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Senior AWS Infrastructure Engineer Who Saves Lives
2 meses atrás
Help build cutting-edge technology that saves lives
Areti Health is a venture-funded Silicon Valley startup that dramatically boosts clinical trial patient recruitment using generative AI . Our technology allows pharmaceutical, biotech, and medical device companies to bring their therapies to patients faster thereby saving lives. We achieve an unheard-of conversion rate of 63%, a 10x improvement over human coordinators. Our assistant answers prospective patient questions based on the clinical trial documentation, schedules appointments, collects patient information, and runs pre-qualification questionnaires. Our customers include a $5B clinical research organization (CRO) and the world's second largest clinical research site network (the size of a top-5 US hospital chain). We are also an official partner of CRIO, a top-3 clinical trial management system (CTMS).
You will work on a small team closely with the company founder (with a solid healthcare technology track record, a Y Combinator founder, and a Stanford PhD) on scaling the product to thousands of clinical trials and will have the following responsibilities:
- Maintain and evolve our infrastructure as code (IaC) using AWS CDK.
- Maintain and evolve our deployment pipelines and system actions using Github Actions.
- Own environment bootstrapping automation for new customer deployments.
- Take initiatives to improve system reliability, security, monitoring, alerting, metric collection, and dashboarding.
- Facilitate compliance accreditations (HIPAA, SOC 2, HITRUST) in a team effort with the help of an outside vendor
- Develop and maintain resilience and security practices, such as disaster recovery and vulnerability scanning.
In addition, you will have an option to take part in backend development. Our backend developers work on generative AI on a daily basis (no prior genAI experience is expected), build reliable, simple, and efficient python services, integrate with clinical trial management systems, and leave the code better than they find it.
And just to be clear: We do NOT train deep learning AI models.
Requirements
Important: You MUST have a computer science or similar degree AND have worked exclusively as a cloud infrastructure or software engineer for your entire career. Unfortunately, we will NOT be able to give consideration to system administrators, IT support personnel, data engineers, ML engineers, data scientists, professors, or any other alternative backgrounds at this stage of our company.
- Be excited about our mission of revolutionizing clinical trials and getting much needed therapy to patients faster using generative AI.
- Solid AWS infrastructure experience supporting commercial products for at least 5 years.
- Solid infrastructure as code (IaC) experience. AWS CDK experience is a plus.
- Solid CICD experience. Github Actions experience is a plus.
- BS in Computer Science or similar.
- Be a self-starter, not a ticket cruncher.
- Be curious, practical, and result-oriented.
- Be analytical with attention to detail.
- Strong Python product development experience is a big plus.
- Experience with large language models in production, where you personally wrote prompts and used GenAI tooling, such as prompting or guardrail libraries, is a plus
