Java Lead Engineer / Architect - Agentic AI

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.
• Strong 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