👉 Senior N8N Engineer

🏢 Summary: Senior Workflow Automation Engineer role focused on designing and implementing advanced, AI-driven workflow automation solutions using n8n and scalable system integrations. The position involves building complex automation workflows, AI pipelines (including RAG and embeddings), OCR/NLP processing, and API-based services in a production-grade environment. Fully remote long-term cooperation with high technical ownership and impact on scalable automation architecture. 🗂️ Requirements: Minimum 5 years of professional experience, Strong experience with n8n or similar workflow automation tools, Proficiency in Python, Proficiency in JavaScript, Practical experience with AI/ML including embeddings and prompt engineering, Experience with NLP workflows, Experience with OCR pipelines and document processing, Knowledge of RAG architecture, Experience with vector databases, Strong understanding of API integrations, Experience with asynchronous and event-driven processing, Proficiency with FastAPI and REST API, Experience with PostgreSQL and NoSQL databases 📃 Skills: n8n, Python, JavaScript, OpenAI, Embeddings, RAG, NLP, OCR, Redis, FastAPI, REST, PostgreSQL, NoSQL, Qdrant, Transformers, APIs, AI, ML, Prompting, VectorDB 🏢 Description: Be in IT to firma rekrutacyjna, wyspecjalizowana w poszukiwaniu Specjalistów z branży technologii informatycznych. Obecnie, dla naszego klienta, poszukujemy osoby na stanowisko Senior Workflow Automation Engineer. Zakres obowiązków: Projektowanie i wdrażanie zaawansowanych rozwiązań automatyzacji workflow przy użyciu n8n, ze szczególnym uwzględnieniem procesów opartych na AI oraz skalowalnej integracji systemów. Projektowanie, budowanie i utrzymywanie złożonych workflow automatyzacji w n8n, integrujących wiele systemów i API. Tworzenie pipeline opartych na AI, wykorzystujących OpenAI, embeddings oraz architekturę RAG. Implementacja pipeline OCR i workflow NLP przy użyciu języka Python oraz modeli opartych na transformatorach. Budowanie i optymalizacja asynchronicznych, zdarzeniowych procesów z wykorzystaniem kolejek (np. Redis). Tworzenie i udostępnianie usług za pomocą FastAPI oraz REST API. Integracja i zarządzanie danymi z wykorzystaniem PostgreSQL, NoSQL oraz wektorowych baz danych (np. Qdrant). Transformacja złożonych wymagań biznesowych na skalowalne rozwiązania techniczne i logikę workflow. Zapewnienie niezawodności, wydajności oraz łatwości w utrzymaniu systemów automatyzacji. Oczekujemy: Minimum 5 lat doświadczenia zawodowego. Dużego doświadczenia z n8n lub podobnymi narzędziami do automatyzacji workflow. Solidnej znajomości języków Python i JavaScript. Praktycznego doświadczenia z AI/ML, w tym z embeddings, prompt engineering i workflow NLP. Doświadczenia z pipeline OCR oraz przetwarzaniem dokumentów. Znajomości architektury RAG oraz wektorowych baz danych. Bardzo dobrego zrozumienia integracji API i przetwarzania asynchronicznego. Biegłości w wykorzystywanym stosie technologicznym: n8n, Python, JavaScript, FastAPI, REST API, PostgreSQL, NoSQL, Qdrant (lub podobne wektorowe bazy danych). Mile widziane doświadczenie w projektowaniu skalowalnych systemów automatyzacji klasy produkcyjnej. Mile widziane podejście DevOps oraz doświadczenie z konteneryzacją. Znajomość języka angielskiego na poziomie B2 lub C1 – umożliwiająca swobodną komunikację w międzynarodowym środowisku. Mile widziana dostępność ASAP; akceptowalny jest maksymalnie miesięczny okres wypowiedzenia ze skutkiem na koniec miesiąca. Oferujemy: Długofalowa współpraca z wynagrodzeniem w przedziale 130-150 PLN netto/godz. + VAT. Wsparcie przy zakładaniu i prowadzeniu działalności gospodarczej, dla osób bez takiego doświadczenia. Sprawny proces rekrutacyjny - jedna, maksymalnie dwie rozmowy techniczne z managerami, online (każda po godzinie). Współpraca w godzinach 9:00-17:00, możliwa lekka elastyczność. Współpraca w pełni zdalna. Benefity - prywatna opieka medyczna, karta Multisport. Nowoczesny sprzęt zapewniany przez firmę, wraz z softem i konfiguracją.

