Who we Are:

We develop a leading-edge fulfillment technology that gets the right product to the right place at the right time. In today’s age of immediacy, where customers expect to receive their order right away, retailers must take a completely new approach to compete. By leveraging AI, robotics and machine learning, we transform how businesses fulfill orders and keep promises to their customers.

We are on a mission to build the world’s first fully automated flexible warehouse, and we are growing! We design, develop and deploy advanced robotics systems at warehouses, distribution centers and fulfillment centers. We're looking for an experienced, motivated self-starter to join our team and help us architect, integrate, and deploy our newest cloud-based warehouse automation product. You'll succeed here if you're an infinitely resourceful creative thinker with superior technical and leadership skills. You'll love it here if you have a passion for cloud-based systems and robotics, and thrive in high performing teams.

Role:

• Drive design and implementation of a scalable and flexible SaaS deployment infrastructure for cloud environments.

• Configure and manage cloud resources for a microservice-oriented architecture using Kubernetes, including ingress control, service definition and discovery, data storage and integrity, and fail-over

• Adopt frameworks, security mechanisms, and infrastructure that support both developer and customer-facing continuous integration and rapid deployments

• Work with Cloud DevOps team to manage active deployments

Qualifications:

• Expertise in container, orchestration, and deployment systems such as Docker, Kubernetes, and Terraform

• Expertise in configuring, administering, and monitoring cloud compute resources (network, compute, load balancing, monitoring, etc) for SaaS deployments in one or more major cloud providers (GCP, Azure, and/or AWS)

• Expertise in standing up CI/CD pipelines for cloud or hybrid cloud/on-prem deployments including tools like Jenkins, Ansible, etc

• Familiarity with common cloud security approaches.

Additional experience:

• Experience with web-based stack (e.g. Spring, Python, Django, PostgreSQL, Elasticsearch, Javascript, etc)

• Experience with back-end development tools including REST APIs, JSON, Spring boot, etc.

• Experience with authentication methods and protocols such as OAuth, SAML, and Active Directory 

• Experience with role-based access controls