Remote Apache Kafka Engineer – Real-Time Data Pipelines

BairesDev; Mexico; On-site; PHP 5,474,000 - 7,908,000; Full time

Benefits offered by this job

Remote work 100%

Flexible hours

Paid holidays

Mentorship & growth

Global collaboration

Job summary

BairesDev is seeking a Software Engineer specialized in Apache Kafka to build and operate real-time data pipelines powering event-driven architectures. You will design scalable streaming solutions with high throughput and reliability across the enterprise data ecosystem.

The role involves designing and managing production-grade Kafka clusters, developing pipelines, and implementing robust data schemas with Avro and Confluent Schema Registry.

Qualifications

• 4+ years of experience in Data Engineering, Software Engineering, or Stream Processing.
• Proven expertise in building and operating real-time data pipelines using Apache Kafka.
• Proficiency in designing and implementing event-driven architectures at scale.
• Hands-on experience with Kafka Streams, Confluent, and Avro for data serialization.
• Deep understanding of streaming infrastructure management and performance tuning.
• Advanced proficiency in English.

Responsibilities

• Design, implement, and manage production-grade Kafka clusters and streaming applications.
• Develop real-time data integration pipelines using Kafka Connect and Kafka Streams.
• Optimize cluster performance, topic configurations, and resource utilization for high-scale environments.
• Implement robust data schemas and versioning strategies using Avro and Confluent Schema Registry.
• Collaborate with engineering teams to define event-driven standards and streaming best practices.
• Ensure system availability and data integrity through proactive monitoring and disaster recovery planning.

Skills

Kafka

Kafka Streams

Avro

Confluent

Tools

n/a

Job description

BairesDev is seeking a Software Engineer specialized in Apache Kafka to build and operate real-time data pipelines powering event-driven architectures. You will design scalable streaming solutions with high throughput and reliability across the enterprise data ecosystem.

The role involves designing and managing production-grade Kafka clusters, developing pipelines, and implementing robust data schemas with Avro and Confluent Schema Registry.