Senior Software Developer - Java & Database

Job Description As an experienced candidate with 6-10 years of related work experience, you will have strong hands-on programming skills in Java and Big Data frameworks like Spark or Kafka. Your expertise in system design will enable you to develop highly reliable, fault-tolerant distributed applications with a focus on performance and scalability in the Cloud environment. You should also demonstrate an understanding of Agile principles, technical designs, iterative development, and code reviews. Your responsibilities will include: - Building high-quality software using industry-proven practices such as the 12 factor app, reactive manifesto, and CI/CD. - Developing microservices using the Spring/Spring-boot framework, including components like Spring JPA, Spring Batch, Spring Security, Spring Cloud, and Spring Data Stream. - Working with Distributed Databases like Azure CosmosDB, Couchbase, and MongoDB. - Utilizing Relational Databases such as MySQL or PostgreSQL. - Implementing Distributed Caching solutions like Memcached, Redis, and Hazelcast. - Collaborating with Distributed Messaging solutions such as Azure EventHub, Apache Kafka, and Solace. - Building and optimizing production-grade data pipelines for stream processing and batch processing to prepare datasets at scale for data analysis, modeling, and optimization. Qualifications required for this role: - Strong hands-on programming experience in Java and Big Data frameworks (Spark or Kafka). - Experience working with Distributed and Relational Databases. - Proficiency in building microservices using Spring/Spring-boot framework. - Familiarity with Distributed Caching and Messaging solutions. - Ability to design highly reliable, fault-tolerant distributed applications with a focus on performance and scalability. Please note that additional details about the company were not provided in the job description. As an experienced candidate with 6-10 years of related work experience, you will have strong hands-on programming skills in Java and Big Data frameworks like Spark or Kafka. Your expertise in system design will enable you to develop highly reliable, fault-tolerant distributed applications with a focus on performance and scalability in the Cloud environment. You should also demonstrate an understanding of Agile principles, technical designs, iterative development, and code reviews. Your responsibilities will include: - Building high-quality software using industry-proven practices such as the 12 factor app, reactive manifesto, and CI/CD. - Developing microservices using the Spring/Spring-boot framework, including components like Spring JPA, Spring Batch, Spring Security, Spring Cloud, and Spring Data Stream. - Working with Distributed Databases like Azure CosmosDB, Couchbase, and MongoDB. - Utilizing Relational Databases such as MySQL or PostgreSQL. - Implementing Distributed Caching solutions like Memcached, Redis, and Hazelcast. - Collaborating with Distributed Messaging solutions such as Azure EventHub, Apache Kafka, and Solace. - Building and optimizing production-grade data pipelines for stream processing and batch processing to prepare datasets at scale for data analysis, modeling, and optimization. Qualifications required for this role: - Strong hands-on programming experience in Java and Big Data frameworks (Spark or Kafka). - Experience working with Distributed and Relational Databases. - Proficiency in building microservices using Spring/Spring-boot framework. - Familiarity with Distributed Caching and Messaging solutions. - Ability to design highly reliable, fault-tolerant distributed applications with a focus on performance and scalability. Please note that additional details about the company were not provided in the job description.