Senior Kafka Engineer - Remote, Lead Data Streaming

BairesDev; Sucre; Remote; COP 389,395,000 - 519,194,000; Full time

Benefits offered by this job

100% remote work

Flexible hours

Paid parental leaves and holidays

Hardware and software setup for home

Job summary

BairesDev is seeking a Senior Kafka Engineer to lead streaming data initiatives and build scalable event-driven architectures. You will design Kafka solutions, mentor engineering teams, and set the standard for data streaming excellence.

Join a remote-first, globally distributed team and help optimize performance, throughput, and reliability across production environments while collaborating with data engineering and development groups worldwide.

Qualifications

• 4+ years of experience in Kafka engineering or streaming data platforms.
• Strong expertise in Kafka architecture, cluster management, and stream processing.
• Extensive experience with distributed systems, data pipelines, and event-driven architectures.
• Proven ability to lead technical projects and mentor engineering teams.
• Deep understanding of performance tuning, monitoring, and troubleshooting in Kafka environments.
• Advanced level of English.

Responsibilities

• Design and implement scalable Kafka streaming solutions with focus on performance and reliability.
• Lead technical decisions and provide guidance on Kafka architecture and data pipelines.
• Mentor junior and mid-level engineers in Kafka best practices and streaming technologies.
• Optimize Kafka clusters for performance, throughput, and reliability across production environments.
• Collaborate with data engineering and development teams to deliver quality streaming solutions.
• Evaluate and implement new streaming technologies and patterns to enhance data processing capabilities.

Skills

Kafka expertise

Streaming pipelines

Distributed systems

Technical leadership

English proficiency

Tools

Apache Kafka

Job description

BairesDev is seeking a Senior Kafka Engineer to lead streaming data initiatives and build scalable event-driven architectures. You will design Kafka solutions, mentor engineering teams, and set the standard for data streaming excellence.

Join a remote-first, globally distributed team and help optimize performance, throughput, and reliability across production environments while collaborating with data engineering and development groups worldwide.