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

Design and build scalable distributed platforms focusing on edge computing, backend services, and AI/ML enablement. Lead the architecture of event-driven microservices and develop production-grade solutions on AWS.

Requires over 10 years of experience in enterprise distributed systems with strong expertise in Java, Spring Boot, and AWS. Candidates should have a proven track record of designing greenfield applications and utilizing AI-assisted development tools.

• TypeScriptPreferred

Identified from the job description. Confirm important requirements above.

• Java
• Spring Boot
• AWS
• Distributed Systems
• Microservices
• Event-Driven Architecture
• Edge Computing
• AI/ML Enablement
• RESTful APIs
• System Design
• GitHub Copilot
• TypeScript
• Python
• Databricks
• ML Inference Pipelines
• Technical Leadership

• Software
• Technology
• Engineering
• Data & Analytics
• Management & Leadership

Minimum experience

10+ years

Apply by

Jan 25, 2027

Posting language

English

Working hours

40 hours per week

Seniority

Mid-Senior level

Application method

Direct apply is available