DevOps Engineer (Azure AI / Agentic Platform)

🏢 Summary: Backend role focused on designing and maintaining enterprise-grade cloud environments on Microsoft Azure for an advanced MCP-based AI platform. The position involves building scalable backend systems, multi-tenant architectures, and production-ready infrastructure supporting large-scale enterprise adoption. You will contribute to AI-driven, high-availability systems used by hundreds of thousands of users. 🗂️ Requirements: 5+ years commercial experience in scalable web applications and backend systems, Strong knowledge of .NET Framework and C#, Experience with ASP.NET MVC and Web API 2, Proficiency in MS SQL and Entity Framework, Experience designing and implementing REST APIs and GraphQL, Hands-on experience with Microsoft Azure services, Understanding of microservices architecture and API management, Knowledge of Cloud Design Patterns, Experience building Enterprise SaaS applications, Experience with Clean Architecture, DDD, CQRS, Event Sourcing, Knowledge of vector databases and semantic search in RAG systems, Experience integrating ML/AI APIs in production, Experience designing high-availability and high-volume systems, Familiarity with DevOps practices and Agile methodologies 📃 Skills: C#, .NET, ASP.NET, WebAPI, MSSQL, EntityFramework, REST, OData, GraphQL, Azure, AzureAppServices, AzureFunctions, CosmosDB, AzureServiceBus, AzureSQL, AzureSearch, Microservices, CQRS, DDD, CleanArchitecture, EventSourcing, DevOps, Agile, SaaS, MCP, ML, APIs, MLOps, VectorDB, RAG 🏢 Description: We build innovative digital products for the modern workplace in the Cloud, and we need your expertise. Want to work on backend systems that power real enterprise AI — not just another standard web application? Join us and help develop one of the first enterprise-grade MCP platform implementations in Poland. As part of our team, you will: Utilize your extensive knowledge of cloud computing, system integration, and software development, Design and maintain cloud environments on Microsoft Azure that serve as the experimental backbone for the MCP Graph Broker — one of the first implementations of its kind for enterprise AI in Poland, Configure and validate multi-tenant isolation, load balancing, and real-time monitoring mechanisms, ensuring that research on the Orchestration Layer translates into architecturally sound, scalable solutions, Prepare production-grade environments for enterprise-scale adoption — from controlled lab conditions through to infrastructure serving 500,000+ daily users across banking, retail, and public sector. Apply if you have: Proven 5+ years of commercial experience in building scalable web applications, backend services, and enterprise-grade systems, Strong knowledge of .NET Framework, ASP.NET MVC, Web API 2, MS SQL, Entity Framework, REST, and OData, Familiarity with Azure services and best practices (e.g., Azure App Services, Azure Functions, Cosmos DB, Azure Search, Azure Service Bus, Azure SQL), A solid understanding of Azure cloud services, microservices, and API management, Familiarity with Agile methodologies, DevOps practices, and modern software development tools, Knowledge and ability to apply Cloud Design Patterns, Experience in building Enterprise SaaS applications, Knowledge and experience of .NET / C# and design patterns: Clean Architecture, DDD, CQRS, Event Sourcing, Experience in designing and implementing REST API and GraphQL — with emphasis on enterprise-grade APIs, Knowledge of vector databases and semantic search techniques (e.g., Azure AI Search) in the context of RAG (Retrieval-Augmented Generation) systems, Knowledge of the MCP (Model Context Protocol) protocol or similar context protocols, and practical use of machine learning tools/ML/AI APIs in production environments, Experience in implementing AI API Layer solutions, Experience in designing solutions resilient to high data volumes and high availability, Experience in building application frameworks, Strong problem-solving skills, leadership qualities, and excellent communication abilities, A passion for technology and a keen eye for emerging trends, Fluency in Polish (C1+) and English (B2+), Ability to work from Białystok or surrounding areas; hybrid work model required (at least 3 days in the office + max 2 days remote per week), Higher technical education (computer science or related field). Nice to have: Familiarity with agent orchestration patterns: routing, memory management, tool use, human-in-the-loop, Experience with multi-tenant architecture — designing context separation, data isolation, and access policies in SaaS environments, Practical knowledge of conversational and dialogue models (fine-tuning, RLHF, prompt engineering for LLMs) — particularly for AI assistant scenarios. We offer: Salary of PLN 20,000–22,000 gross per month (employment contract), 18-month contract with the possibility of extension, Work and professional development while building a distributed enterprise-class cloud system based on AI as infrastructure, not as an add-on feature, Direct impact on the architecture of a platform used by hundreds of thousands of employees, Opportunity to explore Azure infrastructure solutions, the latest LLMs, and MLOps tools, Multi-directional professional development, certifications, and knowledge sharing, Flexible work model (hybrid), Benefits package (private healthcare, Multisport card).

