Backend Engineer (Data Infrastructure)

About the role:

•       Design and implement components of our query language runtime —
including parsing, semantic analysis, query planning, and execution.

•       Build and extend Kafka -native data pipelines and streaming query
execution using Kafka Streams and the broader Kafka ecosystem.

•       Develop and maintain backend services and integration layers
using Spring Boot.

•       Collaborate with database and infrastructure teams to optimize
query execution over large -scale storage systems.

•       Contribute to the design of language semantics, type systems,
and query optimization strategies.

•       Write high -performance Java and C++ code; own critical,
latency -sensitive system components.

•       Review designs and code across the team; set standards for
correctness, performance, and maintainability.

Requirements

•       Proficiency in both Java and C++ — able to write, review, and
own production code in either language.

•       Strong Kafka knowledge — required at the following levels of
depth:

•       Ideal Candidate:  Proven
experience contributing to the Kafka ecosystem — open -source contributions,
Kafka Improvement Proposals (KIPs), or deep architectural work within the Kafka
internals (broker, consumer group protocol, log compaction, etc.).

•        Minimum
Qualification:  Proven hands -on
experience building Kafka connectors and stream -processing applications using
Kafka Streams in production environments.

•       Solid Spring Boot experience — building production -grade backend
services, REST/gRPC layers, and integration components.