🏢 Summary: Offer for a technical specialist responsible for building and optimizing advanced automations using n8n, AI integrations, and Google ecosystem tools. The role focuses on designing complex workflows, integrating APIs and LLMs, and developing automation scripts and front-end components. Position involves production deployments, performance optimization, and AI-driven process automation. 🗂️ Requirements: Very good knowledge of n8n, Design of complex workflows with conditional logic and error handling, API integrations and webhook implementation, Creation of custom nodes in n8n, Debugging and optimization of automation processes, Production deployments (self-hosted or cloud), Practical use of AI tools in development process, Integration of LLM or OpenAI API in business processes, API-first approach, Experience with Google Apps Script and Google Sheets automation, Front-end development with Vue.js, JavaScript, HTML, CSS proficiency 📃 Skills: n8n, API, Webhooks, LLM, OpenAI, Claude, JavaScript, Vue, HTML, CSS, AppsScript, GoogleSheets, GCP, REST, JSON 🏢 Description: Nasze wymagania Bardzo dobra znajomość n8n (kluczowe): projektowanie i budowa złożonych workflowów (logika warunkowa, error handling, retry) integracja API, webhooki, custom node’y debugowanie, optymalizacja i utrzymanie procesów wdrożenia produkcyjne (self-hosted / cloud) Biegłość w wykorzystaniu AI w procesie developmentu (np. Claude Code): przyspieszenie tworzenia automatyzacji i integracji wsparcie w debugowaniu, refaktoryzacji i budowie logiki Doświadczenie w integracji AI (LLM / OpenAI API) w procesach biznesowych Umiejętność pracy w podejściu API-first i łączenia wielu systemów Umiejętność identyfikowania wąskich gardeł, skracania czasu wykonania procesów, redukcji kosztów operacyjnych Świadomość kosztów i ograniczeń rozwiązań AI oraz ich optymalizacja Twój zakres obowiązków Tworzenie i rozwijanie skryptów automatyzujących pracę w G Suite – głównie Google Spreadsheet (Apps Script) Budowanie i optymalizowanie komponentów front-endowych w oparciu o Vue.js, JavaScript, HTML, CSS Pisanie formuł i automatyzowanie procesów w Google Sheets Projektowanie automatyzacji opartych o AI (klasyfikacja, analiza danych, generowanie treści, decision flows) To oferujemy Stabilne zatrudnienie w firmie rozwijającej się w oparciu o automatyzację i dane Realny wpływ na kształtowanie procesów i technologii Możliwość wdrażania własnych pomysłów Elastyczne godziny pracy i możliwość pracy zdalnej Prywatna opieka medyczna i karta Multisport Szkoła Nauki Jazdy GAZeLka Jesteśmy największą szkołą jazdy w Warszawie i najnowocześniejszą w Polsce. Od ponad 10 lat kształcimy przyszłych kierowców, a nasz zespół liczy dziś ponad 100 specjalistów – instruktorów, wykładowców, doradców i ekspertów. Dysponujemy flotą niemal 100 pojazdów różnych kategorii, dzięki czemu szkolimy kompleksowo – od kat. B po kursy zawodowe C, D i kwalifikacje. Ale to nie wszystko. Wyróżnia nas technologiczne podejście do nauki jazdy. Jako pierwsi w branży szkoleniowej wdrażamy rozwiązania oparte na AI, automatyzujemy procesy, analizujemy dane i stale ulepszamy doświadczenie kursantów. Tworzymy środowisko, w którym nowoczesne technologie wspierają naszych instruktorów i zespół operacyjny w zarządzaniu i optymalizacji procesów szkoleniowych. Jeśli chcesz pracować w firmie, która przekształca oblicze edukacji kierowców, szukasz realnego wpływu, rozwoju i kontaktu z ludźmi – jesteśmy miejscem dla Ciebie.

