Software Developer (Cloud Infrastructure) – Co-Op

Role Overview: 

We’re looking for a Software Developer, Cloud Infrastructure (Co-Op) who is excited to learn how modern cloud platforms support AI-driven robotics systems. In this role, you’ll work alongside experienced engineers to help build and improve the cloud services that power our vision-guided robots, gaining hands-on experience with real production systems in a supportive, fast-learning environment. 

This is an opportunity to apply what you’ve learned in school to real-world infrastructure challenges, while developing practical skills in cloud engineering, DevOps, and distributed systems. This role is based in person at our Vancouver office and is an 8-month co-op term.

What You’ll Do 

• Build and improve cloud services: Contribute to scalable cloud services running on AWS or GCP. Learn how infrastructure is defined using Infrastructure as Code (IaC) and help implement improvements to existing systems. 
• Work with data and telemetry: Help develop or maintain systems that ingest, store, and expose telemetry from robotic and vision systems, enabling teams to monitor performance and diagnose issues. 
• Learn reliability and observability practices: Support efforts to instrument services with logging and metrics. Learn how teams think about uptime, monitoring, and safe system changes. 
• Apply secure engineering principles: Work with senior engineers to understand access control, secrets management, and secure-by-design cloud infrastructure. 
• Collaborate across teams: Partner with Robotics, Vision, and Software teams to understand how cloud systems support real-world robot deployments. 

What You’ll Learn 

• How production cloud infrastructure supports AI and robotics systems 

• Practical use of Infrastructure as Code (Terraform, CDK, or similar) 

• Observability, reliability, and secure system design 

• How cross-functional teams ship and operate complex systems 

Why This Co-Op Is a Great Experience 

• Real impact, real systems: Your work will support systems used in real factories and not toy projects or internal demos. 
• Strong mentorship: You’ll work closely with experienced engineers who provide guidance, feedback, and learning opportunities. 
• Exposure to cutting-edge technology: Robotics, AI, computer vision, and cloud infrastructure all intersect here. 
• Growth-focused environment: We value curiosity, learning, and thoughtful problem solving over knowing everything on day one. 

What We’re Looking For 

• Currently enrolled in a Bachelor’s or Master’s program in Computer Science, Software Engineering, or a related field 

• Coursework or project experience with cloud platforms (AWS, GCP, or similar) 

• Programming experience in at least one language (e.g., Python, Go, JavaScript/TypeScript) 

• Familiarity with Git and basic software development workflows 

• Interest in distributed systems, cloud infrastructure, and DevOps. 

• Strong communication skills and willingness to learn 

Nice to Have (Not Required) 

• Exposure to Docker, containers, or Kubernetes 

• Familiarity with Infrastructure as Code tools (Terraform, CDK, CloudFormation) 

• Experience with CI/CD tools through coursework or personal projects 

• Interest in robotics, AI, or large-scale systems 

 Why You’ll Love It Here 

• Purpose with impact: Help enable smarter, safer automation in real industries 

• Learning by doing: Apply academic knowledge to real production systems 

• Supportive culture: Collaborative, curious, and people-first 

• Great location: Gastown office with transit access and a vibrant tech community 

To apply: While submitting your application, please ensure you upload both your resume and transcript, either combined into a single file or as separate files.

• Assessment: After applying, you will be selected to complete a TestGorilla assessment and walk away with results you can reuse in any future job applications.
• Interviews: Take part in interview conversations focused on real problem-solving, how you work, and what you want to learn from the co-op.
• Background Check: A brief check is completed as required before an offer.
• Timeline: Receive a decision within three to four weeks, so you can plan your journey with confidence.
• Human Review: Your application is reviewed by real engineers and people-team members who care about your growth.