Site Reliability Engineer at Socket.dev — NeverHard

Position: Senior SRE Engineer Job Location: Toronto, 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: 3+ 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) #J-18808-Ljbffr