We are seeking a hands-on Technical Lead to design and develop scalable distributed

systems across backend services, edge computing, AWS, and AI/ML platforms. This role

requires someone who can guide engineers, make technical decisions, and remain

actively involved in coding and implementation.

Key Responsibilities

- Lead the design and development of scalable backend and edge-computing
- solutions.
- Build production-grade APIs and microservices using Java and Spring Boot.
- storage, and downstream routing.
- Implement event-driven architectures, validation pipelines, and data-normalization
- services.
- Develop integrations with identity, trust, and third-party platform providers.
- Support JWT validation, token verification, public-key caching, and secure signal
- Build data-access and feature-processing services supporting ML inference.
- Guide engineers through coding standards, design reviews, troubleshooting, and
- delivery.
- Collaborate with architects, data scientists, product teams, and external partners.
- Use AI-assisted development tools to improve engineering productivity and delivery




- speed.

Requirements:

- Strong hands-on expertise in Java, Spring Boot, REST APIs, and microservices.
- Experience with distributed systems and event-driven architecture.
- Solid AWS experience across compute, storage, networking, and IAM.
- Experience with edge computing, CDN functions, edge workers, or
- Experience building greenfield applications or platforms from zero to one.
- Exposure to ML inference pipelines, feature processing, model serving, or data
- platforms.
- Experience using GitHub Copilot, LLM-powered workflows, or similar AI
- development tools.
- Strong communication, mentoring, and problem-solving skills.

Preferred Skills

- Python and Databricks experience.
- Knowledge of JWT, JWS, PKI, OAuth 2.0, or token verification.
- Experience with observability, structured logging, distributed tracing, and
- monitoring.
- Background in identity, fraud, trust, cybersecurity, or network services.

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📌 Technical Lead (Toronto)
🏢 DynPro
📍 Toronto