SRE/DevOps Engineer (3/5 onsite)

Looking for someone with REAL experience, able to pass technical interview WITHOUT an AI (or any other) support, and prove his/her abilities at work on-site/in-office.

Role: SRE/DevOps Engineer (strong intermediate level)

Contract length: 6 months (possible extension)

Location: Toronto (Dufferin/King)

Hybrid policy: 3x per week on-site (mandatory)

Hours per day: 7.5

Start: April

Rate: 70-80/hr incorporated (depends on expertise level and experience)

Interview Process: 2 rounds ( (2nd round will be in-person; interviews will be monitored for AI support)

Client company: telecommunication/ internet provider

Main Deliverables

• Reliable CI/CD pipelines enabling smooth software delivery and supporting regular and reliable releases
• Automated deployment and operational workflows
• Stable, scalable infrastructure defined via code
• Well-monitored systems ensuring performance and uptime

Technical Stack

• CI/CD pipeline tools and frameworks: GitHub Actions, GitLab CI, Jenkins, or similar
• Automation & scripting (e.g., Bash, Python or similar)
• Containerization: Docker
• Infrastructure as Code: Terraform
• Monitoring & Observability: Prometheus, Grafana, Datadog (or equivalent tools)
• Cloud platforms: AWS, Azure, or GCP
• (Nice to have) Kubernetes, Ansible, Chef, Puppet, DevSecOps tools

Requirements

• 3–5 years of experience in a DevOps, SRE, or similar engineering role
• Hands-on experience building and maintaining CI/CD pipelines
• Practical experience automating deployments and operational workflows
• Solid experience managing Docker-based containerized applications
• Hands-on experience with Infrastructure as Code using Terraform
• Experience working with application and system monitoring tools
• Working knowledge of at least one major cloud platform (AWS, Azure, or GCP)

Responsibilities

• Build, maintain and improve CI/CD pipelines to support reliable software delivery
• Automate deployments, infrastructure provisioning, and repetitive operational workflows
• Manage and optimize Docker container environments
• Develop and maintain Terraform code for scalable, repeatable infrastructure
• Implement and manage monitoring solutions to ensure performance, availability, and reliability
• Diagnose and resolve infrastructure, pipeline, and deployment issues
• Continuously improve DevOps tooling, processes, and platform reliability