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 DoFull Stack DevelopmentDesign, build, and maintain scalable applications across the full stackDevelop robust backend services and APIs using Java and Spring BootContribute to frontend and integration layers as neededReal-Time Data & StreamingBuild and enhance real-time data pipelines and ingestion frameworksWork with streaming platforms such as Kafka, Pub/Sub, Pulsar, Kinesis, or similarHelp drive the transition from batch processing to event-driven architectureArchitecture & Technical LeadershipLead the design of distributed,



high-performance systemsEstablish and promote engineering standards and best practicesEnsure scalability, reliability, and security of production systemsMentor engineers and support technical growth across the teamCollaborate with product, data, and engineering stakeholdersContribute to technical strategy and modernization initiativesWhat You Bring✅ Required QualificationsStrong experience in Java development, with deep expertise in Spring BootProven experience building APIs and backend servicesHands‑on experience with streaming technologies (Kafka, Pub/Sub, Pulsar, Kinesis, Event Hubs, etc.)Experience designing and building distributed systems and data pipelinesSolid understanding of event-driven architecture and real-time processingDemonstrated ability to lead technical initiatives and mentor engineersNice to HaveExperience with Python in data or streaming environmentsFamiliarity with stream processing frameworks (Flink, Spark Streaming)Exposure to AI/ML use cases or integrating AI capabilities into applicationsExperience with cloud-based data platforms#J-18808-Ljbffr

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