SRE Intern: Automate, Observe, and Scale with AI Tools

Dayforce; Toronto; Hybrid; CAD 42,000 - 54,000; Full time

Job summary

Dayforce is seeking a Software Developer / Site Reliability Engineer Intern to join the engineering team in Toronto. You will contribute to software reliability, automation, observability, and operational improvements while gaining hands-on experience with enterprise-scale systems.

You will collaborate with developers and Cloud Operations, learning to enhance monitoring, CI/CD, and production reliability using modern tools and AI-powered development platforms.

Qualifications

• Pursuing a degree in Computer Science, Software Engineering, Computer Engineering, or a related field.
• Familiarity with languages such as C#, Java, Python.

Responsibilities

• Improve system reliability, observability, monitoring, logging, and alerting across engineering services.
• Analyze application and system issues, troubleshoot failures, and help identify root causes.
• Develop automation and tools to reduce manual operational effort and improve engineering efficiency.
• Support CI/CD pipelines, deployment automation, and operational workflows.
• Help identify reliability risks and implement improvements to system resilience and performance.
• Build dashboards, metrics, and health checks to improve visibility into system and application health.
• Support production issue investigation and participate in root‑cause analysis and follow‑up improvements.
• Explore and apply AI‑powered development tools and AI agents to improve engineering and operational productivity.
• Work closely with developers, Cloud Operations, and other engineering teams to improve reliability and adoption of engineering solutions.

Skills

C#

Java

Python

Education

Pursuing a degree in Computer Science/Software Engineering/Computer Engineering or related field

Job description

Dayforce is seeking a Software Developer / Site Reliability Engineer Intern to join the engineering team in Toronto. You will contribute to software reliability, automation, observability, and operational improvements while gaining hands-on experience with enterprise-scale systems.

You will collaborate with developers and Cloud Operations, learning to enhance monitoring, CI/CD, and production reliability using modern tools and AI-powered development platforms.