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Java Backend Engineer

Job in Bournemouth, Dorset County, BH1, England, UK
Listing for: Q1 Technologies, Inc.
Full Time position
Listed on 2026-09-27
Job specializations:
  • Software Development
    Java Developer, Backend Developer, AWS, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 60000 - 90000 GBP Yearly GBP 60000.00 90000.00 YEAR
Job Description & How to Apply Below

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 Git Hub 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 (Git Hub Copilot, Claude) to accelerate delivery and improve quality.
Key Technologies
  • Java
  • Apache Flink
  • AWS (EKS, S3)
  • Kubernetes
  • Kafka / MQ
  • REST APIs
  • Microservices
  • Git Hub Copilot / Claude
  • Agile Development Methodologies
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