orchestration flows, RAG pipelines and model interaction logic Connect frontend, backend and AI capabilities into end-to-end product flows across APIs, data sources and cloud services Translate business requirements and user journeys into robust technical solutions Evolve AI capabilities, including prompt orchestration, retrieval flows, context handling and response quality Collaborate with cross-functional teams to ensure secure, scalable and maintainable integration patterns Drive technical problem-solving and maintain high engineering standards across quality, performance and production readiness Your profile Degree in Computer Science, Engineering, AI, Data Science or equivalent practical experience Strong hands-on experience in software engineering within AI/ML, LLM or platform environments Advanced Python expertise, particularly in AI/LLM use cases such as orchestration, data processing and model integration Strong experience with React and modern frontend development Solid backend experience with JavaScript/TypeScript, Node.js and related frameworks Good understanding of LLM-based architectures, including RAG, embeddings, prompt engineering and evaluation Experience building APIs, microservices and integrated systems across frontend, backend and AI layersFamiliarity with cloud platforms (preferably GCP), secure enterprise delivery practices and modern development workflows, combined with strong problem-solving skills and a collaborative mindset What You'll love about working here Well-being culture: medical care with Medicover, private life insurance, and Sports card. But we went one step further by creating our own Capgemini Helpline offering therapeutical support if needed and the educational podcast "Let's talk about wellbeing" which you can listen to on Spotify. Access to over 70 training tracks with certification opportunities (e.g., GenAI, Excel, Business Analysis, Project Management) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, TED Talks and Udemy Business materials and trainings. Continuous feedback and ongoing performance discussions thanks to our performance management tool GetSuccess supported by a transparent performance management policy. Enjoy hybrid working model that fits your life - after completing onboarding, connect work from a modern office with ergonomic work from home, thanks to home office package (including laptop, monitor, and chair). Ask your recruiter about the details. Get to know us Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued. Do you want to get to know us better? Check our Instagram — @capgeminipl or visit our Facebook profile — Capgemini Polska . You can also find us on YouTube . About Capgemini Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion.

🏢 Summary: Lead Infrastructure Engineer role responsible for overseeing enterprise network operations in Poland, acting as the primary escalation point for critical incidents and ensuring high availability and SLA compliance. The position combines advanced network engineering expertise with operational leadership across complex Cisco and Arista environments. It involves driving major incident management, service delivery excellence, and network automation initiatives. 🗂️ Requirements: 8+ years in Network Engineering, 3+ years in technical lead or managerial role, Bachelor’s degree in IT, Computer Science or related field, Experience with Cisco and Arista network environments, Strong knowledge of BGP and OSPF, Experience with Cisco ASA, Fortigate and Checkpoint, Knowledge of Cisco ISE, Expertise in packet capture analysis, Experience with WAN performance tuning, Practical experience with Ansible or Python for Network-as-Code, Fluent English 📃 Skills: BGP, OSPF, VPC, MLAG, Cisco, Arista, ASA, Fortigate, Checkpoint, ISE, Ansible, Python, WAN, SLA, RCA 🏢 Description: Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Your role As a Lead Infrastructure Engineer for Poland, you will serve as the primary representative of the Network Services organization for Poland GDC leadership teams. You will oversee critical network operations, guide technical teams, manage major incidents, and ensure seamless service delivery across a complex enterprise environment. This role blends deep technical expertise with strong leadership, communication, and operational excellence. Your tasks Stakeholder & Business Alignment: Ensure continuous alignment between network operations and business priorities, translate business needs into actionable technical strategies. Escalation Management: serve as the final point of contact for critical (P1/P2) network outages, lead Major Incidents and Potential Major Incidents, ensuring rapid service restoration, coordinate with global network teams and vendors to drive efficient troubleshooting, engage the appropriate technical experts and manage Root Cause Analysis (RCA) to prevent recurrence. Service Delivery: oversee 24/7 support operations, including rotational schedules and on-call structures, ensure operational readiness, process adherence, and performance across all support teams, monitor SLA compliance and implement continuous improvements to operational efficiency. Your profile Minimum 8+ years experience in Network Engineering, with at least 3 years in a technical lead or managerial role. Bachelor’s degree in IT, Computer Science, or a related field (or equivalent experience). Certifications: CCNP (Preferred), CCIE (Preferred) Good knowdlege on Switching and Routing especially on BGP, OSPF, VPC, and MLAG within Cisco and Arista environments. Proven experience managing Cisco ASA, Fortigate, and Checkpoint; deep knowledge of Cisco ISE. Expert-level packet capture analysis and performance tuning for WAN accelerators. Practical knowledge of Network-as-Code (Ansible/Python) to streamline repetitive tasks. Fluent English with the ability to simplify technical jargon for non-technical executives. A "see-it-through" mindset for complex customer issues and long-term projects. What You'll