Confluence (nice to have) JIRA (nice to have) Jenkins (nice to have) Kafka (nice to have) MongoDB (regular) Git (regular) C# (regular) Scala (regular) REST (regular) Java (regular) Our Client and your future employer is one of the world’s leading freight forwarding, transport, and logistics companies. It employs more than 1000 fantastic people and this number is constantly increasing.The office in Warsaw is in a phase of dynamic development. Is accountable for the strategy, system architecture, development, and support for global infrastructure and business applications.In this company, you have a real influence and a chance to produce visible results.Expected: Java, Rest, Scala, C#, Git, MongoDBNice to have: C#, Kafka, Git, Jenkins, Jira, Confluence, Kubernetes, Machine Learning (ML)About The ProjectDo you want to build scalable applications with modern cloud technologies? Join the Data & Analytics team, which builds advanced end-to-end products that create direct business value for Company’s divisions, including vendor invoices automation, booking transparency or customs declaration automation.What is unique about the projects you will be working on?high degree of complexity,requiring non-deterministic problem solving (i.e., the use of ML/AI),near real-time data processing,a need for high availability, vertical and horizontal scalability,an extremely high volume of transactions.Your new unit is characterized by having a startup mindset, and it is divided into cross-functional product teams with a mix of young and highly experienced colleagues.TasksBuilding microservices for processing data, reading/writing to the database, exposing data to other applications, and more.Using architectural patterns that are relevant for a specific context such as event-based data streaming, request-response web services, file transport jobs, and more.Making sure that relevant logs are created, are understandable, are shared with our central logging platform, and that the necessary alerts are setup.Testing your software from a functional, quality, fault-tolerance, performance, and scalability perspective.Technologies & ToolsBackend applications: Mostly coded in Java, Scala (and some C#)Event streaming: Confluent Kafka (KStreams etc.)Database technologies: Mostly MongoDB Atlas (and some PostgreSQL, MySql)Version control: GitCI/CD Pipelines: Jenkins, Argo, AzureDevOpsRequirements: JiraDocumentation: ConfluenceAuthentication: OIDC, OAuth2, SAMLContainerization: DockerContainer orchestration: KubernetesLogging, monitoring & Alerting: ELK stackNice To HaveML Frameworks: TensorFlow / PyTorchML model serving: TensorFlow serving, Torch servingML model development: Mostly coded in PythonML Ops Platform: Kubeflow, MLFlow, SeldonCore, KNative, KServeLoad balancing: NGINX, Cloud LBsPerks&benfitsEmployment contractPrivate medical careComprehensive onboarding programBuddyWork-life HarmonyModern eco-officeComfortable ergonomic officeScandinavian work cultureInternal training catalogueCulture of feedbackInternal transition programHoliday giftsSport groupsBike parking
Java Developer in Constanţa
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