Join the Java Platform team to develop cloud-native microservices using Java8 and Spring Boot, focusing on agile methodologies and production-ready code.
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 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 5 years of 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
Top Skills
AWS
Azure
Docker
GCP
Java8
Kafka
Kubernetes
Microservices
NoSQL
Restful Apis
Spring Boot
SQL
Similar Jobs
Big Data • Cloud • Internet of Things • Productivity • Software • Business Intelligence • Infrastructure as a Service (IaaS)
Lead end-to-end development of the Nasuni Portal, manage a team of engineers, oversee project delivery and foster a collaborative team culture.
Top Skills:
CSSDjangoFastapiGitHTMLJavaScriptMySQLPostgresPythonReactRestful ApisTypescript
Fintech • Financial Services
The role involves leading software engineering initiatives, resolving technical challenges, and collaborating on digital marketing solutions using Adobe Experience Platform and related products.
Top Skills:
Adobe AnalyticsAdobe CampaignAdobe Experience CloudAdobe Experience PlatformAPIsAudience ManagerCustomer Journey AnalyticsData Science WorkspaceJSONRtcdp
Fintech • Financial Services
Lead software engineering initiatives, design and develop client-server and web applications, manage multiple priorities, and guide less experienced staff while using Agile methodologies.
Top Skills:
AjaxAngularHarnessHibernateHTML5J2EeJavaJavaScriptJenkinsJSONLiquibaseMicroservicesReact JsRestSoapSonarcubeSpring BootSpring MvcUdeploy
What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
