Lead Full Stack Engineer (Java, Streaming, Real-Time Data)
Alquemy Search & ConsultingRole Overview
Alquemy Search & Consulting is hiring a Lead Full Stack Engineer (Java, Streaming, Real-Time Data). This is a full-time role in Toronto, Ontario. Part of Alquemy Search & Consulting's Frontend hiring. Full responsibilities, required qualifications, and the apply link are listed in the description below.
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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
Mentorship & Collaboration
- 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
Frequently Asked Questions
How do I apply for the Lead Full Stack Engineer (Java, Streaming, Real-Time Data) position at Alquemy Search & Consulting?
Use the Apply button above to submit your application directly to Alquemy Search & Consulting. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the Lead Full Stack Engineer (Java, Streaming, Real-Time Data) position at Alquemy Search & Consulting located?
This position is based in Toronto, Ontario. Alquemy Search & Consulting has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
What does a Lead Full Stack Engineer (Java, Streaming, Real-Time Data) at Alquemy Search & Consulting earn?
Alquemy Search & Consulting has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Lead Full Stack Engineer (Java, Streaming, Real-Time Data) role at Alquemy Search & Consulting posted?
This role was posted on April 7, 2026 (61 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
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