🏢 Summary: The offer is for a Senior Platform Engineer responsible for designing, building, and operating scalable Kubernetes-based platforms on AWS. The role focuses on backend platform development, Infrastructure as Code with Terraform, CI/CD automation, and improving developer experience through self-service and multi-tenant solutions. It involves driving reliability, observability, and automation across a cloud-native ecosystem. 🗂️ Requirements: 5+ years of experience as a Platform Engineer, Strong hands-on experience with Kubernetes, including cluster operations, Strong programming skills in TypeScript or Go, Experience with AWS or other cloud platforms, Experience with Infrastructure as Code tools, preferably Terraform, Experience with CI/CD pipelines and deployment automation, Experience designing scalable multi-tenant systems, Strong understanding of API and platform architecture, Solid Linux and networking fundamentals, Experience with observability and monitoring solutions, Experience building self-service platform capabilities, Practical experience using AI-powered coding assistants, Work permit and residence in the European Union 📃 Skills: Kubernetes, AWS, Terraform, TypeScript, Go, Python, CI/CD, Linux, Networking, APIs, Docker, OpenTelemetry, Backstage, GitHub, Claude, Cursor 🏢 Description: 🟣 You will be: designing, building, and operating scalable Kubernetes-based platform infrastructure, developing backend platform services and reusable engineering components, building and maintaining cloud-native solutions (primarily on AWS), creating and evolving Infrastructure as Code solutions using Terraform, designing and implementing CI/CD pipelines and deployment automation, developing scalable multi-tenant platform capabilities for engineering teams, building self-service developer platform features and internal tooling, designing and maintaining APIs and platform architecture standards, improving platform reliability, observability, and monitoring capabilities, collaborating with engineering teams to improve developer experience and platform adoption, contributing to platform engineering best practices and technical standards, supporting container platform operations and orchestration processes, driving automation and operational excellence across the platform ecosystem. 🟣 Your profile: 5+ years of experience as a Platform Engineer, practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery, strong hands-on experience with Kubernetes, including cluster operations and orchestration concepts, strong backend engineering background, strong programming skills in TypeScript and/or Go; Python experience is a plus, solid experience with cloud platforms, preferably AWS, practical experience with Infrastructure as Code tools, preferably Terraform, experience with CI/CD pipelines and deployment orchestration, experience designing scalable multi-tenant systems, strong understanding of API and platform architecture, solid Linux and networking fundamentals, experience with observability and monitoring solutions, experience building reusable self-service platform capabilities for developers, good English communication skills (at least B2 level). 🟣 Nice to have: experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work, interest in and familiarity with emerging AI-driven practices (e.g. agent-based workflows, automation patterns, AI-augmented development), with a willingness to explore and experiment beyond standard approaches, experience with Internal Developer Platforms (IDP), experience building Kubernetes operators and controllers, experience with Backstage or developer portal tooling, experience in container runtime or platform engineering, knowledge of event-driven and distributed systems architecture, experience with service mesh technologies and OpenTelemetry. Work from the European Union region and a work permit are required. 🟣 Recruitment Process: CV review – HR Call – Interview – Client Interview – Decision 🎁 Benefits 🎁 ✍ Development: development budget of up to 6,800 PLN, we fund certifications e.g.: AWS, Azure, ISTQB, PSM, access to Udemy, Safari Books Online and more, events and technology conferences, technology Guilds, internal training, Xebia Library, Xebia Upskill. 🩺 We take care of your health: private medical healthcare, multiSport card - we subsidise a MultiSport card, mental Health Support. 🤸‍♂️ We are flexible: flexible working hours, B2B or permanent contract, contract for an indefinite period.

