P
Pointclickcare
Junior Software Engineer
Skills
DatadogGrafanaAIPrometheusKubernetesAppDynamicsAzure
2 months ago
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Important information
Salary:
CA$70,000 – CA$80,000 / year
Location:
Canada
Work mode:
Remote
Published on:
7 September 2026
What they need
Who you are
- 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
- 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
What the job involves
- 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
- 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
- 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
- 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
- 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
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