🏢 Summary: Senior/Lead Cloud/DevOps Architect role focused on building and scaling an enterprise AI-native platform on Microsoft Azure, including one of the first MCP implementations in Poland. The position involves designing and maintaining secure, multi-tenant cloud environments, integrating enterprise systems via APIs, and enabling stable, production-grade AI/ML solutions. You will shape architecture for scalable SaaS systems with strong emphasis on security, reliability, and MLOps practices. 🗂️ Requirements: Minimum 5 years in senior/lead/architect cloud role, Commercial experience building scalable web applications, Experience in DevOps, DevSecOps or MLOps, Production CI/CD pipeline implementation and monitoring, Practical experience with Microsoft Azure services, Experience designing enterprise system integrations via APIs, Experience building connectors, adapters or integration layers, Knowledge of MCP or similar context protocols, Experience with ML/AI APIs in production environments, Strong knowledge of microservices architecture, Experience with multi-tenant SaaS architecture, Experience with Enterprise SaaS applications, Higher technical education (Computer Science or related), Polish C1+, English B2+, Hybrid work availability (3 days/week in office) 📃 Skills: Azure, AzureAppServices, AzureFunctions, CosmosDB, AzureSearch, AzureServiceBus, AzureSQL, CI/CD, AzureML, DevOps, DevSecOps, MLOps, Microservices, REST, GraphAPI, ServiceNow, OAuth2, OIDC, MCP, LLM, SaaS, Multi-tenant, LoadBalancing, Monitoring 🏢 Description: Tworzymy cyfrowe produkty dla nowoczesnego środowiska pracy oparte na chmurze, AI i technologiach, które realnie wspierają pracowników na całym świecie. Szukasz miejsca, w którym DevOps nie kończy się na utrzymaniu środowisk, ale ma bezpośredni wpływ na rozwój skalowalnych systemów AI klasy enterprise? Dołącz do Workai i pomóż nam budować jedno z pierwszych w Polsce wdrożeń MCP dla środowisk korporacyjnych. Jako część naszego zespołu będziesz: pracować z cloud computingiem, integracją systemów i rozwojem oprogramowania w kontekście platformy AI-native, projektować i utrzymywać środowiska Microsoft Azure, które będą fundamentem dla eksperymentalnego rozwoju MCP Graph Broker, konfigurować i walidować mechanizmy izolacji multi-tenant, load balancingu oraz monitoringu w czasie rzeczywistym, tak aby rozwiązania rozwijane w ramach R&D mogły działać stabilnie i skalowalnie, współtworzyć Security & Reliability Framework for MCP — jedno z pierwszych w Polsce rozwiązań tego typu dla środowisk enterprise. Aplikuj, jeśli masz: minimum 5 lat doświadczenia w roli seniorskiej, liderskiej lub architektonicznej w obszarze rozwiązań chmurowych, komercyjne doświadczenie w budowie skalowalnych aplikacji webowych oraz integracji systemów, doświadczenie w jednym z obszarów: DevOps, DevSecOps lub MLOps, w tym we wdrażaniu i monitoringu środowisk produkcyjnych z wykorzystaniem pipeline’ów CI/CD lub Azure ML CI/CD, praktyczną znajomość usług Azure i dobrych praktyk pracy z chmurą, m. in. Azure App Services, Azure Functions, Cosmos DB, Azure Search, Azure Service Bus czy Azure SQL, doświadczenie w projektowaniu i realizacji integracji systemów enterprise przez API, np. Microsoft 365 Graph API, ServiceNow REST API, OAuth2 lub OIDC, doświadczenie w budowie connectorów, adapterów lub warstw integracyjnych, znajomość protokołu MCP / Model Context Protocol lub podobnych protokołów kontekstowych oraz praktyczne doświadczenie z narzędziami ML / AI API w środowiskach produkcyjnych, dobrą znajomość architektury mikroserwisowej, zarządzania API oraz usług chmurowych wykorzystywanych w systemach enterprise, doświadczenie z architekturą multi-tenant, w tym izolacją kontekstu, zarządzaniem zasobami i politykami dostępu w środowiskach SaaS, umiejętność analitycznego myślenia, samodzielnego rozwiązywania problemów i jasnego komunikowania złożonych zagadnień technicznych, pasję do technologii i uważność na nowe trendy w obszarze chmury, AI oraz systemów agentowych, doświadczenie w budowie aplikacji Enterprise SaaS, bardzo dobre umiejętności komunikacyjne i gotowość do współpracy z zespołami technicznymi oraz biznesowymi, dbałość o szczegóły, jakość rozwiązań i stabilność tworzonych systemów, znajomość języka polskiego na poziomie C1+ oraz języka angielskiego na poziomie B2+ w mowie i piśmie, możliwość pracy w modelu hybrydowym z Białegostoku lub okolic — minimum 3 dni w tygodniu z biura i maksymalnie 2 dni pracy zdalnej, wykształcenie wyższe techniczne, najlepiej informatyczne lub pokrewne. Mile widziane : praktyczne doświadczenie z modelami konwersacyjnymi i dialogowymi, w tym fine-tuningiem, RLHF oraz prompt engineeringiem dla LLM, szczególnie w kontekście asystentów AI, doświadczenie w integracji systemów enterprise przez API, np. Microsoft 365 Graph API lub ServiceNow REST API, w roli developera connectorów, adapterów lub integracji MCP, znajomość systemów multi-agentowych projektowanych dla środowisk enterprise, certyfikaty Azure, np. Developer Associate / AZ-204, Solutions Architect Expert / AZ-305 lub równoważne, doświadczenie z ewaluacją modeli AI, w tym projektowaniem eksperymentów i oceną jakości modeli ML. Oferujemy : wynagrodzenie 20 000–22 000 PLN brutto miesięcznie na umowie o pracę oraz 18-miesięczną umowę z możliwością przedłużenia, udział w budowie rozproszonego systemu chmurowego klasy enterprise, w którym AI jest integralną częścią infrastruktury, realny wpływ na decyzje architektoniczne w produkcie używanym przez setki tysięcy pracowników, pracę z nowoczesnymi usługami Azure, najnowszymi modelami LLM oraz narzędziami MLOps, możliwość rozwoju w wielu kierunkach — od certyfikacji, przez wymianę wiedzy, po udział w projektach R&D, elastyczny model pracy hybrydowej, pakiet benefitów obejmujący prywatną opiekę medyczną i kartę Multisport.