love about working here Practical benefits: company car, yearly financial bonus, private medical care with Medicover with additional packages (e.g., dental, senior care, oncology) available on preferential terms, life insurance and access to NAIS benefit platform. Award-winning development programs to support your career at every stage. Connected Manager - our leadership development program has already helped over 300 employees accelerate their growth! Access to over 70 training tracks with certification opportunities (e.g., GenAI, Excel, Business Analysis, Project Management) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform TED Talks and Udemy Business materials and trainings. Cutting-Edge Technology: Position yourself at the forefront of IT innovation, working with the latest technologies and platforms. Capgemini partners with top global enterprises, including 145 Fortune 500 companies. Power to build a sustainable, more inclusive future: Be the change and engage in our initiatives like IT Girls rEvolution Academy, CharITy Hackathon, Tree Planting or Grant Program. Get to know us Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued. Do you want to get to know us better? Check our Instagram — @capgeminipl or visit our Facebook profile — Capgemini Polska . You can also find us on YouTube . About Capgemini Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion.

🏢 Summary: Ownership of end-to-end delivery of complex Data Cloud initiatives in modern cloud environments. The role bridges engineering, architecture, and delivery to ensure scalable, high-quality data platforms are built, governed, and released effectively. It focuses on coordinating technical teams and translating architectural vision into structured, predictable execution. 🗂️ Requirements: Experience delivering cloud-based data platforms (data lakes, data warehouses, lakehouse), Strong understanding of data ingestion, transformation, orchestration, observability, Hands-on knowledge of AWS, Azure, or GCP, Understanding of IAM, networking, and cloud cost management, Experience with CI/CD pipelines, Experience with Infrastructure as Code, Knowledge of DevOps practices, Ability to translate architecture into delivery plans and backlogs, Experience managing technical risks and cross-team dependencies, Experience governing full software development lifecycle 📃 Skills: AWS, Azure, GCP, CI/CD, IaC, DevOps, IAM, Networking, DataLakes, DataWarehousing, Lakehouse, Orchestration, Observability 🏢 Description: Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Your role You take ownership of delivering complex Data Cloud initiatives from idea to production. Sitting at the intersection of engineering, architecture, and delivery, you help teams turn technical vision into predictable outcomes. You coordinate people, platforms, and plans to ensure scalable, high‑quality data solutions are built the right way, on time, and with clear visibility for stakeholders. Your impact is enabling engineering teams to deliver confidently in a modern cloud data environment. Your tasks Drive end‑to‑end delivery of Data Cloud initiatives, including ingestion pipelines, transformation layers, and platform services Translate architectures and technical roadmaps into delivery plans, milestones, and actionable engineering backlogs Coordinate work across data engineering, platform engineering, DevOps, and analytics teams Ensure solutions follow agreed technical standards, architectural guidelines, and cloud best practices Govern the full development lifecycle from design readiness through production stabilization Plan and coordinate releases, ensuring quality gates, production readiness, and operational handoverIdentify, manage, and resolve technical risks, dependencies, and cross‑team blockers Provide clear, technically grounded delivery status, forecasts, and risk updates to senior stakeholders Your profile Experience delivering cloud‑based data platforms, such as data lakes, data warehouses, or lakehouse architectures Solid understanding of modern data engineering concepts, including ingestion patterns, transformations, orchestration, and observability Familiarity with cloud platforms (AWS, Azure, or GCP), including IAM, environments, networking, and cost considerations Comfort working with CI/CD, Infrastructure as Code, and DevOps practices Proven background in leading complex technical initiatives and structuring work into executable delivery plans Ability to proactively manage dependencies in technically complex environmentsStrong sense of ownership, accountability, and delivery focus Clear communication skills with the ability to translate technical topics into delivery, cost, and risk implications What You'll love about working here Well-being culture: medical care with Medicover, private life insurance, and Sports card. But we went one step further by creating our own Capgemini Helpline offering therapeutical support if needed and the educational podcast "Let's talk about wellbeing" which you can listen to on Spotify. Access to over 70 training tracks with certification opportunities (e.g., GenAI, Excel, Business Analysis, Project Management) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, TED Talks and Udemy Business materials and trainings. Continuous feedback and ongoing performance discussions thanks to our performance management tool GetSuccess supported by a transparent performance management policy. Enjoy hybrid working model that fits your life - after completing onboarding, connect work from a modern office with ergonomic work from home, thanks to home office package (including laptop, monitor, and chair). Ask your recruiter about the details. Get to know us Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued. Do you want to get to know us better? Check our Instagram — @capgeminipl or visit our Facebook profile — Capgemini Polska . You can also find us on YouTube . About Capgemini Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion.

