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Site-Reliability Engineer; SRE
Job Description & How to Apply Below
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Aarorn Technologies Inc provided pay range
This range is provided by Aarorn Technologies Inc. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
CA $45.00/hr - CA $50.00/hr
Job Title:
Site-Reliability Engineer (SRE)
Location:
Toronto, ON (3x onsite a week)
Employment Type:
Contract
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, file system 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, back pressure, and data integrity.
Strong backend systems and database optimization skills.
Proficiency with CI/CD tools (Git Hub Actions, Azure Dev Ops, 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.
Seniority level
Mid-Senior level
Employment type
Contract
Job function
Engineering and Information Technology
Industries
IT Services and IT Consulting
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