🏢 Summary: Rola dotyczy projektowania i rozwoju skalowalnych rozwiązań backendowych w oparciu o Microsoft Azure, stanowiących fundament dla enterprise’owej platformy AI (MCP Graph Broker). Obejmuje budowę API, integracji i komponentów wspierających orkiestrację AI oraz wdrożenia produkcyjne dla systemów o dużej skali. Praca koncentruje się na architekturze chmurowej, mikroserwisach i integracji z narzędziami AI/ML w środowisku enterprise. 🗂️ Requirements: Minimum 5 lat doświadczenia w budowie skalowalnych aplikacji webowych lub systemów enterprise, Bardzo dobra znajomość .NET Framework, ASP.NET MVC, Web API 2, MS SQL, Entity Framework, Doświadczenie z REST oraz OData, Znajomość usług Microsoft Azure i praktyk cloud computing, Znajomość architektury mikroserwisowej i zarządzania API, Doświadczenie z .NET / C# oraz wzorcami Clean Architecture, DDD, CQRS, Event Sourcing, Doświadczenie w projektowaniu i implementacji REST API oraz GraphQL, Znajomość baz wektorowych i wyszukiwania semantycznego (RAG), Doświadczenie z ML/AI API w środowiskach produkcyjnych, Doświadczenie w projektowaniu systemów wysokodostępnych i odpornych na duże wolumeny danych, Znajomość Cloud Design Patterns, Doświadczenie w budowie aplikacji Enterprise SaaS, Wykształcenie wyższe techniczne 📃 Skills: .NET, C#, ASP.NET, WebAPI, MS SQL, EntityFramework, REST, OData, Azure, AppServices, Functions, CosmosDB, AzureSQL, ServiceBus, AzureSearch, GraphQL, Microservices, DDD, CQRS, EventSourcing, CleanArchitecture, SaaS, RAG, MCP, AI, ML, DevOps, Agile 🏢 Description: Tworzymy cyfrowe produkty dla nowoczesnego środowiska pracy oparte na chmurze, AI i technologiach, które realnie wspierają pracowników na całym świecie. Chcesz pracować nad rozwiązaniami, w których backend, API i integracje realnie napędzają systemy AI klasy enterprise? Dołącz do nas i zobacz, co budujemy. Jako część naszego zespołu będziesz : wykorzystywać swoją wiedzę z zakresu cloud computingu, integracji systemów i rozwoju oprogramowania, projektować i rozwijać rozwiązania backendowe oparte na Microsoft Azure, które będą technologicznym fundamentem dla MCP Graph Broker — jednego z pierwszych tego typu rozwiązań AI dla środowisk enterprise w Polsce, współtworzyć skalowalne API, integracje i komponenty aplikacyjne wspierające warstwę orkiestracji AI, zarządzanie kontekstem oraz komunikację między systemami, przygotowywać rozwiązania gotowe do wdrożeń produkcyjnych — od kontrolowanych środowisk testowych po systemy obsługujące ponad 500 000 użytkowników dziennie w sektorze finansowym, handlowym i publicznym. Aplikuj, jeśli masz : minimum 5 lat komercyjnego doświadczenia w budowie skalowalnych aplikacji webowych, usług backendowych lub systemów klasy enterprise, bardzo dobrą znajomość .NET Framework, ASP.NET MVC, Web API 2, MS SQL, Entity Framework, REST oraz OData, znajomość usług Azure i dobrych praktyk pracy z chmurą, np. Azure App Services, Azure Functions, Cosmos DB, Azure Search, Azure Service Bus czy Azure SQL, dobrą znajomość architektury mikroserwisowej, zarządzania API oraz usług chmurowych wykorzystywanych w systemach enterprise, znajomość metodyk Agile, praktyk DevOps oraz nowoczesnych narzędzi wykorzystywanych w procesie tworzenia oprogramowania, znajomość i umiejętność stosowania Cloud Design Patterns, doświadczenie w budowie aplikacji klasy Enterprise SaaS , wiedzę i doświadczenie w pracy z .NET / C# oraz wzorcami projektowymi, takimi jak Clean Architecture, DDD, CQRS czy Event Sourcing, doświadczenie w projektowaniu i implementacji REST API oraz GraphQL, szczególnie w kontekście API klasy enterprise, znajomość baz wektorowych oraz technik wyszukiwania semantycznego, np. Azure AI Search, w systemach RAG / Retrieval-Augmented Generation, znajomość protokołu MCP / Model Context Protocol lub podobnych protokołów kontekstowych oraz praktyczne doświadczenie z narzędziami ML / AI API w środowiskach produkcyjnych, doświadczenie we wdrażaniu rozwiązań typu AI API Layer , doświadczenie w projektowaniu rozwiązań odpornych na duże wolumeny danych i zapewniających wysoką dostępność, doświadczenie w budowie frameworków lub platform aplikacyjnych, umiejętność analitycznego myślenia, rozwiązywania problemów, prowadzenia inicjatyw technicznych oraz jasnej komunikacji, zainteresowanie nowymi technologiami i śledzenie najnowszych trendów w obszarze chmury, AI i systemów agentowych, znajomość języka polskiego na poziomie C1+ oraz języka angielskiego na poziomie B2+, możliwość pracy w modelu hybrydowym z Białegostoku lub okolic — minimum 3 dni w tygodniu z biura i maksymalnie 2 dni pracy zdalnej), wykształcenie wyższe techniczne, najlepiej informatyczne lub pokrewne. Mile widziane : znajomość wzorców orkiestracji agentów AI, takich jak routing, zarządzanie pamięcią, wykorzystanie narzędzi czy human-in-the-loop, doświadczenie z architekturą multi-tenant, obejmującą separację kontekstu, izolację danych i polityki dostępu w środowiskach SaaS, praktyczna znajomość modeli konwersacyjnych i dialogowych, w tym fine-tuningu, RLHF oraz prompt engineeringu dla LLM, szczególnie w kontekście asystentów AI. Oferujemy: wynagrodzenie 20 000–22 000 PLN brutto miesięcznie na umowie o pracę oraz 18-miesięczną umowę z możliwością przedłużenia, pracę przy rozwoju rozproszonego systemu chmurowego klasy enterprise, w którym AI jest częścią architektury, a nie tylko dodatkową funkcją, realny wpływ na architekturę platformy używanej przez setki tysięcy pracowników, możliwość pracy z nowoczesnymi rozwiązaniami Azure, najnowszymi modelami LLM oraz narzędziami MLOps, przestrzeń do wielokierunkowego rozwoju zawodowego, certyfikacji i wymiany wiedzy, elastyczny model pracy hybrydowej, pakiet benefitów obejmujący prywatną opiekę medyczną i kartę Multisport.

