We’re Sweed, a product-driven company building an all-in-one cannabis retail platform. We’re looking for a Head of DevOps to own and transform the reliability, scalability, and cost-efficiency of our infrastructure at scale.
At Sweed, we’re reimagining how cannabis retailers operate. Our enterprise-grade platform combines POS, eCommerce, Marketing, Analytics and Inventory Management into a single, seamless solution - eliminating the need for multiple third-party tools.
We believe in simplicity, efficiency, and innovation. That’s why we build for scalability and performance, making life easier for cannabis retailers while driving real business growth.
At Sweed, we believe in the medicinal potential of cannabis. It has been shown to help with chronic pain, anxiety, depression, and many other conditions. Despite the lingering stigma, we see cannabis as a powerful tool for improving lives.
The industry is evolving rapidly, and we’re here to drive that transformation - making cannabis retail more efficient, accessible, and customer-friendly.
We’ve been on the market for 7 years, continuously growing and refining our product.
Our focus is on earning customer trust by improving delivery processes and shipping new features fast. At the same time, we operate in a complex regulatory environment, which makes reliability and operational excellence critical.
Our total team size is 200+ people.
The engineering organization is distributed globally and structured into cross-functional product teams (8-12 people each), including backend, frontend, QA, and analysts. Each team is led by a Team Lead and Product Owner.
Our business and customer-facing teams are primarily US-based, working closely with engineering to align product delivery with real user needs.
Infrastructure Strategy & Execution
Team Leadership & Growth
Operational Excellence
DevOps Platform & Tooling
Infrastructure Transformation
Reliability & High Availability
Cost Optimization & Multi-Cloud
AWS, GitLab, Terraform/Terragrunt, Kubernetes, Prometheus, Grafana, Loki, ELK, MSSQL, PostgreSQL
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