Senior Apache Kafka Engineer - Real-Time Streaming

BairesDev; Jalisco; On-site; MXN 2,198,000 - 3,297,000; Full time

Benefits offered by this job

USD or local currency

Paid parental leave

Multicultural environment

Global collaboration

Mentorship & growth

Job summary

BairesDev is seeking an Apache Kafka Developer to work on distributed data processing systems and real-time analytics. You will contribute to Kafka and related ecosystem projects, focusing on performance optimization and scalable architecture.

Join a global team where your experience with Kafka, Spark, and streaming platforms will drive high-throughput processing and reliable data delivery while collaborating with engineers across borders.

Qualifications

• 10+ years of experience in software development.
• Strong expertise in distributed systems and large-scale event streaming platforms.
• Understanding of Apache Kafka architecture, including topics, partitions, and consumer groups.
• Proficiency in Java and Scala.
• Experience in performance tuning of distributed systems at scale.
• Core contributions to Apache open source projects (Kafka, Spark, Flink, or similar).
• Advanced level of English.

Responsibilities

• Contribute actively to Apache Kafka and related open source projects as a core contributor.
• Develop and optimize event streaming platforms for high-throughput message processing.
• Build streaming analytics capabilities using Kafka Streams and integration with Apache Spark.
• Enhance Kafka cluster performance, topic configurations, and producer/consumer optimization.
• Collaborate with engineering teams on system integration and deployment.

Skills

Java

Scala

Distributed systems

Kafka knowledge

Open source contributions

Performance tuning

Tools

Kafka

Spark

Flink

Hive

Iceberg

Kafka Streams

Job description

BairesDev is seeking an Apache Kafka Developer to work on distributed data processing systems and real-time analytics. You will contribute to Kafka and related ecosystem projects, focusing on performance optimization and scalable architecture.

Join a global team where your experience with Kafka, Spark, and streaming platforms will drive high-throughput processing and reliable data delivery while collaborating with engineers across borders.