Cloud Infrastructure Engineer

Liquid Analytics; Ontario; On-site; CAD 80,000 - 110,000; Full time

Job summary

A leading company in Ontario is seeking a DevOps Cloud Infrastructure Engineer. This role involves creating a high-performance cloud environment, focusing on infrastructure as code, and ensuring secure and efficient networking solutions. Ideal candidates will have strong software engineering skills, particularly in Python, and expertise in Linux, Kubernetes, and AWS. Join a dynamic team and contribute to innovative solutions in a collaborative setting.

Benefits

Competitive salary

Career development opportunities

Supportive team culture

Qualifications

• Expertise in Linux networking and Kubernetes management.
• Proficiency in data wire protocols and distributed data design patterns.

Responsibilities

• Design and implement secure networking solutions in cloud environments.
• Manage and optimize Kubernetes clusters and CI/CD pipelines.

Skills

Linux Networking

Kubernetes

Data Design Patterns

AWS

Infrastructure as Code

CI/CD

Education

Degree in Computer Science

Tools

Terraform

AWS CDK

Git

Argo CD

Grafana

Prometheus

Job description

We're looking for a DevOps Cloud Infrastructure Engineer who is, first and foremost, a software developer . In this role, you'll be a key product development team member-building and maintaining a high-performance, scalable, and secure cloud environment that powers our applications. Your mission is to create an exceptional developer experience by building robust infrastructure as code , enabling our engineers to move fast and confidently.

This is not a scripting role-we're not looking for someone who hacks shell scripts and YAML files together. We need a real developer : someone who knows how to structure a Python project , write clean, maintainable code, and design infrastructure systems with the same rigor as application code.

You'll thrive at Liquid Analytics with deep expertise in Linux networking , Kubernetes , and data wire protocols and a strong grasp of distributed data design patterns (streams, queues, hash tables, etc.). Solid SQL skills are essential-we work with high-performance analytics engines like DuckDB . We can train you in AWS if you're strong in systems and networking, but software engineering excellence is non-negotiable.

About the Company

Liquid Analytics builds high-performance decision analysis products. Our dynamic team thrives on challenges and builds software that delights customers. We are based in the Blue Mountains, Ontario, Canada.

Responsibilities

• Design and implement secure and efficient networking solutions in Linux-based cloud environments.
• Manage and optimize Kubernetes clusters, including building custom operators.
• Work with service meshes (e.g., Istio) for secure and efficient microservices communication.
• Develop and maintain infrastructure automation using Terraform and AWS CDK.

Container Orchestration & Microservices

• Deploy and maintain containerized applications on Kubernetes (EKS, ECS) and AWS Lambda.
• Implement GitOps workflows and manage continuous delivery pipelines using Argo CD.
• Ensure observability and logging best practices using Grafana, Prometheus, and CloudWatch.

Networking, Security & Compliance

• Configure and maintain AWS networking components, including VPC, Route 53, Load Balancers, IAM, and WAF.
• Implement SAST and DAST security solutions within CI / CD pipelines.
• Ensure security best practices and compliance using AWS Config, CloudTrail, and Security Hub.

Data Design & Management

• Work with data wire protocols and data structures such as streams, queues, and hash tables.
• Deploy and manage RDS Aurora Postgres, Redis, SQS, and RabbitMQ.
• Optimize data flow efficiency and ensure fault tolerance in distributed systems.

CI / CD, Automation & Observability

• Develop and optimize CI / CD pipelines using Github and GitLab CI, GitHub Actions.
• Automate infrastructure provisioning and configuration using Terraform andAWS CDK.
• Monitor system performance and reliability with Grafana, Prometheus, and centralized logging solutions.

Qualifications

• Degree in Computer Science
• Linux Networking Expert : Deep understanding of Linux networking, DNS, and security.
• Kubernetes Mastery : Strong experience managing Kubernetes, including custom operators and service meshes.
• Data Design Patterns : Proficiency in handling streams, queues, and hash tables.
• AWS Expertise : EKS, Lambda, S3, RDS, and CloudWatch.
• Infrastructure as Code : Experience with Terraform and AWS CDK.
• CI / CD & DevOps Tools : Familiarity with Git (Github, GitLab CI, GitHub Actions), Argo CD, and Helm.
• Security & Compliance : Understanding of IAM, CloudTrail, DNSSEC, Security Hub, and SAST / DAST.
• Database & Queues : Hands-on experience with RDS Aurora Postgres, Redis, SQS, and RabbitMQ.

Nice to have

• Experience in multi-account / multi-region AWS configurations.
• Knowledge of cost optimization strategies in AWS.
• Certifications in AWS, Kubernetes, or Terraform.
• Experience with other cloud platforms (GCP, Azure).
• Familiarity with observability tools like Prometheus and Grafana

Location Requirements

You must live 30-40 minutes from Thornbury, Ontario, or in downtown Toronto. The role requires on-site availability 2-3 days per week for collaboration at the Blue Mountain location.

Why Join Us?

Work in a fast-paced, collaborative environment where your contributions directly impact our products. Enjoy life in a beautiful natural setting with clean air, water, and a high quality of life. Work with cutting-edge cloud technologies and build innovative solutions. Opportunity to drive real impact in a high-growth environment. Supportive team culture, competitive salary, benefits, and career development opportunities.

Ready to join us?

Apply today! Send your resume and LinkedIn message to .

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