🏢 Summary: Two AI Automation Engineer roles focused on building production-grade Generative AI automation for internal helpdesk operations. The role combines LLM and prompt engineering, N8N workflow automation, and AWS platform engineering to deliver reliable, scalable support solutions. 🗂️ Requirements: 3+ years of experience with LLMs, prompt engineering, AI integration patterns, and MCPs, Hands-on experience with Generative AI models and tools, Platform engineering experience with cloud expertise, preferably AWS, Practical experience with N8N or similar automation tools, Hands-on experience with Codex or a similar tool, Experience automating Jira and Slack workflows, Strong troubleshooting skills, Collaborative, team-first approach 📃 Skills: LLMs, MCP, N8N, AWS, Codex, Jira, Slack, GenAI, Prompting 🏢 Description: We are looking for two AI Automation Engineers to join a fast-moving initiative focused on automating and scaling internal helpdesk operations through Generative AI. This hands-on engineering role involves designing, building, and maintaining intelligent automation solutions that combine large language models, workflow orchestration, and cloud infrastructure. You will help internal teams get support and resolve issues faster by building production-grade AI systems. Key Responsibilities - Design and maintain scalable GenAI solutions using N8N and AWS. - Develop and continuously enhance the AI helpdesk bot built on N8N. - Collaborate with cross-functional teams across Support, IT, and Engineering to align automation solutions with business goals. - Implement infrastructure automation, CI/CD pipelines, and observability practices to keep systems reliable and maintainable. - Troubleshoot and resolve issues across integrated systems, ensuring smooth end-to-end automation flows. Must Have - 3+ years of experience with LLMs, prompt engineering, AI integration patterns, and MCPs (Model Context Protocol). - Hands-on experience with Generative AI models and tools. - Platform engineering experience with cloud expertise, preferably AWS. - Practical experience with automation tools such as N8N. - Strong troubleshooting skills and a collaborative, team-first mindset. - Hands-on experience with Codex or similar. - Experience automating workflows involving Jira and Slack. Nice to Have - Proficiency in infrastructure as code using CDK, written in TypeScript/Node.js, to manage AWS services including Amazon Bedrock and Agent Core. - Familiarity with Docker and Kubernetes; the project does not currently define specific Kubernetes tasks. - Experience with CI/CD systems such as GitHub Actions. - Experience automating workflows involving Okta and M365.

🏢 Summary: The offer is for a seasoned Software Engineer to build and evaluate AI agents within an enterprise platform that automates complex business workflows. The role focuses on backend development, creating self-service tools for non-technical users, and establishing quality standards and evaluation frameworks for AI agents. It involves developing integrations with corporate systems and refining prompts and ontologies to ensure high-quality agent performance. 🗂️ Requirements: 4+ years experience as Software Engineer, Strong backend development experience, Hands-on experience with Python, Experience with AWS, Experience developing and deploying AI agents, Experience building integrations with enterprise systems, Ability to design and maintain evaluation frameworks, English proficiency (written and spoken) 📃 Skills: Python, AWS, SQL, Bedrock, AI, APIs, Backend, Cloud 🏢 Description: Team Summary The team is responsible for developing and maintaining an enterprise AI agent platform that enables teams across the organization to automate complex business workflows using autonomous AI agents. Key focus areas include: developing and evaluating AI agents for priority business use cases, establishing quality standards and reusable components for agent development, and creating self-service tools that allow non-technical teams to build and configure agents independently. Role Summary We are looking for a seasoned Software Engineer with proven expertise in backend development and a focus on AI agents. In this role, you will develop and evaluate AI agents that automate key business workflows, build self-service tools that enable non-technical teams to create and configure agents independently, and establish quality baselines across multiple business use cases. Responsibilities and Duties Develop, test, and deploy AI agents Rapidly prototype new agents and validate quality iteratively with business teams Build and maintain an agent evaluation framework Create self-service tools and reusable templates that enable non-technical teams to launch agents independently Develop