Site Reliability Engineer (SRE) - Dynatrace & AI Observability

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 environment 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.

Required Skills:

Top 3 Required Skills: 1. IBM Financial transaction 2. Payment flow 3. Support Modernization Detailed Job Description: Design develop and maintain applications built on IBM Financial Transaction Manager (FTM) to support core payments processing. Contribute to the development of payment flows supporting transaction processing. Build and support integrations between FTM and upstream/downstream systems using enterprise integration patterns. Participate in the design development testing deployment and production support. Troubleshoot and resolve application and integration issues in a complex regulated environment. Collaborate with architecture QA and operations teams to ensure platform stability scalability and performance. Support modernization initiatives and enhancements to existing payment hub capabilities. Produce clear technical documentation and participate in code reviews and knowledge sharing.