🏢 Summary: The role involves supporting and maintaining Microsoft Azure cloud environments, focusing on infrastructure, automation, and daily operations. You will assist with deployments, scripting, and resolving basic security, networking, and performance issues. This position is suited for candidates with practical cloud experience and foundational DevOps knowledge. 🗂️ Requirements: Experience in IT environments, Hands-on experience with Microsoft Azure, Understanding of cloud services and infrastructure, Experience with version control systems, Basic experience with CI/CD tools, Knowledge of at least one scripting language, Basic knowledge of networking, Basic knowledge of security, General knowledge of Azure services, Proficiency in English and French 📃 Skills: Azure, Python, Bash, PowerShell, GitHub, GitLab, Bitbucket, Jenkins, Bamboo, Docker, Kubernetes, Linux, Windows, AzureMonitor 🏢 Description: Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Your role In this role, you will help manage and support cloud environments in Microsoft Azure. You will work with cloud infrastructure, automation, and daily operations. You will also help teams with basic issues related to security, networking, and system performance. This position is suitable for someone with practical experience in cloud technologies and basic knowledge of DevOps tools. Your tasks Perform technical tasks based on project needs Write simple scripts (e.g. Python, Bash, PowerShell) Support and maintain Azure cloud infrastructure Help deploy applications and services Identify and fix basic issues in systems to improve stability and security Your profile Experience working in IT environments Basic hands-on experience with Microsoft Azure Understanding of cloud services and infrastructure Experience with version control tools (GitHub, GitLab, Bitbucket) Basic experience with CI/CD tools (e.g. Jenkins, Bamboo) Knowledge of at least one scripting language Basic understanding of networking and security General knowledge of Azure services Good command of English and French (both written and spoken) Nice to have Basic knowledge of automation tools Familiarity with Docker or Kubernetes Good Linux or Windows knowledge Interest in cloud certifications Exposure to monitoring tools (e.g. Azure Monitor) What You'll love about working here Well-being culture: medical care with Medicover, private life insurance, and Sports card. But we went one step further by creating our own Capgemini Helpline offering therapeutical support if needed and the educational podcast "Let's talk about wellbeing" which you can listen to on Spotify. Access to over 70 training tracks with certification opportunities (e.g., GenAI, Excel, Business Analysis, Project Management) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, TED Talks and Udemy Business materials and trainings. Continuous feedback and ongoing performance discussions thanks to our performance management tool GetSuccess supported by a transparent performance management policy. Enjoy hybrid working model that fits your life - after completing onboarding, connect work from a modern office with ergonomic work from home, thanks to home office package (including laptop, monitor, and chair). Ask your recruiter about the details. Get to know us Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued. Do you want to get to know us better? Check our Instagram — @capgeminipl or visit our Facebook profile — Capgemini Polska . You can also find us on YouTube . About Capgemini Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations.