integrations and connectors to link AI agents with corporate systems Design and refine prompts, contexts, and ontologies for agent quality Qualifications and Skills 4+ years of experience as a Software Engineer Hands-on experience with Python Experience with cloud platforms (AWS) Good written and spoken English Nice to have Proven experience automating business workflows with AI Agents Experience with agent evaluation and observability tools Previous experience with Amazon Bedrock or similar Knowledge of SQL We offer multiple benefits that include The environment of equal opportunities, transparent and value-based corporate culture and an individual approach to each team member Competitive salary packages with performance-based annual reviews Opportunity to receive a Performance Bonus for your individual achievements and a Loyalty Bonus recognizing your dedication to the company Employment via Contract of Employment (UoP) in complete alignment with Polish Labour Law Guaranteed paid vacation, public holidays, and medical leaves as per statutory regulations Continuous growth and development opportunities through internal knowledge hubs, corporate courses, and free English classes Comprehensive private medical insurance to supplement your standard NFZ coverage

🏢 Summary: The role involves developing and maintaining high-performance backend systems for advertising and e-commerce platforms, focusing on scalable microservices and real-time data processing using Kotlin and Spring Boot. You will design low-latency services, contribute to system architecture, and support production environments in a high-scale setting. The position also emphasizes AI-assisted development practices and collaboration within engineering teams. 🗂️ Requirements: 3+ years of backend development experience, Very good knowledge of Kotlin, Very good knowledge of Spring Boot, Hands-on experience with microservices architecture, Experience with NoSQL databases, Experience with MongoDB, Experience building and maintaining backend systems and APIs, Understanding of system design and scalable architecture, Experience with high-performance and high-scale systems, English B2 level, Polish C1 level, Work permit in the European Union, Openness to occasional visits to Warsaw office, Experience using AI-powered coding assistants 📃 Skills: Kotlin, SpringBoot, MongoDB, NoSQL, Microservices, REST, APIs, GenAI, Claude, GitHubCopilot, Cursor, AWS, Azure 🏢 Description: 🟣 You will be: developing and maintaining backend systems for advertising and e-commerce platforms, building low-latency, high-performance services processing large volumes of data, developing scalable microservices and APIs using Kotlin and Spring Boot, working on real-time event processing and advertising targeting mechanisms, contributing to architecture design and system scalability improvements, collaborating with stakeholders and supporting engineering best practices, including code reviews and code quality standards, participating in technical readiness/on-call support for production incidents a few days per month. 🟣 Your profile: 3+ years of professional experience in backend development, very good knowledge of Kotlin and Spring Boot, openness to occasional visits to the Warsaw office (1–2 days per quarter), hands-on experience with microservices architecture, practical experience working with NoSQL databases, especially MongoDB, experience building and maintaining backend systems and APIs, understanding of system design and scalable architecture principles, experience working with high-performance and high-scale systems, strong analytical thinking and problem-solving skills, ability to collaborate effectively with stakeholders and engineering teams, good communication skills in English (B2) and Polish (C1), practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery. Work from the European Union region and a work permit are required. 🟣 Nice to have: experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work, interest in and familiarity with emerging AI-driven practices (e.g. agent-based workflows, automation patterns, AI-augmented development), with a willingness to explore and experiment beyond standard approaches. 🟣 Recruitment Process: CV review – HR call – Technical Interview – Client Interview – Decision 🎁 Benefits 🎁 ✍ Development: development budgets of up to 6,800 PLN, we fund certifications e.g.: AWS, Azure, access to Udemy, O'Reilly (formerly Safari Books Online) and more, events and technology conferences, technology Guilds, internal training, Xebia Upskill. 🩺 We take care of your health: private medical healthcare, multiSport card - we subsidise a MultiSport card, mental Health Support. 🤸‍♂️ We are flexible: B2B or employment contract, contract for an indefinite period.

