Infrastructure & DevOps Engineer

About Precision AI

Precision AI is on a mission to transform agriculture with cutting-edge drone technology. Our aerial spraying systems help farmers target weeds with surgical precision, reducing chemical use and increasing yields. We’re a fast-moving, impact-driven team looking for people who want to help build the future of farming.

Role Overview

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.

Key Responsibilities

Infrastructure & DevOps

• 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.
  
  

System Support & Maintenance

• 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.
  
  

Quality & Collaboration

• Implement basic QA processes and automated testing within CI/CD pipelines.
• Collaborate with AI/ML teams on infrastructure requirements, deployment needs, and tooling support.
  
  

Relevant Experience (Ideal Candidate Background)

• 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
  
  

What You Bring

• Bias for action and excellence in maintenance work within scrappy, resource-constrained environments.
• Ability to anticipate downstream issues and handle second-order effects independently without constant oversight.
• Collaborative yet autonomous working style; excited by variety and breadth over narrow specialization.
• Attention to detail in troubleshooting, performance monitoring, and incident documentation.
  
  

Bonus

• 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.
  
  

Not Sure You Meet Every Requirement?

Research shows that some candidates, especially women, underrepresented groups, and career changers, are less likely to apply for a role unless they meet 100% of the listed qualifications. At Precision AI, we believe the right person can grow into the role, and we value potential as much as experience. If you’re excited about our mission and think you could contribute, we encourage you to apply, even if you don’t check every single box.

Equal Employment Opportunity

All qualified applicants will receive consideration for employment without discrimination based on race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other status protected by law.