Senior Java Backend Developer

Insight

Bournemouth, UK

2 months ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

2 years minimum

Compensation

£47,517.0 - £103,432.0

Working hours

Regular working hours

Job source

indeed.com

Tech stack

Java (Programming Language) Amazon Web Services Amazon S3 Big Data Computer Programming Data Distribution Service Relational Databases DevOps Monitoring of Systems Spring Framework Python (Programming Language) Prometheus

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DataOps SQL Databases Datadog Data Processing Scripting Apache Spark Spring-boot Containerization Kubernetes Apache Flink Apache Kafka Restful APIs Stream Processing Stream Analytics Data Pipelines Docker Databricks Microservices

Job description

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.

Requirements

Do you have experience in SQL?, We are looking for 8+ years experienced highly skilled Software Engineer with strong experience in Java, Spring, and Microservices development, along with exposure to big data processing and cloud-native technologies. The ideal candidate will design, build, and maintain scalable systems that process large volumes of data in real time., 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.

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