Role overview

About the Role:

As a Junior Site Reliability Engineer, you will learn how modern software systems are built, operated, and improved in production.

You will work alongside experienced SREs who directly operate a small number of critical production services while also helping engineering teams improve reliability, observability, automation, and operational excellence.

This role is designed for engineers who enjoy software development, automation, troubleshooting, and understanding how complex distributed systems behave under real-world conditions.

You will gain hands on experience building and using AI powered operational tooling that helps engineers investigate incidents, improve observability, automate repetitive tasks, and eliminate operational toil.

Key Responsibilities:

Production Engineering

Support the operation of critical services owned by the SRE team.
Assist in monitoring service health, availability, and performance.
Participate in incident response activities under mentorship.
Learn on-call practices and production operations.
Assist with deployment validation and operational readiness activities.

Reliability Engineering & Observability

Support implementation of monitoring, alerting, dashboards, and observability improvements.
Learn how logs, metrics, traces, and events are used to diagnose production environments.
Help identify monitoring gaps and areas for improved visibility.
Participate in post incident reviews and reliability improvement initiatives.
Develop foundational understanding of SLIs, SLOs, and Error Budgets.

Automation & AI Operations

Develop scripts and automation to eliminate repetitive operational work.
Contribute to internally developed AI powered operational tools.
Learn how AI can accelerate troubleshooting and root cause analysis.
Support development of AI assisted runbooks and operational workflows.
Help identify opportunities to reduce toil through software engineering and automation.

Engineering Enablement

Partner with development teams to better understand production systems.
Assist teams in adopting reliability and observability best practices.
Support operational readiness reviews.
Learn how reliability influences software design and architecture decisions.

Required Skills and Qualifications:

0-2 years of experience through employment, internship, or co-op programs.
Degree or diploma in Computer Science, Software Engineering, or equivalent experience.
Basic programming or scripting experience.
Strong problem solving skills.
Curiosity and desire to learn complex systems.
Effective communication and teamwork skills.

Preferred Qualifications:

Exposure to Azure cloud services.
Exposure to Kubernetes or containerized applications.
Familiarity with observability platforms such as Datadog, AppDynamics, Grafana, Prometheus, or ELK.
Interest in AI, automation, and distributed systems.

$70,000 - $80,000 a year

Canada: At PointClickCare, base salary is one of the many components that make up our total rewards package. The Canada base salary range for this position is $70,000 -$80,000 and fulltime benefits.

Our salary ranges are determined by job and level. The range displayed on each job posting reflects the target for new hire salaries for the position across all Canada locations. Within the range, individual compensation is determined by job-related skills and knowledge, relevant experience including professional and lived experience, and/or work location. Your recruiter can share more information about our total rewards package during the hiring process.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.