Site Reliability Engineer

Location: Toronto, ON

Work Model: Hybrid (2 days per week in-person at the Toronto office preferred)

Required Skills

- Site Reliability Engineering (SRE)
- DevOps
- Dynatrace

Role Summary

- Design, implement, and optimize Site Reliability Engineering (SRE) and DevOps practices to ensure high system availability, performance, and reliability across distributed environments.
- Leverage Dynatrace, Davis AI, automation, and cloud technologies to enable proactive monitoring, intelligent automation, and operational excellence.

Role Description

Dynatrace & AI-Driven Observability
- Lead the implementation and optimization of the Dynatrace platform across applications and infrastructure.
- Utilize Dynatrace Davis AI for automated root cause analysis, anomaly detection, event correlation, predictive performance insights, and alert noise reduction.
- Configure and manage OneAgent deployments, Smartscape topology mapping, service flow, and distributed tracing.
- Define and monitor SLIs, SLOs, and user experience metrics.
- Build custom dashboards, alerts, and observability pipelines.
- Integrate Dynatrace with CI/CD pipelines for release validation and performance gating.
- Integrate Dynatrace with incident management tools such as PagerDuty and ServiceNow.
- Enable self-healing automation using Dynatrace event triggers and AI-driven insights.

Automation & Configuration Management
- Design and implement automation solutions using Ansible.
- Automate configuration management, application deployments, and workplace provisioning.
- Develop reusable Ansible playbooks and roles for scalable operations.
- Automate operational tasks, patching, compliance processes, and remediation workflows.
- Integrate Ansible with CI/CD pipelines and monitoring systems.

Cloud & DevOps




- Design and manage cloud-native solutions on AWS with exposure to Azure.
- Develop infrastructure using Terraform, CloudFormation, or AWS CDK.
- Build and manage CI/CD pipelines using GitHub Actions, Jenkins, or GitLab CI.
- Develop and deploy serverless solutions using AWS Lambda, API Gateway, and Step Functions.
- Automate DevOps and operational workflows using Python (boto3) and Bash scripting.
- Deploy and maintain production environments through automated pipelines.
- Optimize cloud infrastructure for cost, performance, and scalability.

Monitoring & Reliability Engineering
- Monitor and manage AWS CloudWatch and Azure Monitor/Log Analytics.
- Design unified observability across multi-cloud environments.
- Implement logging and distributed tracing strategies.
- Work with Docker, Kubernetes, ECS, and AKS environments.
- Design fault-tolerant, highly available, and disaster recovery solutions.
- Support incident response, on-call activities, and root cause analysis (RCA).

Required Qualifications

- Proven experience with Dynatrace APM, Real User Monitoring (RUM), and infrastructure monitoring.
- Strong hands-on experience with Dynatrace Davis AI capabilities.
- Experience with Ansible for automation and configuration management.
- Deep knowledge of AWS services and cloud-native architectures.
- Experience with Infrastructure as Code using Terraform, CloudFormation, or AWS CDK.
- Proficiency in Python (boto3) and Bash scripting.
- Experience supporting production-scale environments.
- Business Analyst experience.
- Scrum Master experience.

Nice to Have

- Dynatrace Associate or Professional certification.
- Experience with Dynatrace APIs and automation.
- Experience building self-healing systems using AI-driven triggers.
- Familiarity with Prometheus, Grafana, and the ELK Stack.
- Azure cloud experience and certifications.
- Experience with GitOps and Platform Engineering.

📌 Site Reliability Engineer (SRE) – Dynatrace & AI Observability (Toronto)
🏢 Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
📍 Toronto