🏢 Summary: The offer is for a backend-focused AI Engineer role building a modern AI platform for business process automation and multi-agent system integration in a production-grade enterprise environment. The position centers on developing scalable Python-based services, secure API integrations, and cloud-native AI solutions using LLMs and RAG. The role involves designing robust, secure, and scalable architectures deployed on AWS or Azure with containerized infrastructure. 🗂️ Requirements: Extensive experience in backend development with Python in production environments, Hands-on experience with AI Agents, RAG, MCP, or LLM-based solutions, Experience with system integrations and API architecture, Experience with scalable cloud-based applications, Experience with AWS or Azure, Experience with Docker and Kubernetes, Experience designing secure and scalable enterprise solutions, Experience with multi-agent systems and workflow automation, Ability to conduct code reviews and mentor developers, Fluent English and Polish 📃 Skills: Python, LLM, RAG, MCP, AWS, Azure, Docker, Kubernetes, API, Microservices, Cloud, AI, Agents 🏢 Description: Additional information The project focuses on building and developing a modern AI platform supporting business process automation and the integration of intelligent agents with enterprise systems. The team is creating scalable solutions based on Python, cloud technologies, and multi-agent architecture, leveraging technologies such as LLMs, RAG, and advanced workflow automation. A key aspect of the project is designing secure integrations between AI platforms, internal systems, and external APIs within a production-grade environment. The project is delivered in an international technology-driven environment with a strong focus on innovation, high-quality architecture, and the development of cutting-edge AI solutions for a global industrial organization. You’re ideal for this role if you: Have extensive experience in backend development with Python in production environments Have hands-on experience with AI technologies such as AI Agents, RAG, MCP, or LLM-based solutions Understand system integrations, API architecture, and scalable cloud-based applications Have worked with AWS or Azure and containerized environments such as Docker and Kubernetes Are experienced in designing secure and scalable enterprise solutions Have strong problem-solving skills and can proactively remove technical blockers Enjoy working closely with cross-functional teams in an international environment Have experience mentoring developers, conducting code reviews, and promoting engineering best practices Are interested in modern AI architectures, workflow automation, and multi-agent systems Communicate fluently in English and Polish and feel comfortable working in a global setup Your day-to-day responsibilities include:​ Designing and developing scalable backend services and AI-driven integration solutions in Python Building and maintaining APIs, connectors, and middleware between AI platforms and enterprise systems Creating and optimizing multi-agent workflows and intelligent automation processes Collaborating with AI Engineers, Data Engineers, and other technical stakeholders on system architecture and integrations Integrating external AI platforms, internal tools, and cloud services into production environments Working with cloud technologies and containerized infrastructure in AWS or Azure environments Improving the quality, reliability, and performance of AI-powered solutions and LLM-based workflows Conducting code reviews, mentoring team members, and supporting engineering best practices Troubleshooting technical issues, identifying bottlenecks, and driving continuous improvements Contributing to technical documentation, architecture discussions, and innovation initiatives across the team

🏢 Summary: The role focuses on designing, delivering, and operating a global AWS network backbone across multiple regions, with emphasis on Cloud WAN, centralized egress architectures, and automation-first infrastructure. It involves building secure, scalable, and cost-efficient network solutions using Infrastructure as Code and driving network reliability through testing, monitoring, and continuous improvement. The position also includes hands-on technical leadership and implementation of network automation in complex multi-region environments. 🗂️ Requirements: 5+ years of network engineering experience in enterprise cloud environments, Deep hands-on expertise with AWS Cloud WAN and multi-region connectivity, Strong proficiency in Terraform for infrastructure as code, Experience designing centralized egress architectures with AWS Network Firewall, Experience delivering large-scale network infrastructure projects, Experience with network automation and DevOps practices, Ability to troubleshoot complex multi-region network issues, Experience with AI-powered coding assistants in software delivery, Work permit and residence within the European Union, Fluent English 📃 Skills: AWS, CloudWAN, Terraform, NetworkFirewall, VPC, Routing, Networking, Automation, DevOps, IaC, Git, CI/CD, Monitoring, Firewall, AI 🏢 Description: 🟣 You will be: delivering the entire global network backbone infrastructure across multiple AWS regions, building centralised egress architectures using AWS Network Firewall to ensure secure, scalable, and cost-effective traffic management across all regions, building and maintaining AWS Cloud WAN infrastructure to provide seamless connectivity and routing across the global network footprint, developing and maintaining infrastructure as code using Terraform to ensure consistent, repeatable, and version-controlled network deployments, collaborating with security architects, cloud engineers, and other stakeholders to gather requirements and translate them into robust network architectures and technical specifications, driving the implementation of network automation and self-service capabilities to enable parallel development and incremental delivery of network services, leading by example through hands-on technical work while mentoring other network engineers and providing technical guidance and knowledge sharing, ensuring the reliability, performance, and security of network infrastructure through comprehensive testing, monitoring, and continuous improvement, driving the adoption of best practices in network engineering, including infrastructure as code and automation-first approaches, troubleshooting and resolving complex network issues across multi-region environments on time, staying up to date with the latest AWS networking services, industry trends, and technologies to ensure the infrastructure remains competitive and efficient. 