Backend/Cloud Architect

About us
Artificial was hatched from the minds of two Playground.Global founders with the aspiration to meld the best of both robotics and the core technologies at the heart of the Internet.  We believe this combination of hardware and software will accelerate productivity in life sciences because of the critical need for rapid innovation, flexible automation, dynamic scheduling, and a clear opportunity for more robots and artificial intelligence.

Our team values the positive purpose of our work and are motivated by our love of technology and the impact we see as possible within the intersection of robotics and life science.  We measure our success through the day-to-day journey of consistent high-quality execution and progress towards our vision to deliver products that delight our customers and help improve the world.

Our founders bring decades of experience in creating powerful teams, platforms, and products for technology in general and cyber-physical systems and robots in particular.  They have served in senior leadership or founding roles at KUKA Robotics, Microsoft, and Udacity.

In addition to the opportunity to work on a wide variety of worthy technical and business challenges, we offer competitive compensation, stock options, a generous health plan, a 401k plan, flexible vacation, dog-friendly offices, and robots working to improve all of our lives. Our teams are located in Palo Alto and Austin.  The Palo Alto site is a short walk from Caltrain, has an excellent on-site kitchen and lots of roaming robots.  The Austin team is small, but growing and the site selection is in progress. 

About the role

Backend/Cloud Architect

As a cloud architect at Artificial, you will lead the technical design and implementation of our core software.  You will leverage modern software practices and technologies to help create products and platforms that set a foundation for advanced Robotics and Automation in the life sciences problem domain.  You will create a unique system architecture that leverages the best of the Internet in terms of code modularity (dockers, stateless microservices, K8s) while also artfully remaining cloud-agnostic.  You will help design mechanisms such that our core applications can both run natively in the cloud, but also deploy to edge and embedded devices.  The services and architecture you help create, both lay the foundation for improving the rate of drug discovery and synthetic biology by providing better born in the cloud building blocks, but also serve as the cornerstone upon which we will apply traditional and emerging aspects of artificial intelligence to optimize lab automation.  In addition to your technical contributions, you will help build and lead a small high-functioning team which you will coach, mentor and develop. 

About you:
  • You mentor and coach your technical team members and have a track record of leading high-functioning teams to realize sophisticated systems
  • You deliver well-designed architectures
  • You are passionate about working with physical devices in the real world like Robots
  • You are comfortable defining goals and roadmaps for execution in an ambiguous environment 
  • You have well-earned opinions on the benefits and costs of bare-metal, virtual, containerized, and serverless applications

You have:
  • Experience in system architecture and an APIs-first view on modular service architectures
  • Experience designing stateless microservices with well designed APIs
  • Solid working knowledge of REST, gRPC, proto and similar mechanisms is ideal
  • Deployed and managed infrastructure in AWS, GCP, and/or Azure, using tools like Terraform, Docker, K8s, Helm, Cloudformation, and Ansible
  • Built multiple production environments and handled authentication, user management, and security best practices
  • Experience with low-level web frameworks, proxies, and networking fundamentals
  • Very comfortable developing in a Linux environment
  • Solid working knowledge of Python and/or C++ is ideal
  • A degree or study in software engineering or computer science is preferred, but equivalent experience is welcome

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