Site-Reliability Engineer (SRE)

Job Title: Site-Reliability Engineer (SRE)

Location: Toronto, ON (3x onsite a week)

Employment Type: Contract

Pay Rate: CAD$40 - $50/HR INC

Job Description

We are seeking a highly skilled Site Reliability Engineer (SRE) to enhance the reliability, performance, and efficiency of mission-critical batch workloads within Capital Markets Technology. In this role, you will serve as the technical lead for automation, application development, systems engineering, and observability using Dynatrace, with a primary focus on optimizing batch runtimes.

If you are passionate about reducing latency, eliminating manual toil through automation, and building resilient systems that never fail, this is the perfect opportunity for you. This position is integral to our Operational Excellence Strategy and will drive the maturity of reliability engineering practices across the Capital Markets domain.

Key Responsibilities

• Reliability & Performance: Optimize batch processing pipelines to ensure stability, reduce runtime, and minimize failure rates while engineering for resiliency.
• Observability: Implement and maintain monitoring solutions using Dynatrace; develop dashboards, alerts, and runbooks.
• Systems Engineering: Configure and tune Linux and Windows systems for optimal performance and resilience.
• Automation & Orchestration: Design and optimize Airflow DAGs; build and maintain CI/CD pipelines for automation.
• Incident Management: Lead incident response, root cause analysis, and postmortems; enforce SLOs and reliability best practices.
• Security & Compliance: Apply security best practices and ensure adherence to regulatory compliance in systems and automation.
  
  

Qualifications

• Python Expertise: Advanced coding skills including performance tuning, concurrency (async/multiprocessing), testing, and packaging.
• Linux Systems: Deep knowledge of kernel/OS tuning, networking, filesystem optimization, process management, and troubleshooting.
• Dynatrace Proficiency: Experience with custom dashboards, KPIs, anomaly detection, tagging strategies, and alert configurations.
• Airflow Expertise: Strong understanding of DAG design, SLA management, scheduler/executor tuning, and scaling strategies.
• Proven experience optimizing batch workloads for performance, reliability, and cost efficiency.
• Solid understanding of distributed systems concepts such as retries, idempotency, backpressure, and data integrity.
• Strong backend systems and database optimization skills.
• Proficiency with CI/CD tools (GitHub Actions, Azure DevOps, Jenkins) and Infrastructure as Code (Terraform, Ansible).
• Hands-on experience with containers and orchestration (Docker, Kubernetes).
• Excellent incident management and root cause analysis capabilities.
• Strong communication and collaboration skills.
  
  

Disclaimer: As part of our hiring process, we may use automated or AI-based tools to support candidate screening and application review. These tools are used to assist decision-making and do not replace human judgment.