Infrastructure & DevOps Engineer

Precision AI • Calgary, AB

17h • Hybrid

About The Position

The Infrastructure & DevOps Engineer at Precision AI will focus on building and maintaining reliable infrastructure, automation, and deployment systems across diverse technical platforms. This role emphasizes DevOps/EngOps expertise with a support mindset. You will build automated CI/CD pipelines, support AWS infrastructure, clean up systems architecture, and contribute to building agentic AI tools for internal use. Working closely with AI/ML and Engineering teams, this role requires someone comfortable operating in ambiguous, fast-paced startup environments without relying on formal processes or extensive documentation. This role is hybrid working out of our Southeast Calgary office 3 days per week.

Requirements

• 3-5+ years of professional experience in DevOps, EngOps, or infrastructure engineering roles at startups with demonstrated automation and systems reliability experience.
• Strong proficiency with GitHub Actions for CI/CD pipeline development and automation.
• Proficiency in scripting (Python/Bash) and infrastructure-as-code practices; experience debugging web applications and cloud systems.
• Hands-on experience managing AWS infrastructure (EC2, S3, Lambda, RDS, CloudWatch, etc.) in production environments.
• Experience diagnosing connectivity issues using tools like ping, curl, traceroute, and log analysis.
• Comfortable handling large image datasets (e.g., on S3), CSV/JSON files, and performing data quality checks and validation.
• Ability to identify and resolve CPU/memory bottlenecks, slow services, and system performance issues.
• Basic Java and Linux experience.

Nice To Haves

• Startup background with end-to-end ownership of support across multiple teams.
• Exposure AI/ML infrastructure, model deployment pipelines, or agentic AI tools.
• Exposure to edge AI deployment on NVIDIA Jetson platforms, including running and testing GPU-accelerated workloads (CUDA/TensorRT).
• Experience deploying, running, and troubleshooting containerized (Docker) applications.

Responsibilities

• Design, build, and maintain automated CI/CD pipelines using GitHub Actions; implement deployment automation across development, staging, and production environments.
• Support and optimize AWS infrastructure; manage cloud resources, monitoring, and cost optimization.
• Clean up and refactor systems architecture to improve reliability, scalability, and maintainability.
• Triage and resolve infrastructure issues across AI infrastructure, website platforms, and agentic AI tools; prioritize production incidents and system reliability improvements.
• Monitor system health, respond to incidents, and implement fixes in a high-velocity startup environment.
• Maintain runbooks and infrastructure documentation to enable team self-sufficiency.
• Implement basic QA processes and automated testing within CI/CD pipelines.
• Collaborate with AI/ML teams on infrastructure requirements, deployment needs, and tooling support.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed