Day to day in this role, you'll:
- Build and deploy production software using Kubernetes, Docker, Terraform, and AWS
- Design and implement hybrid computing architectures to efficiently and securely connect partners to our QPUs. These are the core elements of a cloud platform replicated to sites around the world
- Integrate closely with members of the quantum engineering and control systems teams to support and advise
- Shepherd and foster a culture of continuous improvement across the company, guiding software and quantum engineering teams to be more efficient and precise in their work. Your expertise speeds our quantum research and makes others’ lives more productive and rewarding
- Create and iterate on novel products that delight our customers at Fermilab, Oak Ridge National Laboratory (ORNL), the US Department of Energy (DoE), Amazon Braket, Microsoft Azure Quantum, and more.
About You
- You relish a sense of ownership and agency over your work, and you learn quickly
- You communicate clearly, effectively, proactively, and kindly
- You remain an optimist in the face of grand challenges
- You have experience building mission-critical, reliable, and performant systems
- On tech debt - yep, we have it too - you strike a pragmatic balance among renovation, consolidation, and new features. You leave systems better than you found them
- You rigorously test and document software intended for production use, follow common language conventions and well-known patterns, and rely heavily on automation for testing and deployment. You prize the quality and stability of the systems you build
- You approach your work with a sense of urgency appropriate to the impact on its stakeholders
- You enjoy leading a high-level architecture discussion one moment, and then translating that discussion into reliable production code the next.
Key Requirements
- Discipline, rigor, and clarity in your code, design, and communication. You say what you plan to do, and then you do it as you say
- You’ve gone deep on a technical subject in the past and delivered it successfully
- Fluency in Kubernetes or similar. You’ve built and owned Kubernetes clusters in production and you’ve seen them fail
- Deep experience with configuration automation (Terraform, Chef, Ansible, Puppet, Salt, et al) and a compulsion to use it well
- Domain expertise in AWS components & architecture
- 5+ years of working in production infrastructure in two or more environments (e.g. companies, cloud provider teams)
Nice to Have
- Experience building and maintaining SDKs
- Experience architecting, building, and deploying microservice architectures and with Kubernetes
- Academic background in Computer Science, Electrical Engineering, or Physics
- Knowledge of quantum computing and applications.
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