Site Reliability Engineer

Gemini Solutions Pvt Ltd; Toronto; On-site; CAD 120,000 - 170,000; Full time

Job summary

Gemini Solutions Pvt Ltd seeks a Senior Site Reliability Engineer to drive reliability, scalability, and performance for distributed systems. You will bridge software engineering, cloud infrastructure, and production operations while leading platform reliability initiatives.

You will own availability, define SLIs/SLOs, and lead incident response across global environments. Strong automation, IaC, and cloud experience are essential for long-term resilience and scalable growth.

Qualifications

• 3+ years in SRE/DevOps/Production Engineering.
• Experience in production-critical environments with high availability requirements.
• Exposure to global systems and cross-team collaboration.

Responsibilities

• Own availability, performance, and scalability of production systems.
• Define and implement SLIs, SLOs, and error budgets.
• Drive continuous improvements in system resilience and efficiency.
• Lead end-to-end incident response and service restoration.
• Perform root cause analysis across infrastructure, application, data, and network layers.
• Implement long-term fixes to reduce recurrence.
• Design and enhance monitoring, logging, and alerting systems.
• Develop dashboards and improve alert quality.
• Enable proactive detection of system issues.
• Automate operational workflows and build CI/CD pipelines.
• Implement 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.
• Troubleshoot data pipelines, job failures, and data inconsistencies.
• Perform data validation and analysis.
• Ensure reliability across data dependencies and workflows.
• Diagnose DNS, HTTP/S, proxies, and load balancing issues.
• Work with CDN/edge platforms to optimize traffic routing and performance.
• Communicate system status, incidents, and risks with stakeholders.
• Partner with cross-functional teams to drive reliability improvements.
• Apply AI/ML-driven techniques for anomaly detection and alert optimization.

Skills

Python automation

Bash scripting

Cloud platforms

Observability tools

Docker & Kubernetes

Networking & CDN

CI/CD pipelines

IaC (Terraform/Ansible)

Datadog/Splunk/Prometheus/Grafana

AI-driven reliability

Tools

Jenkins

GitLab CI

Terraform

CloudFormation

Job description

• 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
• 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

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

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