Job Description

Job Description

Job Title: Java Lead Engineer / Architect – Agentic AI

Location:
Toronto, ON Employment Type: Full-Time Contract Job Summary We are seeking a highly experienced Java Lead Engineer / Architect to design and build next-generation distributed platforms focused on edge computing, backend services, and AI/ML enablement. This is a hands-on technical leadership role where you will define architecture, develop production-grade solutions, and collaborate closely with engineering, data science, and product teams to deliver scalable, high-performance systems.

Key Responsibilities

Design and develop scalable distributed systems from concept to production. Build backend services and APIs using Java Spring Boot . Architect event-driven and microservices-based applications. Design edge computing and CDN-based solutions for low-latency signal processing. Develop data ingestion, validation, normalization, and processing pipelines. Build platform capabilities supporting ML inference, feature engineering, and model integration. Define integration patterns for third-party services, identity providers, and secure APIs. Design cloud-native architectures on AWS with a focus on scalability, security, and reliability. Implement observability, monitoring, logging, and governance best practices. Collaborate with cross-functional teams to deliver enterprise-scale solutions. Mentor engineers and drive architectural decisions and technical best practices.

Required

Skills 10 years of experience building enterprise distributed systems.



Strong expertise in Java and Spring Boot . Experience designing RESTful APIs, microservices, and event-driven architectures. Strong experience with AWS cloud services. Experience building scalable backend platforms supporting AI/ML workloads. Hands-on experience with AI-assisted development tools such as GitHub Copilot and LLM-based development workflows. Experience designing greenfield applications from concept through production. Robust architecture, system design, and technical leadership skills. Experience working in fast-paced Agile environments with evolving requirements.

Preferred

Skills

Experience with JavaScript/TypeScript for edge runtimes. Hands-on experience with Edge Computing , CDN platforms , Lambda@Edge , or Edge Workers. Python experience for scripting or data engineering. Experience with Databricks or similar AI/data platforms. Experience building ML inference pipelines, feature stores, or model-serving platforms. Knowledge of JWT, OAuth 2.0, PKI, JWS , identity, and security architectures. Experience with distributed tracing, observability, and monitoring tools.

Experience integrating enterprise platforms and third-party services. Open-source contributions or community involvement is a plus. Technology Stack Backend: Java, Spring Boot Cloud: AWS Languages: Java, JavaScript, TypeScript, Python AI/Data: Databricks, ML Model Registry Edge Technologies: Edge Workers, CDN Compute, Lambda@Edge Dev Tools: GitHub Copilot, AI-assisted development tools Architecture: Microservices, Event-Driven Systems, Distributed Computing

📌 Java Lead Engineer (Toronto)
🏢 Princeton IT Services
📍 Toronto