• Collaborate with Data Scientists, Engineers, and Product Management to transform raw data too often into actionable and meaningful insights for the enterprise

• Work in a small dynamic, product-oriented environment to deliver enterprise-class products.

• Design, implement and maintain Java-based applications that can be high-volume and low-latency

• Ensure the best possible performance, quality, and responsiveness of the applications

• Write well-designed, testable code

• Design and Implement REST API.

• Continuously improve software development practices work across the full stack.

• In many cases work on designing and developing data pipelines using Apache Spark or Google Data Pipelines.

Requirements

What you bring (Skills):

• Experience working with product-based companies.

• 5-8+ Years Experience in building modern cloud-native microservices-based applications in Java,  Groovy, Spring Boot, and SQL or NoSQL Databases.

• Experience working on Spring, Spring Boot, and Spring Security frameworks.

• Experience in Java-based distributed & scalable application development.

• Hands-on with distributed eventing architectures using Kafka, Google cloud platform (GCP), BigQuery, or other NoSQL databases.

• Ability to produce easily consumable RESTful APIs with strong living documentation and specification-by-example tests.

Great if you know (Skills):

• T-shaped skills are always preferred – so if you have the passion to work across the full stack spectrum – it is more than welcome.

• Exposure to infrastructure-based skills like Docker, Istio, and Kubernetes is a plus

• Exposure to Apache Spark, Kafka, Flink, or data pipelines.

• Ability to work out the right strategies of deployment for BigData systems.

  • Collaborate with DevOps and Test Automation teams to build favorable developer experience in both build and CI/CD.