Principal Apache Kafka Engineer

TL;DR

Principal Apache Kafka Engineer: Developing and optimizing distributed data processing and real-time analytics systems with an accent on Apache Kafka ecosystem performance and scalable architecture. Focus on building high-throughput event streaming platforms, Kafka Streams analytics, and system integration.

What you will do

• 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.

Requirements

• Advanced level of English required.
• 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).

Culture & Benefits

• Excellent compensation in USD or local currency if preferred.
• Paid parental leave, vacation, and national holidays.
• Innovative and multicultural work environment.
• Collaborate and learn from the global Top 1% of talent in each area.
• Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities.