Platform Engineer

Swoon; Toronto; On-site; CAD 69,000 - 96,000; Part time

Job summary

Swoon is partnering with a client in Sports & Entertainment to expand its digital innovation. We seek a Cloud Platform Engineer to build scalable cloud-native infrastructure and tooling.

You will design across AWS, Azure, and on-prem, apply SRE practices, and drive automation and knowledge transfer in a fast-paced environment. Ideal candidates have 5+ years in DevOps/SRE with AWS, Docker, Kubernetes, Terraform, Ansible, Helm, Flux, ArgoCD, and proficiency in Python or Go.

Qualifications

• 5+ years of operational experience in DevOps, SRE, or software engineering with AWS.
• Strong hands-on with Docker and Kubernetes deployments in cloud and on-prem.
• Proficient in IaC and CI/CD tooling across modern platforms.

Responsibilities

• Design & Build: Develop and operate the cloud platform across AWS, Azure, and on-prem to deliver highly available infra.
• Automate & Scale: Apply SRE concepts, use IaC and CI/CD to scale the platform.
• Monitor & Maintain: Ensure health, measure availability/latency with Prometheus, Grafana, Datadog; participate in on-call.
• Collaborate & Guide: Work with cross-functional teams; establish patterns and enable developers.
• Innovate: Leverage AI-powered tooling and transition from on-prem to cloud-first environments.

Skills

AWS

DevOps

SRE

Python

Go

CI/CD

GitOps

Linux

Tools

Docker

Kubernetes

Terraform

Ansible

Helm

Flux

ArgoCD

GitHub

Job description

Location: Toronto, ON (Local candidates preferred)

Contract: 6 Months (Initial engagement with potential for extension)

Rate: Between $50-$70/HR (depending on the years of experience)

Swoon is partnering with a client in Sports & Entertainment industry to expand the digital innovation side of their business. The Venture's team is looking for a Cloud Platform Engineer to help build scalable, cloud-native infrastructure and developer tooling that will power the client's next generation of digital experiences.

If you are passionate about applying SRE concepts, automating infrastructure, and working in a highly collaborative, fast-moving environment, we want to hear from you!

What You Will Do

• Design & Build: Develop and operate the cloud platform across AWS, Microsoft Azure, and on-prem technologies to deliver highly available infrastructure for internal product teams.
• Automate & Scale: Apply SRE concepts to build highly available services, leveraging IaC and CI/CD pipelines to ensure the platform scales with demand.
• Monitor & Maintain: Ensure system health, measuring availability and latency using tools like Prometheus, Grafana, and Datadog. Participate in an on-call schedule for incident escalation.
• Collaborate & Guide: Work closely with cross-functional development and operations teams. Establish design patterns and drive knowledge transfer of technical practices and developer enablement.
• Innovate: Evaluate and leverage AI-powered development tools to improve engineering workflows, and participate in the ongoing transition from on-prem to cloud-first environments.

The Must-Haves

• Cloud Expertise: 5+ years of operational experience (DevOps, SRE, or Software Engineering) with extensive, hands-on experience in AWS.
• Containerization & Orchestration: Strong background with Docker and enterprise Kubernetes platforms.
• Infrastructure as Code: Deep knowledge of Terraform and Ansible.
• CI/CD & GitOps: Hands-on experience with declarative management tools like Helm, Flux, or ArgoCD, alongside SCM tools like GitHub.
• Programming/Scripting: Proficiency in Python and/or Go.
• OS: Solid experience working in Linux-based environments.

Bonus Points

• Experience managing both Linux and Windows servers in production.
• Familiarity with identity and access management integrations (e.g., Azure Identity) and building automations using the Microsoft Graph API.
• Solid understanding of general networking principles and common protocols.
• Experience with operational incident management tools (ServiceNow, PagerDuty).
• Exposure to large-scale distributed systems and advanced AI engineering workflow tools.