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Java Backend Software Engineer

Neevglobal — United Kingdom · Posted ~4 hours ago

Skills

Java Object-Oriented Programming File Processing Amazon S3 Large-Scale File Processing Kubernetes Cloud-Native Development Multi-Region Architecture Messaging and Streaming Apache Flink AWS Amazon EKS Kafka MQ GitHub Copilot

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Summary ✨ AI‑Generated

A technology organization is seeking a backend engineer with strong Java expertise to build reusable components and highly scalable file-processing systems. The role involves Kubernetes, cloud infrastructure, messaging and streaming, resilient multi-region architecture, and modern AI-assisted engineering tools.

Highlights

Work on backend engineering involving large-scale file processing, cloud-native systems, streaming technologies, and resilient multi-region architectures. The role also encourages modern AI-assisted development practices.

Description

Java Backend Engineer - Requirements & Job Description We are looking for strong Java candidates with knowledge of Apache Flink and experience with AWS services (EKS, S3, etc.). Our application focuses heavily on file processing. Required Skills Core Engineering Strong proficiency in Java and object-oriented programming.Ability to write custom frameworks and reusable components.Data & File Processing Hands-on experience with file handling and processing on VSIs and Amazon S3.Proven experience with large-file processing at scale.Working knowledge of Apache Flink (recommended).Hands-on experience with messaging and streaming technologies such as MQ and/or Kafka.Cloud & Architecture Hands-on experience with Kubernetes and cloud-native application development.Working knowledge of AWS (recommended).Experience designing highly resilient, share-nothing, multi-region architectures.Ways of Working & Tooling Proficiency with AI-assisted development tools such as GitHub Copilot and/or Claude.Experience working in Agile, self-managing teams.Job Description Design, develop, and maintain high-performance Java backend services.Engineer large-scale file handling and processing across VSIs and Amazon S3, and build streaming/batch pipelines with Apache Flink on AWS.Deploy on Kubernetes using cloud-native patterns, with share-nothing, multi-region architecture for fault tolerance, high availability, and disaster recovery.Develop robust REST APIs, enforcing best practices for security, scalability, versioning, documentation, and error handling.Integrate and manage service registries for dynamic service discovery in microservices environments.Use AI-assisted tools (GitHub Copilot, Claude) to accelerate delivery and improve quality.Key Technologies JavaApache FlinkAWS (EKS, S3)KubernetesKafka / MQREST APIsMicroservicesGitHub Copilot / ClaudeAgile Development Methodologies