🏢 Summary: The offer is for a Cloud Engineer role focused on developing, automating, and supporting cloud-based infrastructure solutions in large-scale IT environments. The position involves coding, infrastructure provisioning, and working with AWS, Azure, or GCP platforms using automation and CI/CD tools. The role requires strong expertise in cloud technologies, scripting, and infrastructure as code. 🗂️ Requirements: Experience in large-scale IT environments, Experience with Azure, AWS, or GCP, Experience as engineer on at least one cloud-based solution, Experience with automation tools: Puppet, Ansible, Chef, or OpenStack, Experience with version control systems, Experience with CI/CD tools, Proficiency in at least one scripting language, Understanding of network infrastructure and security concepts, Knowledge of Linux or Windows OS 📃 Skills: Azure, AWS, GCP, Python, Bash, Perl, PowerShell, Puppet, Ansible, Chef, OpenStack, GitHub, Bitbucket, GitLab, Bamboo, Jenkins, Terraform, Biceps, Docker, Kubernetes, Linux, Windows 🏢 Description: Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. YOUR TASKS The scope will involve delivering/performing tasks within the technical area defined in the technical requirements Writing code in one of the programming languages (e.g. Python, Bash, Perl, PowerShell etc.). The responsibility will involve working (administering, supporting, deploying, developing) in an infrastructure based on components available in AWS and/or GCP. YOUR PROFILE Experience in large scale IT environments. Experience working with Azure Cloud technologies and/or AWS and/or GCP Acting as an engineer on minimum 1 Cloud-based solution (Azure, AWS, Google, Oracle, Orange etc.). Experience in provisioning automation and configuration using minimum 1 of following: Puppet, Ansible, Chef, OpenStack Experience with version control tools (GitHub, Bitbucket, GitLab) CI/CD tools (e.g. Bamboo, Jenkins) Proficiency in at least one of scripting language (e.g. Python, Bash, Perl, PowerShell etc.). Strong understanding of network infrastructure and security concepts (e.g. Terraform, Biceps, etc.) Nice to have Experience in provisioning automation and configuration using minimum 1 of following: Puppet, Ansible, Chef, OpenStack Container management, development (Docker, Kubernetes) Good understanding of Agile / Lean principles and how to apply them. Knowledge of cluster storage concepts. Knowledge of Linux and/or Windows OS. Cloud Vendor certificates. CKA/CKAD/CSK/DCA certificates. WHAT YOU’LL LOVE ABOUT WORKING HERE Well-being culture : medical care with Medicover, private life insurance, and Sports card. But we went one step further by creating our own Capgemini Helpline offering therapeutical support if needed and the educational podcast "Let's talk about wellbeing" which you can listen to on Spotify. Access to over 70 training tracks with certification opportunities (e.g., GenAI, Excel, Business Analysis, Project Management) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, Pluralsight, TED Talks, Coursera and Udemy Business materials and trainings. Enjoy hybrid working model that fits your life - after completing onboarding, connect work from a modern office with ergonomic work from home, thanks to home office package (including laptop, monitor, and chair). Ask your recruiter about the details. Continuous feedback and ongoing performance discussions thanks to our performance management tool GetSuccess supported by a transparent performance management policy. GET TO KNOW US Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued. Do you want to get to know us better? Check our Instagram — @capgeminipl or visit our Facebook profile — Capgemini Polska . You can also find us on TikTok! — @capgeminipl . ABOUT CAPGEMINI Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 360,000 team members globally in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. Apply now!

