Technical Consultant

• Strong hands-on development in Java, Spring Boot, Microservices, and REST APIs
• Deep Kafka experience – understands fundamentals, event-driven architecture, and practical implementation
• Experience with Apache Flink streaming – able to explain core concepts such as sources, sinks, and data streams
• Spark or distributed data processing exposure considered strong asset
• Strong understanding of distributed systems, scalability, and fault tolerance
• Database knowledge with ability to discuss optimization strategies (indexes, query tuning, performance)
• Experience with monitoring, observability, and performance tuning (Prometheus, Grafana, ELK or similar)
• Familiar with CI/CD pipelines and DevOps practices (Jenkins, GitHub Actions, Git workflows)
• Experience working in cloud environments (AWS, Azure, or GCP)
• Comfortable with trunk-based development, proper tagging, structured releases, and documentation practices
• Targeting mid-level / Level II engineers who are hands-on builders (not architects or purely conceptual)
• Strong communication skills – clear, articulate, confident explaining technical concepts
• Engaged, collaborative problem-solver who participates actively in whiteboarding and technical discussions
• Reliable and committed candidate willing to attend onsite interviews and work hybrid (3 days onsite Toronto)
• Must pass full background verification and demonstrate stable employment and education history

Spark or distributed data processing exposure considered strong asset