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 robust 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)

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📌 SRE Lead (Toronto)
🏢 Socket.dev
📍 Toronto