Job Title

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) Hour s 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 35 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