🏢 Summary: Lead the engineering delivery of user-facing AI experiences for an enterprise AI platform, managing a multidisciplinary team across frontend, full-stack, and AI product engineering. Drive scalable, high-quality implementations of conversational and agentic AI features using modern frontend and AI technologies. Ensure enterprise-grade standards in architecture, performance, security, and CI/CD while collaborating cross-functionally in an agile environment. 🗂️ Requirements: Bachelor's or Master's degree in Computer Science, Engineering, AI, Data Science or related field, Experience leading frontend, full-stack, or AI product engineering teams, Strong expertise in modern frontend frameworks (React, Angular, or Vue), Solid backend development knowledge (APIs, JavaScript/TypeScript, Node.js, Express or NestJS), Practical knowledge of AI/ML concepts including LLMs, RAG, embeddings, vector search, prompt engineering, Experience with Python in AI/LLM contexts, Experience delivering enterprise-grade applications with focus on security, observability, performance, Familiarity with cloud platforms, preferably GCP, Experience working in agile environments with cross-functional teams 📃 Skills: React, Angular, Vue, JavaScript, TypeScript, Node.js, Express, NestJS, Python, LLM, RAG, Embeddings, VectorSearch, PromptEngineering, GCP, CloudRun, BigQuery, Firestore, CloudStorage, VertexAI, Apigee, CI/CD, APIs 🏢 Description: Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Your role As the Engineering Manager - AI Product within Capgemini, you will lead the engineering delivery of user-facing AI experiences for Neo, Capgemini’s Group-wide AI platform. Working at the intersection of AI, product engineering, and frontend excellence, you will guide a multidisciplinary team to transform advanced AI capabilities into intuitive, scalable, and enterprise-ready solutions. Your impact will shape how users interact with Neo through conversational, agentic, and knowledge-driven experiences while ensuring high standards of usability, performance, and technical quality. Your tasks Lead and develop a team of frontend, full-stack, and AI product engineers to deliver high-quality product experiences Drive delivery of user-facing AI capabilities including chat, agents, knowledge retrieval, prompt flows, and feedback loops Ensure scalable, performant, and maintainable frontend architecture using modern frameworks (e.g. React) Guide teams on AI-ready implementation patterns such as RAG flows, prompt orchestration, streaming, and evaluation Collaborate closely with Product, UX/UI, AI/ML, Backend, Security, Cloud, and QA teams Translate business and product needs into clear engineering plans, milestones, and standards Establish best practices across code quality, CI/CD, testing, observability, accessibility, and performance Drive continuous improvement using user feedback, adoption data, and AI performance insights Your profile Bachelor's or Master's degree in Computer Science, Engineering, AI, Data Science or a related field. Experience leading engineering teams in frontend, full-stack, or AI product environments Strong expertise in modern frontend technologies (such as React, Angular, or Vue) Solid understanding of backend development (APIs, JavaScript/TypeScript, Node.js, Express or NestJS) Practical knowledge of AI/ML product concepts, including LLMs, RAG, embeddings, vector search, and prompt engineering Experience working with Python in AI/LLM contexts (model integration, orchestration, data processing, evaluation) Experience delivering enterprise-grade applications with strong focus on security, observability, and performance Familiarity with cloud platforms, preferably GCP (e.g. Cloud Run, BigQuery, Firestore, Cloud Storage, Vertex AI, Apigee) Strong collaboration and stakeholder management skills, with experience working across Product, UX, Engineering, and Architecture in agile environments What You'll love about working here Practical benefits: yearly financial bonus, private medical care with Medicover with additional packages (e.g., dental, senior care, oncology) available on preferential terms, life insurance and access to NAIS benefit platform. Access to over 70 training tracks with certification opportunities (e.g., GenAI, Excel, Business Analysis, Project Management) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, TED Talks and Udemy Business materials and trainings. Cutting-Edge Technology: Position yourself at the forefront of IT innovation, working with the latest technologies and platforms. Capgemini partners with top global enterprises, including 145 Fortune 500 companies. Enjoy hybrid working model that fits your life - after completing onboarding, connect work from a modern office with ergonomic work from home, thanks to home office package (including laptop, monitor, and chair). Ask your recruiter about the details. Get to know us Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued. Do you want to get to know us better? Check our Instagram — @capgeminipl or visit our Facebook profile — Capgemini Polska . You can also find us on YouTube . About Capgemini Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion.

