Software Engineer
Remote Kafka Developer role focused on building and maintaining high‑throughput streaming pipelines using Kafka, Java, Scala, Spring Boot, and Confluent tools to support decision intelligence products.
This is a remote position.
Please go through the entire job post thoroughly before pressing Apply. Post pressing Apply, you shall reach the assessment page that must be attempted.
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Busigence is a Decision Intelligence Company. We create decision intelligence products for real people by combining data, technology, business, and behaviour enabling strengthened decisions.
Kafka Developer
Team: Engineering
Location: Remote
Relevant Exp: 0-3 Years
Background: Been there-Done that
Compensation: Above industry standards
Requirements
Competitive compensation
We are looking for developer with real passion for data ingestion pipelines. This is a specialist and individual contributor role. Product development experience preferably at a startup or a lean team is desired
ROLE
We are looking for engineers with real passion for data pipelines with actual hands-on experience developing data application on Kafka. You would be required to work with our data science team on development of several data applications.
Mandatory
5. Must have worked on Debezium source/sink connectors with CDC implementation 6. Must have worked on producer API custom logics
9. Must have deployed atleast ten source/sink connectors in production 10. Must have worked on distributed computing, parallel processing and large-scale data management
1. Good to have worked on Admin API, Connect API and Stream API 2. Good to have worked on development of data ingestion platform
3. Good to have worked on vinaigretteKSQL, KStream 4. Good to have worked on confluent connectors 5. Good to have build connectors from scratch using Java
Benefits
For more information, visit http://www.busigence.com Products: http://busigence.com/offering
Careers: http://careers.busigence.com
Research: http://research.busigence.com
Jobs: http://careers.busigence.com
We work extensively & intensely on big data, data science, machine learning, deep learning, reinforcement learning, data analytics, natural language processing, cognitive computing, and business intelligence.
In addition to the regular stuff which every good startup offers – Lots of learning, Food, Parties, Open culture, Flexible working hours, and what not….
We offer you: [Greatest work of life]
You shall be working on our revolutionary products which are pioneer in their respective categories. This is a fact.
We try real hard to hire fun loving crazy folks who are driven by more than a paycheque. You shall be working with creamiest talent on extremely challenging problems at most happening work
Posted June 20, 2026