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14 часов назад

Senior Software Engineer (AI Platform)

142 000 - 158 000CAD
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior Software Engineer (AI Platform): Building and maintaining scalable AI platform infrastructure and integrating generative AI tools into healthcare workflows with an accent on Kubernetes, container security, and real-time performance monitoring. Focus on designing robust AI infrastructure components, implementing CI/CD pipelines for model deployment, and ensuring high-availability for LLM inference workloads.

Location: Must reside within commutable distance to Mississauga, Ontario

Salary: $142,000–$158,000 CAD

Company

A leading health tech company providing a platform for long-term and post-acute care providers, recognized for its innovative culture and commitment to AI-driven healthcare solutions.

What you will do

  • Design and maintain AI platform infrastructure, including Kubernetes and container security.
  • Develop and optimize tools and applications using Java and Spring Boot.
  • Implement and manage CI/CD pipelines for AI model deployment and platform operations.
  • Ensure real-time performance through advanced observability and monitoring frameworks.
  • Collaborate with cross-functional teams to integrate AI tools into daily workflows.
  • Apply Generative AI Code Assistants and spec-driven development in daily tasks.

Requirements

  • Must reside within commutable distance to Mississauga, Ontario
  • Extensive experience building and maintaining AI platform infrastructure.
  • Proficiency in Java and experience with cloud-native streaming (Azure Event Hub/Service Bus).
  • Deep knowledge of Kubernetes, container security, and relational databases.
  • Demonstrated expertise in observability frameworks like OpenTelemetry.
  • Experience with AI infrastructure components such as vector databases and prompt stores.

Nice to have

  • Experience with Kafka or Kafka-compatible platforms.
  • Knowledge of vLLM, SGLang, or similar frameworks for LLM inference.
  • Familiarity with authentication frameworks like OAuth and OpenID Connect.
  • Experience working on SaaS products and service-oriented architecture.

Culture & Benefits

  • Comprehensive benefits package starting from Day 1.
  • Retirement plan matching and wellness support programs.
  • Flexible paid time off and parental/caregiver leaves.
  • Continuous development support and learning opportunities.
  • Inclusive culture with dedicated allyship and inclusion communities.

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