DevOps Engineer

About Sensei

Sensei is revolutionizing the retail and technology sectors with innovative solutions. We've built the technology to digitize physical stores and power them with the most advanced AI and computer-vision technology in a reliable, cost-effective, and privacy-driven platform to enhance the retail business and build the best shopping experience

We work with some of the best retailers and distinguish ourselves by creating a technology that welcomes all buyers, using all forms of payment with real-time baskets.

About Your Team

Sensei's dynamic Platform team is a dedicated team building and maintaining high-performance, reliable systems that empower our innovative retail solutions. The team's core mission is to drive platform stability, scalability, and security, ensuring seamless operations across both on-premises and cloud environments. Working closely with engineering, support, and deployment teams, we foster a collaborative environment to support Sensei's cutting-edge retail technologies.

How Can You Help?

As a DevOps Engineer at Sensei, you will be instrumental in building the infrastructure that powers our stores, pods, and cabinets, ensuring they operate with maximum efficiency and reliability. Your key responsibilities will include developing infrastructure-as-code (IaC), managing Kubernetes clusters, and optimizing resource usage to support Sensei's retail solutions. We are looking for a proactive problem-solver with strong collaboration skills, as this role will involve close coordination with engineering, support, and leadership teams to ensure robust and responsive deployments. Your contributions will directly enhance Sensei's reliability and impact the customer experience across our retail solutions.

Daily At Sensei, You Will

• Develop and manage infrastructure-as-code to maintain consistency and scalability across multiple environments.
• Automate deployment and update processes to streamline operations for stores, pods, and cabinets.
• Collaborate with engineering on resource optimization, support deployment troubleshooting, and work alongside the deployment team on new rollouts.
• Manage Kubernetes clusters and cloud resources, supporting system performance and scaling needs.
• Implement and refine monitoring tools to proactively address issues, enhancing reliability.
• Review and improve security practices, including access management and network configurations.

You Will Bring To The Table

After Six Months, Success Means

What's In It For You