🟣 Your profile: 5+ years of experience in network engineering with a strong focus on enterprise cloud networking solutions, practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery, deep hands-on expertise in AWS Cloud WAN, including configuration, routing policies, and multi-region connectivity, strong proficiency in Terraform and proven experience managing complex network infrastructure deployments, extensive experience designing and implementing centralised egress architectures using AWS Network Firewall, including policy management and traffic inspection, proven track record of delivering large-scale network infrastructure projects in fast-paced environments, excellent problem-solving skills with the ability to think critically and creatively about complex network challenges, strong communication and collaboration skills with the ability to work effectively in cross-functional and team-oriented environments, experience working with agile methodologies and DevOps practices applied to network infrastructure, ability to use a data-driven approach to network optimisation, capacity planning, and decision-making, fluent English communication skills. 🟣 Nice to have: experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work, interest in and familiarity with emerging AI-driven practices (e.g. agent-based workflows, automation patterns, AI-augmented development), with a willingness to explore and experiment beyond standard approaches. Work from the European Union region and a work permit are required. 🟣 Recruitment Process: CV review – HR Call – Interview – Client Interview – Decision 🎁 Benefits 🎁 ✍ Development: development budget of up to 6,800 PLN, we fund certifications e.g.: AWS, Azure, ISTQB, PSM, access to Udemy, Safari Books Online and more, events and technology conferences, technology Guilds, internal training, Xebia Library, Xebia Upskill. 🩺 We take care of your health: private medical healthcare, MultiSport card - we subsidise a MultiSport card, mental Health Support. 🤸‍♂️ We are flexible: flexible working hours, B2B or permanent contract, contract for an indefinite period.

🏢 Summary: The offer is for a senior DevOps/Platform Engineer role focused on building and scaling CI/CD pipelines, cloud infrastructure, and observability solutions to ensure high availability, reliability, and fast software delivery. The position involves working with Kubernetes, cloud platforms, GitOps, and AI-related tooling to support modern, scalable application environments. It requires strong hands-on technical leadership and expertise in automation, infrastructure as code, and monitoring. 🗂️ Requirements: 5+ years of experience with DevOps practices and Continuous Delivery, Hands-on experience with AWS and Azure services, Strong experience with Kubernetes (EKS, AKS) and container orchestration, Proficiency in Terraform and Helm, Experience with GitOps practices (e.g., ArgoCD), Experience with CI/CD pipelines (GitLab CI/CD, GitHub Actions or similar), Strong scripting skills in Bash and PowerShell, Python knowledge, Experience with monitoring and observability tools, Strong networking knowledge, Experience with AI Agents and Claude Code, Experience with FastMCP or other MCP libraries, Knowledge of security best practices (OWASP, encryption, secrets management), Upper intermediate/advanced English (B2/C1), Work permit and residence in the European Union 📃 Skills: AWS, Azure, Kubernetes, EKS, AKS, Terraform, Helm, ArgoCD, GitLab, GitHub, Python, Bash, PowerShell, Prometheus, Grafana, AppDynamics, OpenSearch, Claude, FastMCP, FluxCD, Harness, Rancher, Keycloak, Networking, GitOps, CI/CD 🏢 Description: 🟣 You will be: building and supporting the tools, processes and infrastructure empowering the faster delivery and scaling of software iterations (ideally with greater quality and the necessary operational insight), ensuring availability, reliability and scalability of application infrastructure, building and supporting continuous integration/delivery and release tools, ensuring the right metrics are collected and monitored. 🟣 Your profile: hands-on experience as a tech leader, smart and tech-savvy engineer with 5+ years of experience working with DevOps practices and Continuous Delivery, practical knowledge of AWS and Azure services, infrastructure and networking, solid experience with Kubernetes (EKS and AKS) and container orchestration, Python knowledge, strong networking skills, experience in Claude Code, experience in working with AI Agents, experience in FastMCP or other MCP libraries, hands-on with GitOps practices, preferably with ArgoCD, strong skills in Terraform and Helm, proficiency in Bash and PowerShell scripting, experience with CI/CD pipelines and tooling (GitLab CI/CD, GitHub Actions, or similar), experience with monitoring, observability, and logging tools, such as Prometheus, Grafana, AppDynamics, and OpenSearch, security awareness (OWASP, encryption, secrets management), very communicative and collaborative, with a strong sense of ownership, upper intermediate/advanced English (B2/C1). Work from the European Union region and a work permit are required 🟣 Nice to have: AWS/ Azure certifications such as Solutions Architect or Platform Engineer, familiarity with FluxCD, experience with Harness, experience with Rancher, knowledge of Keycloak. 🟣 Recruitment Process: CV review – HR Interview – Technical Interview - Client Interview – Decision 🎁 Benefits 🎁 ✍ Development: development budgets of up to 6,800 PLN, we fund certifications e.g.: AWS, Azure, access to Udemy, O'Reilly (formerly Safari Books Online) and more, events and technology conferences, technology Guilds, internal training, Xebia Upskill. 🩺 We take care of your health: private medical healthcare, multiSport card - we subsidise a MultiSport card, mental Health Support. 🤸‍♂️ We are flexible: B2B or employment contract, contract for an indefinite period.

