[Winter 2027] Site Reliability Engineer Intern 8 Months

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

About the opportunity:

We are looking for a motivated Software Developer / Site Reliability Engineer Intern to join our engineering team and work on software reliability, automation, observability, and operational improvements. The role will provide hands‑on experience with enterprise‑scale systems while exploring modern technologies and AI‑powered development tools.

What you’ll get to do:

• 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 and experience we value:

• Pursuing a degree in Computer Science, Software Engineering, Computer Engineering, or a related field.
• Familiarity with at least one programming language such as C#, Java, Python.
• Strong problem‑solving and analytical skills.
• Interest in SRE, cloud technologies, automation, observability, and distributed systems.
• Willingness to learn, investigate problems, and work collaboratively.

What would really make you stand out:

• Experience with Git, SQL, REST APIs, automated testing, or CI/CD.
• Hands‑on experience using AI coding tools or AI development platforms.
• Experience building AI agents, AI‑powered applications, or automation using LLMs/APIs.
• Personal, academic, or previous internship software development experience.
• Exposure to cloud technologies and modern developer tools.

What you’ll gain:

• Hands‑on experience working on a real enterprise software product.
• Mentorship from experienced engineers.
• Exposure to production systems and software development lifecycle.
• Opportunities to develop your coding, debugging, testing, and problem‑solving skills.
• Experience applying AI tools and emerging technologies to software development.