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Java backend Developer at Insight International (UK) Ltd – Bournemouth | Jobyssey

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Java backend Developer

Java backend Developer

Insight International (UK) Ltd · Bournemouth, United Kingdom · 2 months ago

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Employment: Contract
Category: Backend

analytics api automation aws ci-cd cloud containerization data-engineering data-modeling data-pipelines databricks datadog

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Backend jobs Remote Backend jobs Jobs in United Kingdom Backend jobs in United Kingdom

Builds and maintains scalable Java microservices with Spring Boot, real-time data pipelines using Kafka/Flink, and deploys them on AWS and Kubernetes.

Java Software Engineer

Responsibilities

Design, develop, and maintain scalable microservices using Java and Spring Boot.
Build and optimize real-time data pipelines leveraging Apache Kafka, Flink, and Spark/Databricks.
Develop robust data distribution and streaming solutions for high-throughput systems.
Deploy, manage, and monitor services in containerized environments (Docker/Kubernetes).
Write efficient and optimized SQL queries for relational databases.
Integrate and manage applications in AWS cloud environments.
Collaborate with cross‑functional teams to ensure smooth delivery and integration of features.
Implement monitoring and observability solutions (e.g., Datadog) for system health and performance tracking.
Maintain high standards of code quality, reliability, and security.

Primary Skills

Strong programming skills in Java and Spring Boot.
Hands‑on experience with Microservices architecture and RESTful APIs.
Proficiency with Kafka and distributed streaming systems.
Solid understanding of SQL and data modeling.
Experience with containerization (Docker) and orchestration (Kubernetes).
Working knowledge of Flink, Spark, or Databricks for data processing.
Familiarity with AWS services (ECS, EKS, S3, Lambda, etc.).
Basic scripting in Python for automation or data manipulation.

Secondary Skills

Experience with Datadog, Prometheus, or other monitoring tools.
Exposure to CI/CD pipelines and DevOps practices.
Knowledge of data engineering best practices and real‑time analytics.

Seniority level: Mid‑Senior level

Employment type: Contract