We are seeking a highly skilled Lead Full Stack Engineer to join a high-impact engineering team building a next-generation Operational Data Hub .

This platform acts as a central “book of record” for enterprise data , enabling seamless data ingestion, processing, and distribution to downstream systems through real-time streaming and API-driven architecture . The team is driving a critical transformation from batch-based processing to real-time data streaming , supporting scalable and event-driven financial systems.

As a Lead Engineer, you will play a key role in designing, developing, and modernizing distributed systems , while remaining hands‑on and contributing directly to code.

What You’ll Do

Full Stack Development

- Design, build, and maintain scalable applications across the full stack
- Develop robust backend services and APIs using Java and Spring Boot
- Contribute to frontend and integration layers as needed

Real-Time Data & Streaming

- Build and enhance real-time data pipelines and ingestion frameworks
- Work with streaming platforms such as Kafka, Pub/Sub, Pulsar, Kinesis, or similar
- Help drive the transition from batch processing to event-driven architecture

Architecture & Technical Leadership

- Lead the design of distributed,



high-performance systems
- Establish and promote engineering standards and best practices
- Ensure scalability, reliability, and security of production systems
- Mentor engineers and support technical growth across the team
- Collaborate with product, data, and engineering stakeholders
- Contribute to technical strategy and modernization initiatives

What You Bring

✅ Required Qualifications

- Solid experience in Java development , with deep expertise in Spring Boot
- Proven experience building APIs and backend services
- Hands‑on experience with streaming technologies (Kafka, Pub/Sub, Pulsar, Kinesis, Event Hubs, etc.)
- Experience designing and building distributed systems and data pipelines
- Solid understanding of event-driven architecture and real-time processing
- Demonstrated ability to lead technical initiatives and mentor engineers

Nice to Have

- Experience with Python in data or streaming environments
- Familiarity with stream processing frameworks (Flink, Spark Streaming)
- Exposure to AI/ML use cases or integrating AI capabilities into applications
- Experience with cloud-based data platforms

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📌 Full Stack Engineer (Toronto)
🏢 Alquemy Searchnsulting
📍 Toronto