🏢 Summary: Full Stack Engineer role focused on building and scaling a next-generation AI platform that connects employees with tools, data, and intelligent workflows. The position combines React frontend development, Node.js backend services, and Python-based AI components to deliver production-ready, user-facing AI solutions. It emphasizes scalability, secure integrations, cloud deployment, and rapid iteration in AI-driven environments. 🗂️ Requirements: Degree in Computer Science, Engineering or equivalent experience, Strong full-stack development experience (frontend and backend), Expertise in React and modern frontend practices, Experience with Node.js and JavaScript/TypeScript backend frameworks, Strong Python skills in AI or data-processing contexts, Understanding of APIs, microservices, authentication and secure integrations, Familiarity with LLMs, RAG, embeddings and prompt engineering, Experience with cloud platforms, CI/CD and Docker 📃 Skills: React, JavaScript, TypeScript, Node.js, Express, NestJS, Python, LLM, RAG, Embeddings, APIs, Microservices, OAuth, Docker, GCP, CI/CD 🏢 Description: Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Your role As a Full Stack Engineer for Neo at Capgemini, this role focuses on building the next generation of a Group-wide AI platform connecting employees with tools, data, and intelligent workflows. It combines frontend, backend, and AI-powered product development, with a strong emphasis on scalability, technical quality, and fast iteration. The work directly contributes to shaping user-facing AI solutions and delivering reliable, production-ready systems. Your tasks Build interactive and scalable frontend applications using React with a focus on performance and usability Develop backend services and APIs with JavaScript/TypeScript and Node.js frameworks (Express.js, NestJS) Create Python-based AI/LLM components, data-processing logic and automation scripts Develop middleware connecting frontend, AI backends, and enterprise systems (sessions, prompts, routing, permissions) Support AI-driven product features such as conversational interfaces, RAG flows, and structured responses Integrate with enterprise systems, SaaS platforms, and automation tools Work with cloud services (preferably GCP) to enable scalable and production-ready deployments Collaborate cross-functionally and prototype, test, and iterate in fast-changing AI environments Your profile Degree in Computer Science, Engineering, or equivalent practical experience Strong hands-on full-stack experience across frontend, backend, and APIsSolid expertise in React and modern frontend development practices Experience with Node.js, JavaScript/TypeScript, and backend frameworks Strong Python skills, ideally applied in AI/LLM or data-processing contexts Good understanding of APIs, microservices, authentication, and secure integrations Familiarity with AI application patterns such as LLMs, RAG, embeddings, and prompt engineering Experience with cloud platforms, CI/CD, Docker, and complex systems, combined with a product-oriented mindset What You'll love about working here Well-being culture: medical care with Medicover, private life insurance, and sports card. But we went one step further by creating our own Capgemini Helpline offering therapeutical support if needed and the educational podcast "Let's talk about wellbeing" which you can listen to on Spotify. Access to over 70 training tracks with certification opportunities (e.g., GenAI, Architects, Google) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, TED Talks and Udemy Business materials and trainings. Cutting-Edge Technology: Position yourself at the forefront of IT innovation, working with the latest technologies and platforms. Capgemini partners with top global enterprises, including 145 Fortune 500 companies. Community Hub that will allow you to choose from over 20 professional communities that gather people interested in, among others: Salesforce, Java, Could, IoT, Agile, AI. Get to know us Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued. Do you want to get to know us better? Check our Instagram — @capgeminipl or visit our Facebook profile — Capgemini Polska . You can also find us on YouTube . About Capgemini Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion.

🏢 Summary: Permanent Cloud Platform Architect role focused on designing and governing Azure-based cloud architectures for large-scale data and analytics platforms. The position involves end-to-end infrastructure design, automation, security, and modernization initiatives within enterprise environments. The role also includes mentoring teams and translating business needs into secure, scalable cloud solutions. 🗂️ Requirements: 8+ years of experience in IT infrastructure, networking, architecture, administration, or security, Extensive experience as Cloud Architect or senior engineer on Microsoft Azure, Deep expertise in Azure architecture, security, performance optimization, and governance, Strong scripting and automation skills with Terraform, Knowledge of cloud networking, identity, and security concepts, Ability to design end-to-end Azure infrastructure and automation pipelines, Experience in creating and using high-level architecture models, Strong communication skills to engage technical and non-technical stakeholders 📃 Skills: Azure, Terraform, Cloud, Networking, Security, Governance, Automation, Scripting, DevOps, Docker, Kubernetes 🏢 Description: Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Your role The Cloud Platform Architect is a permanent role in support of CIS delivery tools responsible for the detailed technical design of real-time monitoring, alerting, automation, Service Management and Reporting of the enterprise infrastructure (Network, Servers, Storage, Databases, etc.) and applications for the CIS managed services offering. This role is positioned in the Deploy & Run organization and works closely with Design & Build teams adopting, applying standard designs in secure/sovereign client