🏢 Summary: The offer is for a senior DevOps/Cloud Engineer to lead and support enterprise cloud migration initiatives in Azure, focusing on CI/CD automation, infrastructure as code, and secure, scalable cloud environments. The role involves managing Azure-based platforms, optimizing performance and security, and collaborating with cross-functional teams to modernize and support business-critical systems. It also includes working with hybrid cloud environments and leveraging AI-powered tools to enhance software delivery processes. 🗂️ Requirements: 5+ years in DevOps, Cloud Engineering, or Platform Engineering, Strong hands-on experience with Microsoft Azure in production environments, Experience building and maintaining Azure DevOps CI/CD pipelines (YAML), Hands-on experience with Azure App Services, WebJobs, and Azure Functions, Knowledge of Azure API Management, Application Gateway, and WAF, Experience with Terraform and Infrastructure as Code practices, Understanding of .NET application hosting environments (.NET 4.8–.NET 8+), Experience with hybrid or multi-cloud environments (Azure and AWS), Experience with secrets management and identity solutions, Experience in enterprise migration or modernization programs, English proficiency minimum B2, Work permit and residence in the European Union 📃 Skills: Azure, AzureDevOps, CI/CD, YAML, Terraform, .NET, APIM, WAF, AppServices, WebJobs, AzureFunctions, ApplicationGateway, KeyVault, ManagedIdentity, AWS, IaC 🏢 Description: 🟣 You will be: supporting and driving cloud migration initiatives across business-critical systems, designing, building, and maintaining CI/CD pipelines in Azure DevOps, managing and optimizing Azure-based infrastructure and application environments, automating infrastructure provisioning and configuration using Infrastructure as Code practices, collaborating with development and architecture teams to ensure reliable and scalable deployments, improving platform security, performance, and operational efficiency, supporting application services and cloud-native solutions throughout the software delivery lifecycle. 🟣 Your profile: 5+ years of experience in DevOps, Cloud Engineering, or Platform Engineering roles, strong hands-on experience with Microsoft Azure, including production-grade environments, proven experience building and maintaining Azure DevOps CI/CD pipelines (YAML-based), hands-on experience with Azure App Services, WebJobs, and Azure Functions, strong knowledge of Azure API Management (APIM), Application Gateway, and WAF, experience with Terraform (azurerm provider) and Infrastructure as Code practices, understanding of .NET-based application hosting environments (.NET 4.8–.NET 8+), experience working with hybrid or multi-cloud environments (Azure + AWS), familiarity with secrets management and identity solutions (Key Vault, Managed Identity), experience working in enterprise migration or modernisation programmes, strong analytical, troubleshooting, and problem-solving skills, good communication skills and ability to work in cross-functional teams, good command of English (min. B2), practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery. 🟣 Nice to have: experience with AWS migration programmes (e.g. MAP or similar initiatives), familiarity with React, Node.js, or EventStoreDB in hybrid architectures, exposure to FinOps practices and cloud cost optimisation initiatives, experience integrating AI tools into engineering workflows (CI/CD, IaC, automation), experience with enterprise-scale policy governance (Azure Policy, guardrails), 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 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: Long-term DevOps role focused on designing and maintaining CI/CD pipelines and Azure-based environments supporting enterprise applications. The position involves infrastructure automation, Azure platform administration, and integration with Microsoft Dynamics 365 and Power Platform solutions. You will work closely with technical and business teams to optimize cloud platforms and implement DevOps best practices. 🗂️ Requirements: 5+ years of experience in DevOps, CI/CD, scripting, or automation, Strong experience with Azure DevOps, Experience with Azure platform administration, Hands-on experience building and maintaining CI/CD pipelines, Experience with PowerShell scripting, Experience with Terraform or other IaC tools, Knowledge of Microsoft Dynamics 365 CRM, Knowledge of Power Platform ecosystem, Experience with Jenkins, JIRA, Confluence, Ability to troubleshoot and resolve Azure and Microsoft-related incidents 📃 Skills: Azure, AzureDevOps, PowerShell, Terraform, CI/CD, Dynamics365, PowerPlatform, Jenkins, JIRA, Confluence, IaC, Docker, Kubernetes, Ansible, AzureFunctions, LogicApps, REST, SOAP 🏢 Description: Join an international technology environment where you will play a key role in building and maintaining modern CI/CD and Azure-based solutions supporting enterprise applications and digital platforms. This role is ideal for someone who combines strong DevOps expertise with a proactive, engineering mindset and enjoys working closely with business and technology stakeholders. Project information: Type of project: IT services Office location: Kraków Work model: Hybrid, 2 days from the office Budget: 100-125 net PLN / hour Project length: Long-term Only candidates with citizenship in the European Union Start date: ASAP (depending on candidate’s availability) Your responsibilities Design, develop, and maintain CI/CD pipelines in Azure DevOps Support and optimize Azure platform environments, including troubleshooting and resource management Automate infrastructure and deployment processes using PowerShell and Infrastructure as Code tools Configure and maintain Azure resources and integrations Support environments related to: Microsoft Dynamics 