PointClickCare - Canada- Jr Software Engineer (SRE)
Requirements
• 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. • 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. • $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.
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.
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