Cloud Performance Engineering - Site Reliability Engineer ( Remote Canada)

Responsibilities:

Collaborate with our Security Operations teams to define and implement best practices around Cloud Service Provider configuration for Azure and other cloud providers.
Develop, implement, and coordinate a multi-tenant approach around service offerings for databases, container platforms, authentication, certificates, and product registries.
Design, develop, and maintain cloud performance testing strategies, frameworks, and environments to validate application scalability, reliability, and resiliency.
Develop and automate load, stress, spike, and endurance (soak) testing as part of CI/CD pipelines.
Analyze application and infrastructure performance to identify bottlenecks and recommend performance optimizations across cloud-native services.
Develop and maintain cost and utilization tracking and attribution processes across Cloud Service Providers.
Create documentation detailing Cloud Service Provider offerings, implementation patterns, and best practices.
Develop and maintain technical relationships with our core Cloud Service Providers.
Implement and maintain secure, scalable infrastructure platforms for delivering cloud services.
Ensure internal and external SLAs are consistently met or exceeded, while continuously monitoring and improving system performance, reliability, and availability.
Create tools for automating deployment, monitoring, and platform operations.
Implement and manage observability solutions (logging, metrics, tracing) using OpenTelemetry, Prometheus, Grafana, Azure Monitor, and related technologies to provide actionable performance insights.
Plan and execute chaos engineering experiments to evaluate and improve application resiliency and fault tolerance.

Requirements:

• 5+ years of experience with Cloud Service Providers and best practices around implementation and configuration, preferably managing Azure environments supporting SaaS products.
• Experience working across multiple cloud providers (Azure required; AWS and/or Google Cloud Platform considered an asset).
• Strong experience in Cloud Performance Engineering, including performance analysis, capacity planning, scalability testing, and optimization of distributed cloud-native applications.
• Proven experience working with microservices architecture, with a strong focus on Java-based services.
• Experience applying Chaos Engineering practices to evaluate and improve system resiliency.
• Strong experience designing and executing performance testing strategies, including load, stress, spike, and endurance (soak) testing, to validate application scalability and defined latency and error-rate thresholds.
• Hands-on experience with performance testing tools such as JMeter, Gatling, Azure Load Testing, or k6.
• Experience validating application services sustaining 500+ transactions per second (TPS) while meeting defined performance objectives.
• Hands-on experience deploying and managing containerized applications using Docker and Kubernetes, including autoscaling and performance optimization.
• Experience using Terraform to provision and manage cloud infrastructure using Infrastructure as Code (IaC).
• Experience tuning Kafka (partitioning, consumer group sizing, throughput/latency trade-offs) and other messaging/queueing platforms to sustain target transaction rates.
• Hands-on experience implementing and using observability platforms including OpenTelemetry, Prometheus, Grafana, Azure Monitor, Application Insights, and Log Analytics.
• Proven experience with Security and Compliance (SOC 2, HIPAA, ISO 27001) best practices and implementing controls that support high-velocity software delivery teams.