ML Engineer (Kafka & AWS)

Toronto, ON
Hybrid
Posted Oct 17, 2026
1 position

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Employment type: Full-time
Experience level: Mid-level · 2+ years
Posting language: English
Working hours: 40 hours per week
Seniority: Mid-Senior level
Application method: Direct apply is available

Job summary

Build and support Kafka producers, consumers, topics, and event-driven applications using Apache Kafka and AWS services, particularly Amazon MSK and ECS. Provide production support for Kafka workloads, including monitoring, troubleshooting, and performance tuning.

Job details

ML Engineer (Kafka & AWS) Location: GTA, Ontario (Hybrid) Experience: 4-5 Years Key Requirements: 4-5 years of software development experience with strong hands-on Apache Kafka expertise. Experience building and supporting Kafka producers, consumers, topics, and event-driven applications. Strong AWS experience, particularly Amazon MSK and ECS. Understanding of Kafka scalability, reliability, integration, and troubleshooting. Production support experience, monitoring, and performance tuning of Kafka workloads. Strong analytical, problem-solving, and communication skills. If you're interested or know someone who would be a great fit, please send your resume or reach out directly.

What you’ll do

Requirements

Requires 4–5 years of software development experience and strong hands-on expertise with Apache Kafka. Candidates should have AWS experience, understand Kafka scalability, reliability, and integration, and demonstrate analytical, problem-solving, and communication skills.