Given these daily tasks, we're looking at a role that combines elements of backend development, data engineering, and some aspects of DevOps. Here's a more accurate assessment:Backend Developer with DevOps Skills: The core of the job involves creating APIs and working with databases, which are classic backend development tasks. However, the deployment and network aspects require DevOps knowledge.Data Engineer: The focus on processing data, working with datastores, and managing data synchronizati
Given these daily tasks, we're looking at a role that combines elements of backend development, data engineering, and some aspects of DevOps. Here's a more accurate assessment:Backend Developer with DevOps Skills: The core of the job involves creating APIs and working with databases, which are classic backend development tasks. However, the deployment and network aspects require DevOps knowledge.Data Engineer: The focus on processing data, working with datastores, and managing data synchronization between networks points to data engineering skills.Full-Stack Developer with Infrastructure Knowledge: The combination of API development, data processing, and deployment suggests a full-stack role, but with a heavy emphasis on backend and infrastructure.This professional would need to be comfortable with:Backend development (creating REST APIs)Database management and data processingDeployment in various environments, including on-premisesNetwork configuration for data synchronizationDevOps practices for maintaining and operating these systemsRequirements:Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience)5+ years of experience as a Platform Engineer or similar role5+ years of experience with a general purpose programming language (Golang, Java, Python etc.) building applications and toolsExperience with application debugging, performance optimization, code instrumentation and profilingProficiency in Kubernetes and experience deploying and maintaining production applications in Kubernetes clusters. Excellent understanding of K8s concepts, resource types, tooling, ingress controllers, autoscalers, etcProven experience with cloud platforms, containerization technologies, GitOps tools like ArgoCD, CI/CD pipelines, and infrastructure automation tools like TerraformExperience with modern observability tools, especially Open Telemetry distributed tracesExcellent problem-solving and analytical skillsAbility to work independently and as part of a teamExcellent communication and collaboration skillsOn-call experience a plus
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Інженерія і Інформаційні технології
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