Lead / Principal Java Engineer
High Tech Genesis · Toronto, Ontario, Canada ·
- Work mode
- Hybrid
- Seniority
- Principal
- Category
- Software engineering
- Experience
- 10+ years
High Tech Genesis · Toronto, Ontario, Canada ·
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Designs and builds scalable distributed systems for AI/ML platforms, backend services, and edge computing using Java Spring Boot and AWS. Responsible for architecting cloud-native solutions, developing production-quality software, and collaborating with cross-functional teams.
Role Overview
We are seeking a highly experienced Lead / Principal Java Engineer to design and build next-generation distributed systems across backend services, edge computing, and AI/ML platforms.
This is a hands-on technical leadership role for an engineer who can take complex systems from 0 to 1, make architectural decisions, and write production-quality code. The ideal candidate thrives in an ambiguous, fast-moving environment and enjoys working across multiple technical domains.
Key Responsibilities
Design and build end-to-end distributed systems spanning edge detection, ingestion APIs, processing, storage, and downstream services.
Develop highly scalable backend services using Java and Spring Boot.
Design and implement APIs, microservices, event-driven architectures, and data processing pipelines.
Architect and develop solutions using AWS and edge/CDN computing technologies.
Build solutions for data normalization, feature pipelines, and ML model serving/integration.
Design third-party integrations including identity, authentication, token validation, and secure data exchange.
Make technical decisions around storage, reliability, observability, security, and governance.
Work closely with data science, product, and engineering teams to move AI/ML capabilities from experimentation into production.
Lead technical design discussions and communicate architecture decisions across teams.
Take ownership of greenfield initiatives from concept through implementation and production.
Use AI-assisted development tools such as GitHub Copilot and LLM-based coding assistants to improve engineering productivity.
Mentor other engineers and provide technical leadership through hands-on development and design.
10+ years of experience building production distributed systems.
Strong expertise in Java and Spring Boot.
Extensive experience with REST APIs, microservices, event-driven architectures, and distributed systems.
Strong AWS experience across compute, storage, networking, and IAM.
Hands-on experience with edge computing, CDN execution environments, edge workers, Lambda@Edge, or similar technologies.
Experience building data platforms or systems supporting ML inference and model serving.
Strong understanding of system design, scalability, reliability, observability, and security.
Proven experience taking systems from 0 to 1 in an environment with evolving requirements.
Strong communication skills with the ability to influence technical decisions across teams.
Demonstrated experience using AI-assisted development tools and LLM-powered engineering workflows.
Nice to Have
JavaScript / TypeScript experience.
Python experience for data engineering or scripting.
Databricks or similar data/AI platforms.
Experience with ML model registries and feature platforms.
Knowledge of JWT/JWS, PKI, OAuth 2.0, identity, or token verification.
Experience with distributed tracing, structured logging, and observability platforms.
Experience building multi-party integrations or network/platform services.
Open-source contributions.
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