Senior Java Software Engineer

Java Platform Engineer - Java8 / Microservices / Kafka - India

HYDERABAD /ENGINEERING AND PRODUCT MANAGEMENT /FULL TIME/ ON-SITE

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Egen is a data engineering and cloud modernization firm helping industry-leading companies achieve digital breakthroughs and deliver for the future, today. We are catalysts for change who create digital breakthroughs at warp speed. Our team of cloud and data engineering experts are trusted by top clients in pursuit of the extraordinary. An Inc. 5000 Fastest Growing Company 7 times, and recently recognized on the Crain’s Chicago Business Fast 50 list, Egen has also been recognized as a great place to work 3 times.

You will join a team of insatiably curious data engineers, software architects, and product experts who never settle for "good enough". Our Java Platform team's tech stack is based on Java8 (Spring Boot) and RESTful web services. We typically build and deploy applications as cloud-native Kubernetes microservices and integrate with scalable technologies such as Kafka in Docker container environments. Our developers work in an agile process to efficiently deliver high value data driven applications and product packages.

Required Experience:
• Minimum of Bachelor’s Degree or its equivalent in Computer Science, Computer Information Systems, Information Technology and Management, Electrical Engineering or a related field.
• Have experience working and strong understanding of object-oriented programing and cloud technologies
• End to end experience delivering production ready code with Java8, Spring Boot, Spring Data, and API libraries
• Strong experience with unit and integration testing of the Spring Boot APIs.
• Strong understanding and production experience of RESTful API's and microservice architecture.
• Strong understanding of SQL databases and NoSQL databases and experience with writing abstraction layers to communicate with the databases.

Nice to have's (but not required):
• Exposure to Kotlin or other JVM programming languages
• Strong understanding and production experience working with Docker container environments
• Strong understanding and production experience working with Kafka
• Cloud Environments: AWS, GCP or Azure