Title: Site Reliability Engineer (SRE) Business Analyst

Location: Toronto, ON Hybrid (2 days per week in-person at Toronto office preferred)

Duration: 6 Months

Pay Range :C$49 INC

Skills Required: Digital : DevOps~Digital : Site Reliability Engineering (SRE)~Dynatrace

Years Experience: 8-10

Role Summary

We are seeking a highly skilled SRE / DevOps Engineer with solid expertise in Dynatrace, AI-driven observability (Davis AI), automation (Ansible), and cloud platforms (AWS &

- Azure). This role will focus on proactive monitoring, intelligent automation, and reliability engineering, ensuring high system availability and performance across distributed environments.

Key Responsibilities

- Dynatrace &
- AI-Driven Observability (Primary Focus)

Lead implementation and optimization of Dynatrace platform across applications and infrastructure

Leverage Dynatrace Davis AI for:

Automated root cause analysis

Anomaly detection and event correlation

Predictive performance insights

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 (release validation, performance gating)

Incident management tools (PagerDuty, ServiceNow, etc.)

Enable self-healing automation using Dynatrace event triggers and AI insights

- Automation &
- Configuration Management (Ansible Focus)

Design and implement automation using Ansible for:

Configuration management

Application deployments

Environment provisioning

Develop reusable playbooks and roles for scalable operations

Automate operational tasks, patching, and compliance processes

Integrate Ansible with CI/CD pipelines and monitoring systems

Improve system reliability through automated remediation workflows

- Cloud &
- AWS DevOps Tooling





Design and manage cloud-native systems on AWS, with exposure to Azure

Develop infrastructure using Terraform, CloudFormation, or CDK

Build and manage CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI)

Develop and deploy serverless architectures (Lambda, API Gateway, Step Functions)

Use AWS SDK (boto3) to automate DevOps and operational workflows

Deploy and maintain large-scale production systems via automated pipelines

Optimize cloud infrastructure for cost, performance, and scalability

- Monitoring, Logging &
- Multi-Cloud Observability

Strong experience with

AWS CloudWatch (metrics, logs, alarms, dashboards)

Azure Monitor / Log Analytics

Design unified observability across multi-cloud environments

Implement logging and tracing strategies for distributed systems

- Containers, Platforms &
- Reliability Engineering

Work in containerized environments (Docker)

Manage orchestration platforms such as Kubernetes, ECS, AKS

Ensure high availability using

Fault tolerance design

Disaster recovery strategies

Support incident response, on-call processes, and root cause analysis (RCA)

Required Qualifications

Proven experience with Dynatrace (APM, RUM, 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 tools (Terraform/CloudFormation/CDK)

Proficiency in Python (boto3), Bash scripting

Experience working in production-scale environments

Business Analyst experience

Scrum Master experience

Nice to Have

Dynatrace certification (Associate/Professional)

Advanced experience with Dynatrace APIs and automation

Experience building self-healing systems using AI-driven triggers

Familiarity with Prometheus, Grafana, ELK stack

Azure cloud experience and certifications

Experience with GitOps and platform engineering

Comments for Suppliers

📌 Site Reliability Engineer (SRE) Business Analyst (Toronto)
🏢 Artech
📍 Toronto