SRE - Python - Airflow - Dynatrace

5 days ago

Toronto, Ontario, Canada TECONICA SOFTWARES Full time

Job Description

We're looking for an SRE to elevate the reliability, performance, and efficiency of mission-critical batch workloads across Capital Markets Technology. You'll be the technical lead for hand-on automation, application development, host systems engineering, and observability via Dynatrace, with a primary focus on optimizing batch runtimes. If you love shaving milliseconds off latency, removing toil with code, and building resilient systems that just don't fail—you'll thrive here.

This role is critical to our operational excellence strategy and will play a key role in maturing our reliability engineering practices across the Capital Markets domain.

Key Responsibilities:

Reliability & Performance: Ensure stability and optimize batch processing pipelines; reduce runtime and failure rates, engineering for resiliency.

Observability: Implement and maintain monitoring with Dynatrace; create dashboards, alerts, and runbooks.

Systems Engineering: Manage and tune Linux and Windows systems for performance and resilience.

Automation & Orchestration: Create/Modify and optimize Airflow DAGs; build CI/CD pipelines for automation.

Incident Management: Lead incident response, root cause analysis, and postmortems; enforce SLOs and reliability practices.

Security & Compliance: Apply security best practices and ensure regulatory compliance in systems and automation.

Qualifications:

Expert-level Python: Advanced coding, performance tuning, concurrency (async/multiprocessing), testing, and packaging.

Linux Systems Expertise: Kernel/OS tuning, networking, filesystem optimization, process management, and troubleshooting.

Dynatrace Mastery: Custom dashboards, KPIs, anomaly detection, tagging strategy, and alerting configuration.

Airflow Expertise: DAG design best practices, SLA management, scheduler/executor tuning, and scaling strategies.

Proven experience optimizing batch workloads for performance, reliability, and cost.

Strong understanding of distributed systems concepts retries, idempotency, backpressure, and data integrity.

Strong understanding of backend systems and database optimization.

Proficiency with CI/CD pipelines (GitHub Actions, Azure DevOps, Jenkins) and Infrastructure as Code (Terraform, Ansible).

Proven experience with containers and orchestration (Docker, Kubernetes).

Excellent incident management and root cause analysis skills.

Strong communication and collaboration abilities.

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