Senior DevOps & Site Reliability Engineer - Americas

Appspace•Toronto, ON

1d•Remote

About The Position

Our Cloud Operations team is seeking a Senior DevOps & Site Reliability Engineer who will play a critical role in ensuring the reliability, performance, and scalability of our diverse SaaS applications. You are a problem-solver and an automator at heart. This role is a specialized hybrid, bridging the gap between legacy VM-based architectures and modern cloud-native standards through aggressive automation and development-focused operations. Unlike a traditional SRE, this role is deeply integrated with the software development lifecycle, focusing on the consolidation and optimization of platform operations. You will be responsible for building the CI/CD frameworks, self-service tools, and AI-driven automation that allow our engineering teams to move faster while maintaining rock-solid stability. Your mission is to maximize the ROI of our existing infrastructure by "automating away" manual toil. On-call coverage will be required on a weekly rotation basis. In this role, you will be the technical anchor for a global platform footprint that includes a mix of Azure IaaS/PaaS, Google Cloud Platform (GCP), Kubernetes, and various data platforms. Your day will consist of: Intelligent Automation & DevOps: Identifying manual "toil" and replacing it with automated workflows for monitoring, change management, and routine administration of large-scale VM environments to ensure a positive ROI. AI-Enhanced Operations: Leading the integration of AI tools for automated code reviews, development frameworks, and predictive log analysis to drive departmental velocity and efficiency. Scalable CI/CD & Provisioning: Designing and maintaining "self-service" deployment frameworks and CI/CD pipelines (GitHub Actions, Bamboo) using Infrastructure as Code (Bicep, Terraform). Strategic ROI Projects: Evaluating platform components to determine the most cost-effective path: automating the current state or migrating features to modern, shared architectures. Unified Observability: Designing and maintaining a comprehensive observability stack across Azure and GCP (metrics, logs, traces) to identify performance bottlenecks and proactively address system defects. Cross-Functional Collaboration: Partner with engineering, security and operations teams to ensure new features are "born" with reliability, security and automated delivery in mind; Ensure adherence to security best practices and compliance standards (SOC2, HIPAA, ISO 27001) and operational excellence with cost efficiency. Root Cause Analysis & Forensics: Investigating complex performance defects by following log trails across web, application, and database tiers (SQL Server, MongoDB, MySQL). Governance & Security: Ensuring all platforms meet security standards (SOC2, HIPAA, ISO 27001) through automated policy enforcement across Azure and GCP.

Requirements

Must have a passion for life-long learning.
6+ years in DevOps or SRE roles, with a proven track record of bridging development and operations in complex cloud environments
Extensive experience with Microsoft Azure (IaaS, PaaS, App Services, Networking) and/or Google Cloud Platform (GCP).
Expert-level PowerShell and Python skills.
Hands-on experience with Bicep or Terraform is required
Strong background in Windows/Linux Server OS, Kubernetes (AKS/GKE), Helm, and container orchestration
Familiarity with various middleware and PaaS technologies (e.g. Event Hub, Service Bus, CosmosDB, RabbitMQ, MongoDB, etc.)
Expert-level troubleshooting and the ability to reason through complex process workflows to identify faults in large-scale platform environments.

Nice To Haves

Experience with Atlassian suite (Jira, Confluence, Bitbucket).
Experience with AI-driven log analysis or automated incident remediation.
Knowledge of database tuning (SQL Server, MySQL, MongoDB).
Familiarity with compliance standards (SOC2, HIPAA, GDPR).

Responsibilities

Play a critical role in ensuring the reliability, performance, and scalability of our diverse SaaS applications.
Bridge the gap between legacy VM-based architectures and modern cloud-native standards through aggressive automation and development-focused operations.
Build CI/CD frameworks, self-service tools, and AI-driven automation.
Maximize the ROI of our existing infrastructure by "automating away" manual toil.
Be the technical anchor for a global platform footprint that includes a mix of Azure IaaS/PaaS, Google Cloud Platform (GCP), Kubernetes, and various data platforms.
Identify manual "toil" and replace it with automated workflows for monitoring, change management, and routine administration of large-scale VM environments.
Lead the integration of AI tools for automated code reviews, development frameworks, and predictive log analysis.
Design and maintain "self-service" deployment frameworks and CI/CD pipelines (GitHub Actions, Bamboo) using Infrastructure as Code (Bicep, Terraform).
Evaluate platform components to determine the most cost-effective path: automating the current state or migrating features to modern, shared architectures.
Design and maintain a comprehensive observability stack across Azure and GCP (metrics, logs, traces).
Partner with engineering, security and operations teams to ensure new features are "born" with reliability, security and automated delivery in mind.
Ensure adherence to security best practices and compliance standards (SOC2, HIPAA, ISO 27001) and operational excellence with cost efficiency.
Investigate complex performance defects by following log trails across web, application, and database tiers (SQL Server, MongoDB, MySQL).
Ensure all platforms meet security standards (SOC2, HIPAA, ISO 27001) through automated policy enforcement across Azure and GCP.