AI Platform Engineer with DevOps Experience

Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!; Halifax; On-site; CAD 90,000 - 130,000; Full time

Job summary

Astra-North Infoteck Inc. is seeking a skilled DevOps and AI engineer in Canada to develop value-add services that integrate with our DevOps stack and to coach teams on DevOps adoption.

You will shape developer experience and drive best practices across CI/CD, GitHub Actions, and Jenkins, while advancing AI/GenAI platforms and LLMOps frameworks. You will design, build, and operate scalable AI/GenAI platforms, enabling enterprise-grade LLM deployments, governance, and monitoring within a

Qualifications

• Strong engineering capabilities across the SDLC and production-class delivery.
• Excellent analytical, communication, ownership, and problem-solving skills.
• Hands-on development experience in Java, Python, JavaScript/TypeScript, C#, or C/C++.
• Familiarity with application and system design patterns.
• Experience with Docker or Kubernetes.
• Experience with Agile methodologies, including Scrum.
• Strong CI/CD and DevOps practices experience.
• Experience with GitHub Actions and Jenkins.
• Knowledge of AI/GenAI platforms, LLMOps, and MLOps.

Responsibilities

• Develop value-add services that integrate with the existing DevOps stack.
• Coach application teams on leveraging DevOps offerings.
• Champion developer experience and DevOps best practices.
• Participate in tool adoption, POCs, and provide recommendations.
• Evolve DevOps services for application teams.
• Design, build, and operate enterprise AI/GenAI platforms supporting Large Language Models (LLMs) and AI-powered applications.
• Develop scalable LLMOps and MLOps frameworks for deployment, monitoring, versioning, evaluation, governance.
• Build reusable AI services.

Skills

SDLC mastery

Analytical

Communication

Ownership

Problem solving

Java

Python

JavaScript/TypeScript

C#

C/C++

Design patterns

CI/CD

Agile/Scrum

GitHub Actions

Jenkins

AI/GenAI

Tools

Docker

Kubernetes

Job description

What Will You Do?

• Develop value-add services that integrate with the existing DevOps stack.
• GitHub Actions
• TypeScript
• Python
• Jenkins
• Coach application teams on leveraging DevOps offerings.
• Champion developer experience and DevOps best practices.
• Participate in new tool adoption, POCs, and provide recommendations.
• Evolve DevOps services for application teams.
• Design, build, and operate enterprise AI/GenAI platforms supporting Large Language Models (LLMs) and AI-powered applications.
• Develop scalable LLMOps and MLOps frameworks for:
  • Model deployment
  • Monitoring
  • Versioning
  • Evaluation
  • Governance
• Build reusable AI services.

Must-Have Skills

• Strong engineering capabilities across the SDLC and production-class delivery.
• Strong analytical, communication, ownership, and problem-solving skills.
• Development experience in one or more of:
  • Java
  • Python
  • JavaScript / TypeScript
  • C#
  • C / C++
• Experience with application and system design patterns.
• Experience with Docker or Kubernetes.
• Experience with Agile methodologies, including Scrum.
• Strong experience with CI/CD and DevOps practices.
• Experience with GitHub Actions and Jenkins.
• Knowledge of AI/GenAI platforms, LLMOps, and MLOps.