DevOps Engineer with Italian New Bulgaria; Italy; Romania

ppXebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions. /p /brpWe specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture. /p /brpIn the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing. /p /brh3bAbout Project: /b /h3 /brpbThe project aims to modernize and simplify client's (SEPA Direct Debit Alignment) workflow by removing unnecessary legacy intermediaries and redesigning the integration between Salesforce, banking systems, and customer data services. The solution centralizes customer data in an Azure-based Client Data Domain and uses microservices running on AKS to manage integrations with banking and payment partners. We are looking for someone who feels comfortable with practical DevOps work on an already operating platform: someone who can take over existing configuration, organize deployments, adjust service settings, and support the team in delivering the integration quickly. This role is suitable for a person who knows Kubernetes and Azure from the perspective of day-to-day application deployment and maintenance, and does not necessarily need to be the architect of the entire infrastructure.br/ /b /p /brh3bYou will be: /b /h3 /brul /brlimanaging the configuration of applications running on an existing Kubernetes cluster, /li /brliworking with Docker and Helm charts, /li /brliconfiguring and deploying microservices in a Kubernetes environment, /li /brliset service parameters, replica counts, communication methods, and dependencies between components, /li /brlioperating and maintaining deployment pipelines in Azure DevOps, /li /brlicollaborating with development and architecture teams on the integration of banking systems, Salesforce, and legacy systems, /li /brlimaintaining configuration as code using Terraform or a similar approach, /li /brlisupporting ongoing deployments and environment stabilization until the end of the project. /li /br /ul /brh3bYour profile: /b /h3 /brul /brlihands-on experience with Kubernetes at the application management and configuration level, not necessarily building clusters from scratch, /li /brliexperience with Helm and Docker, /li /brliknowledge of Azure DevOps and CI/CD pipelines, /li /brliexperience with Azure services, particularly Azure Service Bus, Azure Storage, and Azure Container Registry, /li /brliability to work with infrastructure/application configuration as code, e.g. Terraform, /li /brliunderstanding of deploying and maintaining microservices in a cloud environment, /li /brliindependence in analyzing configurations, diagnosing issues, and proposing practical solutions, /li /brliPerson can be from Italy or EU given at least B2+ Italian Language. /li /brliItalian is a must have /li /br /ul /brppractical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery. /p /brpbWork from the European Union region and a work permit are required. /b /p /brh3bNice to have: /b /h3 /brpExperience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work. /p /brul /brliInterest 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. /li /br /ul /p #J-18808-Ljbffr