AI Platform Engineer

Soni; Toronto; On-site; CAD 80,000 - 120,000; Full time

Job summary

Soni is looking for an AI Platform Engineer based in Toronto, Ontario. The ideal candidate will be passionate about automation and DevOps transformation, supporting application teams and enhancing developer experience through scalable tooling and CI/CD solutions.

Your responsibilities will involve developing services that integrate with DevOps platforms, building CI/CD pipelines with tools like GitHub Actions and Jenkins, and driving improvements in automation. Strong software engineering skills and experience with Docker or Kubernetes are required.

Qualifications

• Strong software engineering mindset with SDLC and production delivery experience.
• Experience with application and system design patterns.
• Experience with Docker and/or Kubernetes.
• Experience working in Agile/Scrum environments.
• Strong analytical, communication, and problem-solving skills.

Responsibilities

• Develop services and tools that integrate with existing DevOps platforms.
• Build and maintain CI/CD pipelines using GitHub Actions, Jenkins, TypeScript, Python, and Groovy.
• Support and coach application teams on DevOps best practices and tooling.
• Drive improvements in developer experience and automation.
• Participate in tool evaluations, proof of concepts, and technology recommendations.
• Enhance and evolve DevOps services and processes.

Skills

Software engineering mindset

Problem-solving skills

Analytical skills

Communication skills

Tools

Docker

Kubernetes

GitHub

GitHub Actions

Jenkins

TypeScript

Python

Groovy

AWS

Azure

ElasticSearch

Kibana

Job description

Soni's client is seeking an AI Platform Engineer with a passion for automation, efficiency, and DevOps transformation to support application teams and enhance developer experience through scalable tooling and CI/CD solutions.

Responsibilities

• Develop services and tools that integrate with existing DevOps platforms
• Build and maintain CI/CD pipelines using GitHub Actions, Jenkins, TypeScript, Python, and Groovy
• Support and coach application teams on DevOps best practices and tooling
• Drive improvements in developer experience and automation
• Participate in tool evaluations, proof of concepts, and technology recommendations
• Enhance and evolve DevOps services and processes

Required Qualifications

• Strong software engineering mindset with SDLC and production delivery experience
• Experience with application and system design patterns
• Experience with Docker and/or Kubernetes
• Experience working in Agile/Scrum environments
• Strong analytical, communication, and problem-solving skills

Preferred Qualifications

• Experience with GitHub, GitHub Actions, Jenkins, or deployment automation tools
• Experience with cloud platforms such as AWS or Azure
• Experience with ElasticSearch and Kibana
• Experience building or supporting distributed applications