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Alquemy Search & Consulting
Full Stack EngineerAlquemy Search & Consulting • Toronto, ON, Canada
Full Stack Engineer

Full Stack Engineer

Alquemy Search & Consulting • Toronto, ON, Canada
30+ days ago
Job type
  • Full-time
Job description

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

  • Strong 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, ON, Canada

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