Postuler

Publié il y a 3 mois

Lead / Principal Java Engineer

@ High Tech Genesis

Toronto, Ontario

HybrideContrat10+ ans d’expérience
Postuler
SIGNAUX

En bref

High Tech Genesis is hiring a Lead / Principal Java Engineer on a contract basis to design and build distributed systems across backend services, edge computing and AI/ML platforms. The role is hands-on technical leadership: taking systems from 0 to 1, making architecture decisions and mentoring engineers. It requires 10+ years building production distributed systems.

Responsabilités :

  • Design and build end-to-end distributed systems
  • Develop scalable Java and Spring Boot backend services
  • Architect AWS and edge/CDN solutions
  • Move AI/ML models from experimentation into production
  • Lead technical design discussions and mentor engineers

Résumé des exigences :

  • 10+ years building production distributed systems
  • Strong expertise in Java and Spring Boot
  • Hands-on AWS experience across compute, storage, networking and IAM
  • Edge computing or Lambda@Edge experience
  • Experience supporting ML inference and model serving
  • Proven 0 to 1 delivery in evolving environments

Outils et compétences

Source et dates

Site carrière / système de candidatures · recruitee

Date publiée par l’employeur
2026-08-17
Première détection par notre source
2026-10-15
Mise à jour du dossier source
2026-11-06

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

NiveauChef d’équipe
DomaineDéveloppement logiciel
Expérience10 an(s) et plus
Milieu de travailBureau, Domicile
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

High Tech Genesis

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Product Engineering Services for the High-Tech Sector

Description complète de l’entreprise

At HTG, we are focused on providing engineering services specifically to the high-tech sector. As a trusted partner, we augment teams to reduce your time to market. In addition to this, we also provide engineering employment services. We understand high-tech product creation. We accelerate your feature roadmap resulting in increased market share and increased revenue.

Abonnés LinkedIn
3 774
Personnes associées sur LinkedIn
23
Bureaux déclarés
  • 2781 Lancaster Road, Suite 100, Ottawa, ON K1B 1A7, CA
Autres noms enregistrés
  • High Tech Genesis
Spécialités
  • Telecommunications
  • Product Verification
  • Software Development
  • Software Quality Assurance
  • High Tech
  • Technology
  • Developers
  • Engineer
  • Engineer
  • Cloud Developer
  • Network Engineering
  • Network Security
  • Embedded
  • C++ Software Development
  • Test Automation Development
  • Java/J2EE Software Development
  • IT Support
  • Software testing
  • Product Architect
  • DevOps Engineers
  • Scrum Master
  • User Interface Designer
  • Technical Writer
  • Hardware Engineer
  • Project Management
  • and Infrastructure Engineer
Le profil indique une agence de recrutement
Non

At HTG, we are focused on providing engineering services specifically to the high-tech sector. As a trusted partner, we augment teams to reduce your time to market. In addition to this, we also provide engineering employment services. We understand high-tech product creation. We accelerate your feature roadmap resulting in increased market share and increased revenue.

ChampValeur
SecteurBusiness Consulting and Services
Taille51-200 employees
Siège socialOttawa, ON
Type d’organisationPrivately Held
Fondée en2011
SpécialitésTelecommunicationsProduct VerificationSoftware DevelopmentSoftware Quality AssuranceHigh TechTechnologyDevelopers EngineerEngineerCloud Developer
Offres sur Jobsy41
LinkedInVoir la page
Description

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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