365 CRM Power Platform Power Automate Power Apps Independently handle and resolve Microsoft support tickets and incidents Collaborate with technical and business teams to identify and implement optimal solutions Contribute to technical documentation, process improvements, and platform optimization Support the adoption of new technologies and DevOps best practices We pay attention to candidates who have 5+ years of experience in DevOps, CI/CD, scripting, or automation roles Strong experience with Azure DevOps, PowerShell, Terraform, Azure platform administration Hands-on experience building and maintaining CI/CD pipelines Knowledge of Microsoft Dynamics 365 CRM and Power Platform ecosystem Experience with DevOps and collaboration tools such as Azure DevOps, Jenkins, JIRA, and Confluence Strong analytical thinking and troubleshooting skills Ability to work independently in a fast-paced environment Very good communication and stakeholder management skills Nice to have Familiarity with: Docker Kubernetes containerization concepts Azure Functions Logic Apps REST / SOAP APIs Ansible or other IaC tools technical design documentation data flow diagrams Relevant Microsoft or Azure certifications Experience in the financial services industry We offer Opportunity to work on modern Azure and DevOps environments International and collaborative work environment Exposure to enterprise-scale platforms and cloud technologies Hybrid work model in Kraków (6–9 days per month onsite) Real impact on automation, delivery quality, and platform evolution Multisport Card, private medical card, life insurance Recruitment process Introductory call Technical interview Final decision

🏢 Summary: B2B Microsoft Dynamics 365 CRM & Azure DevOps Engineer role in a banking DQM program, focused on designing, building, and supporting enterprise-scale Dynamics 365 and Power Platform solutions. The position centers on Azure DevOps, CI/CD automation, and cloud integrations to enhance service delivery. Full-time, long-term contract in a hybrid work model. 🗂️ Requirements: 5+ years of experience in CI/CD and scripting/automation, Strong PowerShell scripting skills, Hands-on experience with Azure DevOps pipelines and repositories, Experience with Azure platform setup and resource management using Terraform, Knowledge of Microsoft Dynamics 365 CRM, Experience with Power Platform (Power Automate, Power Apps, Admin Center), Experience with Azure integrations (API, Entra ID authentication), Ability to build and maintain data pipelines, Experience with DevOps tools, Experience working in Agile teams, Ability to create technical documentation, Fluent English 📃 Skills: Azure, AzureDevOps, PowerShell, Terraform, Dynamics365, PowerPlatform, PowerAutomate, PowerApps, AzureFunctions, LogicApps, ServiceBus, EntraID, CI/CD, Docker, Kubernetes, Jenkins, JIRA, Confluence, REST, SOAP 🏢 Description: 🌍 Work mode : hybrid; ·       People from Kraków - 6x per months in the office ·       People from Warsaw - 3x per months in the office ·       People outside of Kraków and Warsaw - 3x per quarter in the office ⏰ Start : ASAP/30 days weeks. 📑 Contract : B2B. ⏳ Duration : >12 months contracts. 📕 Project language : English. ⚙️ Industry : Banking. 💻 Workload : Full time. Summary: The Microsoft Azure DevOps plays a crucial role in shaping the strategy and solutions components of the Digital Query Management (DQM) program in the banking sector (Wholesale) . This program aims to enhance service delivery by leveraging Microsoft Dynamics 365, allowing sales teams to focus more on client interactions. DQM is based on the SaaS Microsoft Dynamics 365 platform. We are seeking a skilled Microsoft Dynamics 365 CRM & Azure DevOps Engineer to design, build, deploy, and support enterprise-scale Dynamics 365 and Power Platform solutions within a banking/financial services environment. You will apply your knowledge and experience to each customer through proactive and preventative work efforts including requirement clarification, solution design, and technical implementation support. Main Responsibilities: Strong knowledge of Azure DevOps pipelines and repos, Azure Logic Apps, Functions, Service Bus. Experience in Azure API integrations and Entra ID authentication. Build scalable and high-performance data pipelines for data ingestion, transformation, and loading across cloud and on-premises sources. Implement robust error handling, logging, and monitoring mechanisms for data pipelines. Create technical design documentation, runbooks, and deployment guides while communicating with stakeholders. Support production deployments, including performance monitoring and issue resolution. Work in Agile development teams, participating in sprint planning, backlog grooming, daily stand-ups, and retrospectives. Continuously explore and suggest improvements to current DevOps pipelines. Key Requirements: 5+ years of IT experience in CI/CD and Scripting/Automation with PowerShell. Experience in Azure Platform setup with Terraform and handling Azure resources. Active participation in CI/CD setups on Azure DevOps. Working knowledge of MS Dynamics 365 CRM, Power Platform Admin centre/Power Automate/Power Apps Flows/Connections Independently handle MS tickets. Exposure to Docker and Kubernetes (bonus). Excellent problem-solving and analytical skills. Hands-on experience with DevOps tools (e.g., Azure DevOps, Jenkins, JIRA, Confluence). Nice to Have: Knowledge of Azure Functions, Logic Apps, REST/SOAP APIs. Experience with Terraform, Ansible, or similar IaC tools. Experience in creating technical design documentation including data flow diagrams. Relevant certifications such as: Azure DevOps Engineer Expert; Power Platform Developer Associate; Dynamics 365 Developer Associate; Azure Developer Associate, etc.) Prior experience in the financial services industry.

