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 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
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




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
Hands-on experience with AWS, Azure, or GCP
Robust 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
Solid 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 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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📌 Site Reliability Engineer (Ontario)
🏢 Gemini Solutions
📍 Ontario