Egen is a fast-growing and entrepreneurial company with a data-first mindset. We bring together the best engineering talent working with the most advanced technology platforms, including Google Cloud and Salesforce, to help clients drive action and impact through data and insights. We are committed to being a place where the best people choose to work so they can apply their engineering and technology expertise to envision what is next for how data and platforms can change the world for the better. We are dedicated to learning, thrive on solving tough problems, and continually innovate to achieve fast, effective results.
You will join a team of insatiably curious data engineers, software architects, and product experts who never settle for "good enough". Our Platform team's tech stack is based on Java8 (Spring Boot), Kotlin (Android), and RESTful microservices. We typically build and deploy applications as cloud-native Kubernetes microservices and integrate them 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 a strong understanding of object-oriented programing and cloud technologies
- End-to-end experience delivering production-ready code with Kotlin and Android libraries
- Strong experience with unit and integration testing of Kotlin applications.
- 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 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