🏢 Summary: Role focused on developing and standardizing DevOps environments in hybrid (on-prem + multi-cloud) infrastructure with strong emphasis on AI implementations. The position involves designing CI/CD pipelines, Infrastructure as Code, container orchestration, and security practices while supporting cloud-native and AI-based solutions. It offers high autonomy in shaping cloud, security, automation, and platform engineering standards. 🗂️ Requirements: Minimum 5 years experience in DevOps or similar role, Higher technical education, Experience with hybrid environments (on-prem + cloud), Experience implementing AI/ML/LLM solutions in production, Strong knowledge of CI/CD and pipeline design, Experience with public cloud platforms (AWS, GCP, Azure or OCI), Experience with Docker and Kubernetes or OpenShift, Experience with Infrastructure as Code tools, Strong Linux administration skills, Knowledge of infrastructure and application security practices, Experience with monitoring and logging tools, English level B2/C1 📃 Skills: AWS, GCP, Azure, OCI, Docker, Kubernetes, OpenShift, Terraform, Ansible, Linux, Windows, Prometheus, Grafana, ELK, Jenkins, Bamboo, Bitbucket, GitLab, SonarQube, ArgoCD, Vault, AI, ML, LLM, SSDLC, IAM, GitOps 🏢 Description: Jeśli chcesz mieć realny wpływ na rozwój środowiska technologicznego i standardów DevOps w Departamencie Usług Asseco Poland oraz mieć możliwość kształtowania podejścia do chmury, bezpieczeństwa, automatyzacji i AI - zapraszamy Cię do rekrutacji. Oferujemy pracę przy projektach obejmujących wdrażanie rozwiązań AI w różnych obszarach biznesowych w środowisku hybrydowym (on-prem + multi-cloud). Dużą samodzielność działania oraz przestrzeń do wdrażania własnych pomysłów i usprawnień , a także współpracę z doświadczonymi zespołami technologicznymi i biznesowymi oraz możliwość dalszego rozwoju w obszarach cloud, security, platform engineering i AI . Praca hybrydowa z Poznania lub Warszawy lub Krakowa lub Rzeszowa Forma zatrudnienia: umowa o pracę Proces rekrutacyjny: 1 rozmowa telefoniczna + 2 spotkania online Twoje zadania na tym stanowisku: utrzymanie, rozwój i standaryzacja środowisk deweloperskich, testowych i produkcyjnych wymiarowanie, wdrażanie i administracja środowisk opartych o maszyny wirtualne projektowanie, rozwój i optymalizacja linii wytwórczej oprogramowania, w tym procesów CI/CD (Bitbucket, Bamboo, Jenkins, GitLab, GitLab CI, SonarQube) wsparcie zespołów projektowych w projektowaniu i wdrażaniu rozwiązań w architekturze chmurowej oraz środowiskach hybrydowych współtworzenie standardów, dobrych praktyk i mechanizmów automatyzacji w obszarze DevOps wdrażanie oraz rozwój rozwiązań zwiększających bezpieczeństwo środowisk, procesów i aplikacji (SSDLC, skanowanie podatności, hardening, IAM) projektowanie, wdrażanie i utrzymanie środowisk dla rozwiązań opartych o AI rozwój podejścia Infrastructure as Code (Terraform, Ansible) oraz automatyzacja procesów administracyjnych, wdrożeniowych i operacyjnych administracja systemami Linux i Windows oraz środowiskami kontenerowymi (Docker) rozwój i utrzymanie orkiestracji (Kubernetes, OpenShift, Docker Swarm) wykorzystanie narzędzi wspierających GitOps i zarządzanie konfiguracją (ArgoCD) oraz zarządzanie sekretami (Vault) monitorowanie, optymalizacja oraz podnoszenie niezawodności i wydajności środowisk (Prometheus, Grafana, ELK) współpraca z architektami, zespołami developerskimi, bezpieczeństwa oraz utrzymania inicjowanie usprawnień technologicznych i organizacyjnych w obszarze platformowym i operacyjnym Co będzie Ci potrzebne, aby móc wykonywać zadania? minimum 5 lat doświadczenia na podobnym stanowisku wykształcenie wyższe o profilu technicznym praktyczne doświadczenie w utrzymaniu i rozwoju środowisk aplikacyjnych oraz infrastrukturalnych, w tym środowisk hybrydowych (on-prem + cloud) doświadczenie we wdrażaniu rozwiązań opartych o AI (ML/LLM) w środowiskach produkcyjnych lub zbliżonych znajomość procesów CI/CD i umiejętność projektowania oraz rozwijania pipelinów wdrożeniowych doświadczenie w pracy z rozwiązaniami chmurowymi (AWS, GCP, Azure lub OCI) i zrozumienie zasady projektowania nowoczesnej architektury cloud znajomość zagadnień związanych z bezpieczeństwem infrastruktury, aplikacji oraz procesów wytwórczych samodzielność w identyfikacji obszarów do automatyzacji i wdrażania odpowiednich usprawnień doświadczenie w pracy z narzędziami do konteneryzacji, orkiestracji oraz Infrastructure as Code (Docker, Kubernetes/OpenShift, Terraform, Ansible) doświadczenie w pracy z systemami Linux (wiodąco) oraz Windows zrozumienie znaczenia monitoringu, logowania, observability i wysokiej dostępności środowisk (Prometheus, Grafana, ELK) umiejętność działania przekrojowo, współpracując z wieloma zespołami i interesariuszami samodzielność, odpowiedzialność i nastawienie na szukanie trwałych, skalowalnych rozwiązań znajomość języka angielskiego na poziomie B2/C1 Mile widziane: doświadczenie we wsparciu środowisk dla rozwiązań AI/ML (MLOps / LLMOps) znajomość dobrych praktyk DevSecOps doświadczenie w pracy z narzędziami typu ArgoCD, Vault doświadczenie w standaryzacji środowisk i procesów w organizacji rozwijającej wiele produktów lub projektów równolegle doświadczenie w optymalizacji kosztów środowisk chmurowych znajomość zagadnień sieciowych (VPC, VPN, load balancery) umiejętność pełnienia roli doradczej i mentorskiej wobec innych członków zespołu certyfikaty: AWS Certified DevOps Engineer – Professional, Microsoft Certified: DevOps Engineer Expert, Google Professional Cloud DevOps Engineer, Certified Kubernetes Administrator (CKA), HashiCorp Certified: Terraform Associate (004) Benefity: Prywatna opieka medyczna Szkolenia Dofinansowanie do karty sportowej Platforma wellbeingowa Ubezpieczenie grupowe Pracowniczy Plan Emerytalny Pożyczki pracownicze Drużyna sportowa Program rekomendacji pracowników Spotkania intergacyjne