environments, and supporting platform run. Your tasks Define and design Azure cloud architecture for large-scale data and analytics platforms Architect end-to-end infrastructure landscape and automation pipelines on Azure Guide and mentor engineering teams in cloud and data best practices Ensure security, compliance, and cost optimization of cloud solutions Act as a trusted advisor to business stakeholders, translating business needs into technical solutions Drive cloud modernization and strategy initiatives Your profile Extensive experience as a Cloud Architect or senior engineer on Microsoft Azure. Deep expertise of Azure platform (architecture, security, performance optimization, governance) Strong scripting / coding / automation skills – especially in Terraform Knowledge of cloud networking, identity, and security concepts Good communication and leadership skills to engage technical and non-technical stakeholders Experience in development, visualizing and using high-level models Collaborative team member with excellent communication skills; approachable, pragmatic and able to achieve buy-in 8+ years of experience in IT infrastructure, networking, architecture, administration, or security Nice to Have Microsoft Certified: Azure Solutions Architect Expert Knowledge of DevOps and containerization (Docker, Kubernetes) What You'll love about working here Well-being culture: medical care with Medicover, private life insurance, and Sports card. But we went one step further by creating our own Capgemini Helpline offering therapeutical support if needed and the educational podcast "Let's talk about wellbeing" which you can listen to on Spotify. Access to over 70 training tracks with certification opportunities (e.g., GenAI, Excel, Business Analysis, Project Management) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, TED Talks and Udemy Business materials and trainings. Continuous feedback and ongoing performance discussions thanks to our performance management tool GetSuccess supported by a transparent performance management policy. Enjoy hybrid working model that fits your life - after completing onboarding, connect work from a modern office with ergonomic work from home, thanks to home office package (including laptop, monitor, and chair). Ask your recruiter about the details. Get to know us Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued. Do you want to get to know us better? Check our Instagram — @capgeminipl or visit our Facebook profile — Capgemini Polska . You can also find us on YouTube . About Capgemini Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations.

🏢 Summary: The role focuses on developing and maintaining deep learning and LLM-based solutions to automate Service Desk tasks and broader automation initiatives. It involves building Python-based integrations with external systems and collaborating within a global Cognitive and Robotics team. The position emphasizes AI-driven automation within cloud infrastructure services. 🗂️ Requirements: Hands-on experience with Large Language Models (LLM), Proficiency in Python, Experience with PyTorch or TensorFlow, Experience with API integration, Knowledge of machine learning concepts, Ability to develop deep learning models, Fluent English 📃 Skills: Python, PyTorch, TensorFlow, LLM, MachineLearning, DeepLearning, API, ServiceNow, Remedy, MicrosoftTeams, Transformer, BERT, NLP, NLU 🏢 Description: Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. YOUR TASKS Develop and maintain deep learning models to automate a variety of common Service Desk tasks Build integrations with external systems such as ServiceNow, Remedy, and Microsoft Teams (using Python) Work on additional automation initiatives beyond deep learning, primarily using Python Collaborate within the Cognitive and Robotics team in Cloud Infrastructure Services Exchange knowledge and experience with consultants, subject matter experts, and architects across the globe YOUR PROFILE Well-educated or sufficiently self-taught in machine learning and information development Hands-on experience with Large Language Models (LLM) Fluent in: Python, PyTorch or Tensorflow Experience working with API integration A strong devotion for structure and a genuine affection for solving problems Excellent communication skills & ability to work effectively as a team player Fluent English Nice to have: A good understanding of Transformer architecture Experience working with BERT or similar state of the art Transformer architectures A good understanding of NLP and NLUExperience with creating reusable libraries Ability to find automation possibilities, defining the scope and execute proper solutions WHAT YOU’LL LOVE ABOUT WORKING HERE Practical benefits: yearly financial bonus, private medical care with Medicover with additional packages (e.g., dental, senior care, oncology) available on preferential terms, life insurance and access to NAIS benefit platform. Access to over 70 training tracks with certification opportunities (e.g., GenAI, Excel, Business Analysis, Project Management) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, Pluralsight, TED Talks, Coursera and Udemy Business materials and trainings. Cutting-Edge Technology: Position yourself at the forefront of IT innovation, working with the latest technologies and platforms. Capgemini partners with top global enterprises, including 145 Fortune 500 companies. Enjoy hybrid working model that fits your life - after completing onboarding, connect work from a modern office with ergonomic work from home, thanks to home office package (including laptop, monitor, and chair). Ask your recruiter about the details. GET TO KNOW US Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued. Do you want to get to know us better? Check our Instagram — @capgeminipl or visit our Facebook profile — Capgemini Polska . You can also find us on YouTube . ABOUT CAPGEMINI Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 360,000 team members globally in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. Apply now!