SRE Lead

Position: Senior Site Reliability Engineer (SRE) Platform Lead

Job Location: Toronto, Ontario, Canada

Job Type: Full Time

Immediate Interview

Role Overview

• We are looking for a Senior Site Reliability Engineer (SRE) with a strong platform
• ownership mindset to drive reliability, scalability, and performance of mission-critical, distributed systems.
• This role sits at the intersection of software engineering, cloud infrastructure, and production operations, with a focus on building resilient systems, improving observability, automating operations, and driving reliability at scale.
• You will act as a technical lead for platform reliability, working closely with engineering and business stakeholders to ensure systems are highly available, performant, and continuously improving.

Experience:

• 5+ years of experience in SRE, DevOps, or Production Engineering
• Experience supporting large-scale distributed systems
• Experience working in production-critical environments with high availability requirements
• Exposure to global systems and cross-team collaboration

Key Responsibilities

Platform Reliability & Ownership

• Own availability, performance, and scalability of production systems
• Define and implement SLIs, SLOs, and error budgets
• Drive continuous improvements in system resilience and efficiency

Incident Management & Root Cause Analysis

• Lead end-to-end incident response and service restoration
• Perform deep root cause analysis across infrastructure, application, data, and network layers
• Implement long-term fixes and reduce recurrence through engineering improvements

Observability & Monitoring

• Design and enhance monitoring, logging, and alerting systems
• Develop actionable dashboards and improve alert quality
• Enable proactive detection of system issues

Automation & DevOps Practices

• Automate operational workflows to reduce manual effort
• Build and maintain CI/CD pipelines
• Implement Infrastructure as Code (IaC) for scalable infrastructure management

Cloud & Distributed Systems

• Manage and optimize systems on modern cloud platforms
• Troubleshoot distributed systems across compute, storage, and network layers
• Diagnose latency, routing, and performance issues in globally distributed environments

Data & Workflow Reliability

• Troubleshoot data pipelines, job failures, and data inconsistencies
• Perform data validation and analysis
• Ensure reliability across data dependencies and workflows

Networking & Traffic Management

• Diagnose issues related to DNS, HTTP/S, proxies, and load balancing
• Work with CDN and edge delivery platforms (e.g., Akamai or similar) to optimize traffic routing and performance

Stakeholder Collaboration

• Act as a liaison between engineering teams and business stakeholders
• Communicate system status, incidents, and risks with clarity and context
• Partner with cross-functional teams to drive reliability improvements

AI-Driven Reliability (Emerging Focus)

• Apply AI/ML-driven techniques for anomaly detection, alert optimization, and
• predictive issue identification
• Leverage intelligent automation to improve incident response and operational
• efficiency

Core Expectations

• Demonstrates strong ownership of production systems and outcomes
• Independently drives incident resolution and follow-through
• Applies structured, analytical thinking to complex technical problems
• Communicates effectively in high-impact, production-critical scenarios
• Focuses on long-term reliability and scalability improvements

Technical Skills:

Programming & Automation

• Strong experience in Python for automation and tooling
• Proficiency in shell scripting (Bash)
• Experience with API-driven and event-driven automation

Cloud & Infrastructure

• Hands-on experience with AWS, Azure, or GCP
• Strong understanding of cloud architecture, networking, and security fundamentals
• Infrastructure as Code using Terraform, CloudFormation, or Ansible

DevOps & CI/CD

• Experience with Jenkins, GitLab CI, or similar tools
• Strong understanding of build, release, and deployment pipelines

Observability

• Experience with Datadog, Splunk, Prometheus, or Grafana
• Strong logging, monitoring, and alerting practices
• Familiarity with incident management tools (e.g., PagerDuty)

Data & Databases

• Strong SQL skills for troubleshooting and validation
• Understanding of data pipelines and system dependencies

Systems & Platform

• Strong Linux fundamentals
• Experience with Docker and containerized environments
• Exposure to Kubernetes and web servers (e.g., Nginx)

Orchestration

• Experience with Airflow, Autosys, or similar scheduling tools

Networking & CDN

• Strong understanding of DNS, HTTP/S, proxies, and load balancing

Experience with CDN and edge delivery platforms (e.g., Akamai or similar)