🏢 Summary: Hybrid Cloud DevOps Engineer role focused on building, operating and maintaining Azure Local and global Azure-based hybrid cloud infrastructure. The position involves managing datacenter environments, supporting cloudification of products, and implementing DevOps and IaC practices within an agile team. Requires collaboration with product teams and participation in on-call support. 🗂️ Requirements: Experience with Windows Server technologies, Experience with Azure Local or VMware, Knowledge of physical server infrastructure management, Experience with Kubernetes deployments, Proficiency in PowerShell, Experience with Linux, Experience with Infrastructure as Code (IaC) tools for cloud and on-premise environments, Ability to work onsite in Warsaw 1 day per week, Fluency in Polish and English, Willingness to participate in 24/7 on-call rotations 📃 Skills: Azure, AzureLocal, VMware, WindowsServer, Linux, Kubernetes, PowerShell, Terraform, ARM, Ansible, HyperV, AzureDevOps, CI/CD, IPNetworking, MS SQL, WindowsContainers, Prometheus, Grafana, Telegraf, ELK, ArgoCD, Flux, GitOps 🏢 Description: 🏢 Location: Warsaw, Inflancka 4A (Hybrid: 1 day per week in the office ) DevOps Engineer (Hybrid Cloud) Our Cloud Infrastructure and Operations team provides best cloud technologies, design, and architecture to support the move of KMD products to the cloud. As a Hybrid Cloud DevOps Engineer you will be part of a team whose primary focus will be to build, operate and maintain Azure Local solution (Azure hyperconverged infrastructure cluster) and underlaying datacenter infrastructure. We see DevOps as a strong collaboration between Development and Operations with both being part of the same agile product team. Sharing backlog and having common goals are key elements to Dev and Ops working together to create awesome products. In our team we are responsible for getting the most out of Azure and the DevOps principles. ✨After your morning coffee you will be: Building, operating and maintaining complex hybrid cloud infrastructure for KMD products based on Azure Local and global Azure cloud. Working on cutting edge technologies. Acting as SME in the DevOps area and as a sparring partner for product teams. Supporting cloudification across KMD products. Suggesting new and improving existing services and accompanying processes and procedures. We are a GOOD match if you are willing to work from the office 1x a week and… Professionally: 👉 MUST HAVE: Have experience in Windaows Server technologies Have some experience with Azure Local OR Vmware Have knowledge in managing physical server infrastructure Are familiar with Kubernetes cloud deployments Are experienced in PowerShell Are experienced in Linux Have used Infrastructure as a Code (IaC) automation including cloud deployments and on-premise (i.e. Terraform, Azure Resource Manager Templates, Ansible and similar) 👉 NICE TO HAVE: Have worked with Hyper-V virtualization Have DevOps and CI/CD Pipeline knowledge of principles and experience in implementation (preferably Azure DevOps) Have a knowledge of IP networking concepts and troubleshooting Have good understanding of Azure cloud core services Are experienced in the DevOps/Agile/Scrum approach Have worked with Windows Server Failover Cluster Have knowledge in MS SQL database administration Are familiar with Windows Containers Have used monitoring and visualization tools (i.e. Prometheus, Grafana, Telegraf) Have used log aggregation and search engines (i.e. ELK Stack) Know GitOps tools (i.e. ArgoCD, Flux) Have knowledge of security concepts Are ready to work on 24/7 on-call shifts ✨Personally: Are a self-driven person experienced in working in virtual teams. Are a team player and consider knowledge sharing as a natural part of being professional. Are fluent in Polish and English, both in speaking and writing. Are skilled in problems solving. Are ready to support planned activities outside business hours.

🏢 Summary: Hybrid Cloud DevOps Engineer role focused on building, operating and maintaining Azure Local and global Azure-based infrastructure for cloudified products. The position centers on managing hybrid cloud environments and underlying datacenter infrastructure using DevOps and Infrastructure as Code practices. You will collaborate within an agile team to deliver scalable, automated cloud solutions. 🗂️ Requirements: Experience with Windows Server technologies, Experience with Azure Local or VMware, Knowledge of managing physical server infrastructure, Experience with Kubernetes cloud deployments, Proficiency in PowerShell, Experience with Linux, Hands-on experience with Infrastructure as Code tools for cloud and on-premise environments (e.g., Terraform, ARM, Ansible) 📃 Skills: Azure, AzureLocal, VMware, WindowsServer, Kubernetes, PowerShell, Linux, Terraform, ARM, Ansible, HyperV, AzureDevOps, Prometheus, Grafana, Telegraf, ELK, ArgoCD, Flux, MSSQL, WindowsContainers, FailoverCluster, Networking, GitOps 🏢 Description: 🏢 Location: Warsaw, Inflancka 4A (Hybrid: 1 day per week in the office ) DevOps Engineer (Hybrid Cloud) Our Cloud Infrastructure and Operations team provides best cloud technologies, design, and architecture to support the move of KMD products to the cloud. As a Hybrid Cloud DevOps Engineer you will be part of a team whose primary focus will be to build, operate and maintain Azure Local solution (Azure hyperconverged infrastructure cluster) and underlaying datacenter infrastructure. We see DevOps as a strong collaboration between Development and Operations with both being part of the same agile product team. Sharing backlog and having common goals are key elements to Dev and Ops working together to create awesome products. In our team we are responsible for getting the most out of Azure and the DevOps principles. ✨After your morning coffee you will be: Building, operating and maintaining complex hybrid cloud infrastructure for KMD products based on Azure Local and global Azure cloud. Working on cutting edge technologies. Acting as SME in the DevOps area and as a sparring partner for product teams. Supporting cloudification across KMD products. Suggesting new and improving existing services and accompanying processes and procedures. We are a GOOD match if you are willing to work from the office 1x a week and… Professionally: 👉 MUST HAVE: Have experience in Windaows Server technologies Have some experience with Azure Local OR Vmware Have knowledge in managing physical server infrastructure Are familiar with Kubernetes cloud deployments Are experienced in PowerShell Are experienced in Linux Have used Infrastructure as a Code (IaC) automation including cloud deployments and on-premise (i.e. Terraform, Azure Resource Manager Templates, Ansible and similar) 👉 NICE TO HAVE: Have worked with Hyper-V virtualization Have DevOps and CI/CD Pipeline knowledge of principles and experience in implementation (preferably Azure DevOps) Have a knowledge of IP networking concepts and troubleshooting Have good understanding of Azure cloud core services Are experienced in the DevOps/Agile/Scrum approach Have worked with Windows Server Failover Cluster Have knowledge in MS SQL database administration Are familiar with Windows Containers Have used monitoring and visualization tools (i.e. Prometheus, Grafana, Telegraf) Have used log aggregation and search engines (i.e. ELK Stack) Know GitOps tools (i.e. ArgoCD, Flux) Have knowledge of security concepts Are ready to work on 24/7 on-call shifts ✨Personally: Are a self-driven person experienced in working in virtual teams. Are a team player and consider knowledge sharing as a natural part of being professional. Are fluent in Polish and English, both in speaking and writing. Are skilled in problems solving. Are ready to support planned activities outside business hours.

