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, 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

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 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 Robust understanding of DNS, proxies, and load balancing

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

📌 Site Reliability Engineer (Toronto)
🏢 Gemini Solutions
📍 Toronto