Job Description

About the Role

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

Linux Networking & Cloud Infrastructure

• 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.
• Programming: Strong skills in Python, Shell scripting, SQL, JavaScript/TypeScript.
• 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 nathalie@liquidanalytics.com.

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