Amazon Infrastructure Software Engineer Control & 

United States, California, San Francisco 

909357102

We are looking to hire an Infrastructure Software Engineer to join our growing software team. You will work closely with our experimental and theoretical physics teams to enable their work characterizing, calibrating, and operating novel quantum devices. The ideal candidate will be able to translate high-level science requirements into software infrastructure implementations (e.g. CDK scripts, web servers, database schemas) that are performant, scalable, and secure. This requires someone who (1) has a strong desire to work within a team of scientists and engineers, and (2) demonstrates ownership in initiating and driving projects to completion. As an Infrastructure Software Engineer, this role has a particular emphasis on the scalability and performance of the database and cloud infrastructure that supports the experimental physics efforts at the AWS Center for Quantum Computing.Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance
Export Control Requirement
Due to applicable export control laws and regulations, candidates must be either a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum, or be able to obtain a US export license. If you are unsure if you meet these requirements, please apply and Amazon will review your application for eligibility.Key job responsibilities
Responsibilities include some combination of the following:- Profile and optimize the performance of the database API and infrastructure to enable faster experiments and analysis routines.
- Propose and implement horizontal scaling strategies to enable high, multi-region availability of experimental data and scaling to larger quantum devices.
- Leverage infrastructure-as-code to continuously deploy improvements to our data & automation platforms.
- Lower the barrier to entry for software development by automating schema migrations and enabling seamless setup of dev environments.
- Implement best practices for observability and monitoring to enable rapid debugging and high service uptime.
- Empower others to actively contribute to the codebase through mentorship and documentation.A day in the life
The majority of your time will be spent on projects that extend the functional capabilities or performance of our internal research software stack. This requires working backwards from the needs of our science staff in the context of our larger experimental roadmap. You will translate science and software requirements into design proposals balancing implementation complexity against time-to-delivery. Once a design proposal has been reviewed and accepted, you’ll drive implementation and coordinate with internal stakeholders to ensure a smooth roll out. Because many high-level experimental goals have cross-cutting requirements, you’ll often work closely with other engineers or scientists or on the team.

- 2+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- 2+ years of Python software development experience
- Experience with full-stack web development (e.g. client-server architectures, databases)
- Experience working with and optimizing SQL databases
- Experience with using infrastructure-as-code to design and deploy cloud services
- Experience with the full software development lifecycle (planning, design, implementation, testing, deployment, and maintenance)

- Experience working with scientists in a research environment
- Experience with data modeling for scientific use cases
- Experience with AWS tools and services (e.g. CDK)
- Experience with Javascript and React
- Experience with REST and GraphQL
- Experience with common open-source software for data analysis and machine learning
- Experience in experimental physics or quantum computingPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.