Amazon Sr SDM AWS Health AI 

United States, California 

882534152

The AWS Health AI team is looking for a stellar Sr. Software Development Manager to lead the Amazon HealthOmics engineering team. Health AI products make it easy for Healthcare and Life Sciences (HCLS) customers to leverage their data at Petabyte scale and use machine learning and health-specific generative AI capabilities to improve the health of individuals and populations, reduce the cost of care and advance the state of medical research. You will work with a diverse team brought together and motivated by work that improves people’s lives, while being challenged on a daily basis. In this role, you will lead the HealthOmics engineering team, an AWS service which enables customers to store, query, analyze, and generate insights from genomics and other biological data. This is an area that requires solving the hardest engineering challenges to enable data processing, multimodal analytics, and managed compute for running genomics and bioinformatics workflows at scale. Our services have to be scalable, efficient, highly secure, and extremely fault tolerant. Experience with data processing, analytics and/or AI/ML systems is preferred, but not required.In this role, you will function as a manager of managers, and provide leadership on complex technical issues. You will be responsible for delivering some of our most strategic technical projects, deliver large scalable systems, design new software systems at the cutting edge of HCLS and GenAI with a significant bottom-line impact on our business and competitive position.
Work/Life Balance
Mentorship & Career GrowthDiverse Experiences
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Work/Life BalanceMentorship and Career Growth
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- 10+ years of engineering experience
- 5+ years of engineering team management experience
- 10+ years of planning, designing, developing and delivering consumer software experience
- Experience partnering with product or program management teams
- Experience managing multiple concurrent programs, projects and development teams in an Agile environment