Java Engineer

Our client is seeking a Senior Java Engineer with strong expertise in modern Java, cloud-native development, and high-throughput system optimisation. You will join a backend engineering team working on large-scale, performance-critical applications deployed in public cloud environments. The focus of the role is to build, tune, and optimise Java services to ensure reliability, scalability, and excellent runtime performance., * Design, develop, and maintain Java backend applications using modern frameworks and best practices.

• Build and optimise services using Java (JDK 21+), Java SE, Spring Boot, JMS, REST, and SQL.
• Implement high-quality CI/CD pipelines with Jenkins, including unit, integration, and automated test orchestration.
• Work within containerised environments using Docker and Kubernetes.
• Develop and tune data-intensive services interacting with Oracle and PostgreSQL databases.
• Design and maintain distributed microservices and event-driven systems using Kafka and REST APIs.
• Operate and troubleshoot applications running on public cloud platforms (Azure preferred; AWS also relevant).
• Use infrastructure-as-code tooling such as Terraform to support cloud deployments.
• Apply strong monitoring, observability, and networking principles to ensure system stability.
• Perform performance profiling and tuning of high-throughput, low-latency applications.
• Collaborate closely with engineering teams to solve complex technical challenges.
• Contribute to technical discussions, architecture decisions, and best-practice improvements.

This position is ideal for someone who enjoys deep technical problem-solving, distributed systems, and hands-on performance engineering., Technical Skills

• Strong experience in Java application development.
• Excellent knowledge of:
• Java JDK 21+, Java SE
• Spring Boot
• JMS, REST, SQL
• Practical experience with Jenkins, CI pipelines, unit and integration testing, and test orchestration.
• Advanced knowledge of Docker and Kubernetes environments.
• Very good understanding of Oracle and PostgreSQL databases.
• Comfortable working in Linux environments.
• Knowledge of Kafka, RESTful APIs, and microservices architecture.
• Familiarity with public cloud platforms (Azure preferred) including Terraform, Kubernetes, networking, and monitoring tools.
• Hands-on experience tuning high-throughput, large-scale systems deployed on cloud platforms (Azure or AWS).