devops engineerSTACK IT Recruitment • Toronto, ON, CA

devops engineer

STACK IT Recruitment • Toronto, ON, CA

8 days ago

Job type

Full-time

Job description

Passionate about building reliable, automated, and scalable infrastructure?

We’re looking for a DevOps Engineer to help support and optimize cloud and Kubernetes environments for an innovative video surveillance software platform.

In this role, you’ll take ownership of critical deployment pipelines, infrastructure automation, and monitoring systems, ensuring that applications run securely, efficiently, and at scale for all users.

Who You Are

You’re a technically skilled and detail‑oriented DevOps professional who thrives in hands‑on, fast‑paced environments. You’re comfortable managing multiple priorities, resolving issues quickly, and improving system reliability. You take pride in being the person others rely on to keep deployments smooth, systems robust, and infrastructure future‑ready.

Work Type

Fully On‑Site – 5 days a week in‑office
Location : Toronto, ON
Vacancy Type : This is a newly created position

What You’ll Do (Your Superpowers)

Automate the installation, deployment, and configuration of software across AWS and Kubernetes (k3s) environments

Build and maintain scripts and tools to optimize infrastructure, testing, and deployment workflows

Continuously improve CI / CD pipelines for reliability, scalability, and speed

Implement and enforce best practices for security, monitoring, and infrastructure management

Collaborate with development teams to integrate CI / CD practices and support smooth software releases

Manage cloud resources, including EC2, RDS, S3, AutoScaling, CloudWatch, and CloudFormation

Maintain containerized environments with Docker, Kubernetes, and Helm Charts

Monitor and troubleshoot infrastructure, networks, and deployment pipelines to ensure uptime and performance

Contribute to documentation and change management processes to keep infrastructure knowledge up‑to‑date

Recommend and implement improvements to processes, tooling, and system automation

What We’re Looking For (Our Wishlist)

4+ years of hands‑on experience in DevOps, cloud infrastructure, or systems engineering

Strong experience with configuration management systems (Ansible, Chef) and infrastructure‑as‑code tools (Terraform)

Solid Linux system administration experience

Expertise with Git administration and CI / CD pipelines (GitLab CI)

Experience with Docker, Kubernetes, and Helm Charts

Familiarity with AWS services : EC2, RDS, S3, AutoScaling, CloudWatch, CloudFormation

Strong scripting skills in Bash and Python

Understanding of network technologies and protocols (IP, TCP, UDP, TLS)

Experience with VMWare vSphere and Semaphore UI is a plus

Knowledge of monitoring, logging, and observability tools (Prometheus, ELK, Zabbix) is an asset

What Makes This Role Exciting

Impact – Play a critical role in maintaining reliable, scalable infrastructure for a cutting‑edge video software platform

Innovation – Work with modern cloud, containerization, and automation technologies

Growth – Expand your expertise across AWS, Kubernetes, CI / CD pipelines, and infrastructure automation

Collaboration – Partner with software developers, engineers, QA and technical support to deliver robust solutions

Base Salary : $100,000 - $130,000

Stock Options : Opportunity to own a part of the company and share in its growth

Health Spending Account (HSA) : Flexible, employer‑funded account to cover health and wellness expenses

Paid Time Off : 2 weeks of vacation to maintain a healthy work‑life balance

Ready to Elevate Your DevOps Career? Apply Now!

At STACK IT Recruitment, we connect top technical talent with standout opportunities across Canada. If you meet at least 70% of the qualifications, we encourage you to apply – we’d love to chat!

Know someone perfect for this role? Share this posting! You might help them find their next great opportunity.

We’re proud to support diversity and inclusion. Need accommodation during the hiring process? Just let us know – we’re here to help.

AI Use Disclosure

STACK IT uses AI-enhanced tools to support initial candidate screening and interview note analysis. All assessments and hiring decisions remain human‑led.

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Engineer • Toronto, ON, CA

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