🏢 Summary: Full-time Senior MLOps Engineer role focused on designing and managing Azure-based AI/ML infrastructure for global SaaS environments. The position involves building scalable cloud platforms, optimizing CI/CD pipelines, automating ML lifecycle processes, and leading enterprise AI solutions using Azure services. The role combines hands-on DevOps, cloud engineering, and AI platform development in a rapidly evolving environment. 🗂️ Requirements: Solid experience designing and managing infrastructure for AI/ML or HPC workloads, Proven experience managing and optimizing CI/CD for Azure-based SaaS applications, Hands-on experience with Azure DevOps and standard DevOps tools, Strong scripting skills in PowerShell or Bash, Experience with Terraform or similar configuration management tools, Working knowledge of version control systems, Experience in agile software development environments, Knowledge of SQL and NoSQL databases, Experience with web server configuration (IIS or Tomcat), Understanding of networking technologies (switches, routers, firewalls, VPNs), Strong understanding of security principles, Bachelor’s Degree in Computer Science or related field 📃 Skills: Azure, AzureDevOps, PowerShell, Bash, Terraform, Git, SQL, NoSQL, IIS, Tomcat, Docker, TensorFlow, PyTorch, Scikit-learn, ARM, Ansible, AzureCLI, AzureOpenAI, AzureAIFoundry, AzureDatabricks, AzureDataFactory, AzureServiceBus, AzureRedisCache, AzureMonitoring, NewRelic, Rapid7, CI/CD, YAML 🏢 Description: Svitla Systems Inc. is looking for a Senior MLOps Engineer with ML/AI for Azure for a full-time position (40 hours per week) in Poland. Our client is a leading global provider that gathers information and reports to enhance the environmental and social impacts on the business. You’ll be part of a global team supporting multiple SaaS environments that help make the world a safer place. The team uses Azure as the core, but hosts on various platforms due to specific needs and the rapid pace of development and acquisition. The environment is rapidly shifting from IaaS to PaaS to serverless, with new AI/ML components integrated. So you’ll need to apply your current skill sets and learn new things daily to push the business forward. While you’ll ultimately need a diversity of expert-level skills to succeed, having a deep understanding and experience in just a couple of areas (monitoring, scripting, automation tools, etc.) may get you in the door to a great career. Requirements: Solid experience designing, implementing, and managing infrastructure for AI/ML or HPC workloads. Proven success in managing and optimizing CI/CD for an Azure-based SaaS application. Hands-on experience with standard DevOps tools, including Azure DevOps. Expertise in scripting with at least PowerShell or Bash. Understanding of configuration management tools like Terraform. Proven experience designing, implementing, and managing infrastructure for AI/ML or HPC workloads. Working knowledge of version control/source code management tools. Experience working in an agile software development life cycle. Knowledge of databases, including SQL and NoSQL Strong knowledge of web server configuration and management, such as IIS or Tomcat. Familiarity with local and wide area networking and associated technologies, e.g., switches, routers, firewalls, VPNs. Strong understanding of security principles. Bachelor’s Degree in Computer Science or a similar area of study. Experience working in a technical, fast-paced environment with high demand and high standards. Ability to assimilate information quickly under pressure. Excellent communication and collaboration skills. Ability to communicate effectively with multiple disciplines. Excellent analytical skills with the ability to drive reliability improvements. Strong planning skills to ensure business expectations are met, and projects are delivered on time. Nice to have: Understanding of machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn, and their deployment in production environments. Familiarity with cloud-based networking (VNETs, NSGs, Route Tables, Hub/Spoke-based architecture, Private Endpoints, etc.). Strong understanding of CI/CD (YAML and Classic Pipelines). Experience with PaaS (Web Apps, Function Apps, Storage Accounts, Key Vaults, Azure Redis Cache, Azure Service Bus, API Management, Azure Data Factory, Azure Databricks). Experience in monitoring (New Relic, LogEntries, Rapid7, Azure Monitoring, etc). Some experience with containers/Docker, either for a microservice-based architecture or Service Oriented, etc. Familiarity with Git, ARM, Terraform, Ansible, Azure CLI, or similar. Responsibilities: Support application infrastructure to ensure the platform is optimized for performance and reliability. Build and maintain supporting infrastructure for cloud environments and applications. Lead the design and engineering of software systems for the AI/ML Platform, contributing to the full ML development life cycle. Identify and implement opportunities to automate and streamline ML development processes, fostering efficiency and effectiveness. Building and Managing enterprise AI solutions using Azure AI Foundry & Azure's integrated platform (Azure OpenAI, AI Search, Prompt Flow), Use a wide range of Azure resources to implement scalable, reliable, and cost-efficient services. Work side by side with your engineers, guiding critical projects, using your subject matter expertise to solve complex problems. Perform and automate system administration services, including installation, configuration, maintenance, and disaster recovery Identify system-level issues related to OS configuration and virtual hardware bottlenecks. Provide automation, auditing, and other tooling for security, compliance, and resource usage. Monitor and improve processes for all deployments. Take ownership of operational excellence to establish and maintain business focused KPI's. Use these metrics not only as a basis for positive transformation, but also as a visible representation of your team's success. Maintain and take ownership of your tasks each sprint, ensuring time worked is logged, and details are added. We offer: US and EU projects based on advanced technologies. Competitive compensation based on skills and experience. Regular performance appraisals to support your growth. Flexibility in the workspace, either remote or in our welcoming office. Comprehensive medical insurance after one month. MultiSport card with access to 2500 sports facilities all over Poland Bonuses for recommendations of new employees. Bonuses for article writing, public talks, and other activities. 15 vacation days, 10 national holidays, 10 sick leaves, and family days off. Personalized learning program tailored to your interests and skill development. Free tech webinars and meetups organized by Svitla. Welcome and anniversary presents, gifts for children, and more. Regular corporate events and meetups. Awesome team, friendly and supportive community! Ref #5102