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We are seeking a highly motivated and experienced Java Developer with a strong focus on building and supporting distributed systems, particularly within a Kubernetes environment.

In this role, you will be instrumental in developing and enhancing our stream processing applications, ensuring their reliability, scalability, and performance.

You will collaborate closely with a talented team to deliver high-quality software, troubleshoot production issues, and contribute to the continuous improvement of our platform.

If you have a solid foundation in Java development and a passion for distributed technologies, we encourage you to apply.

Essential Job Functions :

- Design, develop, and implement new features and enhancements for our existing stream processing applications built using technologies such as Kafka Streams, Flink, or Apache Beam.

- Write clean, efficient, and well-documented Java code.

- Participate in code reviews to ensure code quality and adherence to best practices.

- Provide timely and effective support for production issues related to our stream processing applications.

- Collaborate with the team to diagnose and resolve complex technical problems.

- Assist in addressing compliance-related requirements and ensuring our systems adhere to relevant regulations.

- Write comprehensive unit, integration, and potentially end-to-end tests to ensure the reliability and stability of the software.

- Create and maintain clear and concise technical documentation, including design documents, API specifications, and operational procedures.

- Participate in operational tasks related to the deployment, monitoring, and maintenance of our applications within a Kubernetes environment.

- Contribute to automation efforts for deployment and operational processes.

- Troubleshoot and resolve issues related to the Kubernetes infrastructure and application deployments.

Required Skills :

- Excellent command of the Java programming language and its core libraries.

- Experience with build tools such as Maven or Gradle.

- Familiarity with Java frameworks like Spring or Jakarta EE.

- Expertise in Stream Processing Applications.

- Significant experience and deep expertise in building stream processing applications using at least one of the following technologies:

- Solid understanding of Kubernetes concepts, including pods, deployments, services, namespaces, and configuration management (ConfigMaps, Secrets).

- Experience deploying and managing Java applications within a Kubernetes environment.

- Familiarity with containerization technologies like Docker.

- Good understanding of fundamental distributed systems concepts such as consistency, fault tolerance, and distributed messaging.

- Proficiency with version control systems, preferably Git.

- Experience with other stream processing technologies or message brokers (e.g, Apache Pulsar, RabbitMQ).

- Familiarity with monitoring and logging tools (e.g, Prometheus, Grafana, ELK stack).

- Experience with CI/CD pipelines (e.g, Jenkins, GitLab CI/CD).

- Knowledge of cloud platforms (e.g, AWS, Azure, GCP).

- Understanding of testing methodologies and experience writing different types of tests.

- Experience with performance tuning and optimization of distributed systems.

- Familiarity with compliance standards relevant to the financial industry (if applicable).

Education :

- Bachelor's degree in Computer Science, Engineering, or a related field