Amazon
Principal Solutions Architect, AWS Startups, Life Sciences
Amazon, San Francisco, California, United States, 94199
Principal Solutions Architect, AWS Startups, Life Sciences
Do you like startups? Are you passionate about leveraging the cutting edge of technology to help develop the next breakthroughs in the field of life science? Are you interested in cloud computing, generative AI, and disrupting innovation? Yes? We have a role you might find interesting. We are looking for technical builders who love the idea of working with early stage life sciences startups to help them as they grow. In this role, you’ll work directly with a variety of interesting life sciences customers (such as drug discovery, next gen sequencing, and diagnostics startups) and help them make the best (and sometimes the most pragmatic) technical decisions along the way. You’ll have a chance to build enduring relationships with these companies and establish yourself as a trusted advisor. As a member of the Life Sciences Startups team, you will work directly with customers to help them successfully leverage cutting-edge AWS technology to innovate in areas like genomics, drug discovery and development, laboratory R&D workflows, structural biology and bioinformatics, medical diagnostics, and more. Key job responsibilities: Help a diverse range of life sciences startups to adopt the right architecture at each part of their lifecycle Support startups in architecting scalable, reliable and secure solutions Support adoption of a broad range of AWS services to deliver business value and accelerate growth Support the evolution and roadmap of the AWS platform and services, connecting our engineering teams with our customers for feedback Establish and build technical relationships within the startup ecosystem, including accelerators, incubators and VCs Develop startup specific technical content, such as blog posts, sample code and solutions, to assist customers solve technical problems and reduce time-to-market - 10+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience - Experience developing technology solutions and evangelising end-to-end technology roadmaps that guide IT transformations toward cloud computing - Experience communicating across technical and non-technical audiences and at C-level, including training, workshops, publications - Knowledge of distributed systems design and implementation or equivalent - Knowledge of large scale automation and workflow management or equivalent - Knowledge of database design and implementation or equivalent - Knowledge of presentations and whiteboarding skills with a high degree of comfort speaking with internal and external executives, IT management, and developers - Experience architecting, migrating, transforming or modernizing customer requirements to the cloud Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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Do you like startups? Are you passionate about leveraging the cutting edge of technology to help develop the next breakthroughs in the field of life science? Are you interested in cloud computing, generative AI, and disrupting innovation? Yes? We have a role you might find interesting. We are looking for technical builders who love the idea of working with early stage life sciences startups to help them as they grow. In this role, you’ll work directly with a variety of interesting life sciences customers (such as drug discovery, next gen sequencing, and diagnostics startups) and help them make the best (and sometimes the most pragmatic) technical decisions along the way. You’ll have a chance to build enduring relationships with these companies and establish yourself as a trusted advisor. As a member of the Life Sciences Startups team, you will work directly with customers to help them successfully leverage cutting-edge AWS technology to innovate in areas like genomics, drug discovery and development, laboratory R&D workflows, structural biology and bioinformatics, medical diagnostics, and more. Key job responsibilities: Help a diverse range of life sciences startups to adopt the right architecture at each part of their lifecycle Support startups in architecting scalable, reliable and secure solutions Support adoption of a broad range of AWS services to deliver business value and accelerate growth Support the evolution and roadmap of the AWS platform and services, connecting our engineering teams with our customers for feedback Establish and build technical relationships within the startup ecosystem, including accelerators, incubators and VCs Develop startup specific technical content, such as blog posts, sample code and solutions, to assist customers solve technical problems and reduce time-to-market - 10+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience - Experience developing technology solutions and evangelising end-to-end technology roadmaps that guide IT transformations toward cloud computing - Experience communicating across technical and non-technical audiences and at C-level, including training, workshops, publications - Knowledge of distributed systems design and implementation or equivalent - Knowledge of large scale automation and workflow management or equivalent - Knowledge of database design and implementation or equivalent - Knowledge of presentations and whiteboarding skills with a high degree of comfort speaking with internal and external executives, IT management, and developers - Experience architecting, migrating, transforming or modernizing customer requirements to the cloud Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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