🏢 Summary: The offer is for a Backend Developer role focused on building and maintaining high-performance, low-latency systems for advertising and e-commerce platforms. The position involves developing scalable microservices and APIs using Kotlin and Spring Boot, working with real-time event processing, and contributing to system architecture and scalability. The role also includes production support and collaboration within cross-functional engineering teams. 🗂️ Requirements: 3+ years of professional experience in Java backend development, Very good knowledge of Kotlin, Very good knowledge of Spring Boot, Hands-on experience with microservices architecture, Practical experience with NoSQL databases, Experience with MongoDB, Experience building and maintaining backend systems and APIs, Understanding of system design and scalable architecture principles, Experience with high-performance and high-scale systems, English level B2, Polish level C1, Experience with AI-powered coding assistants, Work permit for EU and ability to work from EU region, Availability for occasional visits to Warsaw office 📃 Skills: Java, Kotlin, Spring, SpringBoot, Microservices, MongoDB, NoSQL, REST, API, AI, Claude, Copilot, Cursor 🏢 Description: 🟣 You will be: developing and maintaining backend systems for advertising and e-commerce platforms, building low-latency, high-performance services processing large volumes of data, developing scalable microservices and APIs using Kotlin and Spring Boot, working on real-time event processing and advertising targeting mechanisms, contributing to architecture design and system scalability improvements, collaborating with stakeholders and supporting engineering best practices, including code reviews and code quality standards, participating in technical readiness/on-call support for production incidents a few days per month. 🟣 Your profile: 3+ years of professional experience in Java backend development, very good knowledge of Kotlin and Spring Boot, openness to occasional visits to the Warsaw office (1–2 days per quarter), hands-on experience with microservices architecture, practical experience working with NoSQL databases, especially MongoDB, experience building and maintaining backend systems and APIs, understanding of system design and scalable architecture principles, experience working with high-performance and high-scale systems, strong analytical thinking and problem-solving skills, ability to collaborate effectively with stakeholders and engineering teams, good communication skills in English (B2) and Polish (C1), practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery. immediate availability or a short notice period is preferred. Work from the European Union region and a work permit are required. 🟣 Nice to have: experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work, interest in and familiarity with emerging AI-driven practices (e.g. agent-based workflows, automation patterns, AI-augmented development), with a willingness to explore and experiment beyond standard approaches. 🟣 Recruitment Process: CV review – HR call – Technical Interview – Client Interview – Decision 🎁 Benefits 🎁 ✍ Development: development budgets of up to 6,800 PLN, we fund certifications e.g.: AWS, Azure, access to Udemy, O'Reilly (formerly Safari Books Online) and more, events and technology conferences, technology Guilds, internal training, Xebia Upskill. 🩺 We take care of your health: private medical healthcare, multiSport card - we subsidise a MultiSport card, mental Health Support. 🤸‍♂️ We are flexible: B2B or employment contract, contract for an indefinite period.