Zip
Software Engineer, Core Infrastructure (Mid-Senior level)
Toronto, Remote. Posted yesterday
The role
This software engineer will join the Core Infrastructure team to build and operate global multi-cell architectures. You will take ownership of infrastructure components such as Kubernetes platforms, AI infrastructure, observability, deployment pipelines, and cost optimization.
What you will do
- Build and operate global multi-cell architectures for multi-region growth.
- Assume end-to-end ownership of infrastructure components including Kubernetes platforms, AI Infra, observability, deployment pipeline and cost optimization.
- Lead the design, implementation, and operational excellence of highly scalable systems.
- Partner with engineering colleagues to accelerate and empower Zip’s product roadmap.
Required qualifications
- 4 years of experience in software engineering.
- Strong track record of building and operating large scale platforms or infrastructure independently.
- Excellent communication skills, both written and verbal.
- Bachelor's degree or higher in Computer Science or a related technical field (e.g., Physics, Mathematics).
Nice to have
- Hands-on expertise in building and operating large-scale systems, utilizing technologies like AWS, Datadog, Kubernetes, and open-source solutions such as Celery, Redis, Docling and DBOS.
- Demonstrated effective collaboration with internal stakeholders across multiple time zones.
Benefits
- Start-up equity
- 100% health, vision & dental coverage options
- Catered breakfast, lunch, & dinner
- Flexible PTO
- ClassPass membership
- Monthly commuter benefit
- Team building events & happy hours
- Home office stipend
- Phone/internet reimbursement
- Paid parental leave
- Fertility benefits
- Employee Assistance Program (EAP)
Before you apply
- Zip uses AI-enabled tools to assist in screening and assessing candidates, including resume review and interview documentation.
About the company
Zip is the AI platform for enterprise procurement. The company orchestrates procurement across teams, tools, and suppliers with the help of AI agents.