Senior Staff DevOps Engineer

TEEMA Solutions Group; Toronto; Hybrid; CAD 90,000 - 120,000; Full time

Job summary

A leading tech company in Canada seeks an experienced Staff DevOps Engineer to design and scale a cutting-edge DevOps and MLOps platform. The ideal candidate will have over 8 years in DevOps, with strong expertise in cloud infrastructure, AWS, Docker, Kubernetes, and CI/CD. Responsibilities include architecting frameworks, managing AWS with Terraform, and ensuring system reliability. This is a hands-on role vital for ensuring the platform's scalability and security, working alongside software and AI teams.

Qualifications

• 8+ years in DevOps / Infrastructure Engineering.
• 5+ years of hands-on AWS experience.
• Strong expertise in Terraform, Docker, and Kubernetes.

Responsibilities

• Architect and implement DevOps & MLOps frameworks.
• Design and manage AWS infrastructure using Terraform.
• Build and maintain CI/CD pipelines.

Skills

DevOps

Infrastructure Engineering

AWS

Terraform

Docker

Kubernetes

CI/CD Pipeline Building

Monitoring/Observability

Python

Bash

Go

Job description

We are hiring a Staff DevOps Engineer to design and scale a DevOps and MLOps platform for an enterprise-grade semiconductor design automation SaaS. This is a hands-on, senior role responsible for cloud infrastructure, CI/CD, observability, security, and ML infrastructure from day one.

You’ll partner closely with software and AI teams to ensure our platform is scalable, reliable, secure, and production-ready.

Core Responsibilities

• Architect and implement DevOps & MLOps frameworks
• Design and manage AWS infrastructure using Terraform (IaC)
• Build and maintain CI/CD pipelines
• Operate containerized workloads using Docker and Kubernetes (EKS/ECS)
• Establish monitoring, logging, and alerting
• Enforce security best practices, IAM/RBAC, and compliance controls

Required Skills & Experience

• 8+ years in DevOps / Infrastructure Engineering
• 5+ years of hands-on AWS experience
• Strong expertise in Terraform, Docker, and Kubernetes
• Proven experience building CI/CD pipelines (Jenkins or similar)
• Experience with monitoring/observability (Prometheus, Grafana, ELK, CloudWatch)
• Solid understanding of networking, security, and cloud architecture
• Programming/scripting in Python, Bash, Go, YAML/JSON
• Exposure to MLOps (model deployment, MLflow/Kubeflow preferred)

Apply: [e-mail]

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