Lead AWS DevOps

Cynet Systems Inc; Remote; CAD 90,000 - 130,000; Full time

Job summary

A leading cloud technology provider in Peel Region, Mississauga is seeking a skilled cloud infrastructure professional. The role focuses on overseeing AI services deployment across platforms like AWS, Google Cloud, and Azure. Candidates should have strong experience with cloud technologies, Kubernetes, and Infrastructure as Code tools such as Terraform. The ideal applicant will also possess programming skills in Python or Go and a Bachelor’s degree in a relevant field. Join a dynamic team that values innovation and efficiency in cloud solutions.

Qualifications

• Strong experience with AWS, Google Cloud, and Azure.
• Expertise in Kubernetes architecture and container orchestration.
• Hands-on experience with Infrastructure as Code tools.
• Proficiency in Python or Go.
• Deep understanding of networking, security, and database technologies.

Responsibilities

• Oversee deployment and management of AI services and infrastructure across AWS, Google Cloud, and Azure.
• Automate infrastructure provisioning, deployment, and scaling using Infrastructure as Code methodologies.
• Design, implement, and maintain observability systems to monitor application health and performance.
• Optimize scale and performance of AI services to handle high request volumes efficiently.
• Design and optimize Kubernetes-based deployment and orchestration for containerized services.
• Ensure security and compliance standards are met for cloud services and APIs.
• Collaborate with security teams to implement best practices and controls.
• Participate in on-call rotations to troubleshoot and resolve production issues.

Skills

AWS

Google Cloud Platform

Microsoft Azure

Terraform

Ansible

Docker

Kubernetes

Python

Go

Observability tools

Performance tuning

Cloud security

Education

Bachelor’s degree in Computer Science, Engineering

Job description

Job Description

Requirement/Must Have

• Strong experience with AWS, Google Cloud, and Azure.
• Expertise in Kubernetes architecture and container orchestration.
• Hands‑on experience with Infrastructure as Code tools.
• Proficiency in Python or Go.
• Deep understanding of networking, security, and database technologies.

Experience

• Extensive experience deploying and managing cloud infrastructure.
• Experience supporting large‑scale, high‑availability systems.
• Background in DevOps or SRE practices, including on‑call support.

Responsibilities

• Oversee deployment and management of AI services and infrastructure across AWS, Google Cloud, and Azure.
• Automate infrastructure provisioning, deployment, and scaling using Infrastructure as Code methodologies.
• Design, implement, and maintain observability systems to monitor application health and performance.
• Optimize scale and performance of AI services to handle high request volumes efficiently.
• Design and optimize Kubernetes‑based deployment and orchestration for containerized services.
• Ensure security and compliance standards are met for cloud services and APIs.
• Collaborate with security teams to implement best practices and controls.
• Participate in on‑call rotations to troubleshoot and resolve production issues.

Skills

• AWS, Google Cloud Platform, and Microsoft Azure.
• Terraform, Ansible, or CloudFormation.
• Kubernetes and Docker.
• Observability and monitoring tools.
• Performance tuning and scalability.
• Cloud security and compliance.
• Python or Go programming.

Qualification and Education

• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.