Software Development Manager, AWS Health AI

• Bachelor’s Degree in Computer Science or related field
• 5+ years professional experience in software development
• Computer Science fundamentals experience in object-oriented design, data structures, and algorithms
• Programming experience in, at least, one modern programming language such as C, C++, Java
• 2+ years of people leadership

The Health AI team is looking for an Engineering Manager (Software Development Manager) to join an ambitious new undertaking supporting Amazon HealthLake. You will be involved in the entire product development cycle including customer calls, planning, design, prototyping, launching, and managing operations. Launch a V1 product that makes it easy for Healthcare customers to use Machine Learning to get better outcomes. Work with a diverse team brought together and motivated by work that improves people’s lives, while being challenged on a daily basis.

Our ideal candidate thrives in ambiguity, builds collaborative relationships, moves fast, and is passionate about meaningful work. They will have the technical chops to design and build complex distributed systems that runs at AWS scale. They prefer working on small, focused teams, own their product, and love to pitch in anywhere to get the job done. They lead by example and the team naturally gravitate towards them because of their engineering expertise and decision-making ability. They can communicate effectively with a wide variety of audiences and are comfortable pitching new ideas.

Our team works together to provide work/life balance for all team members. We recognize that the circumstances of our team members vary, and we balance work across the team so that we’re all able to maintain high standards on behalf of our customers, while at the same time allowing for rich and happy personal lives.

In AWS, if you build it, you own it. AWS HealthLake is a highly available 24x7 worldwide service requiring dedicated support from our engineering teams. We pride ourselves on a high level of ownership in the work we do. This means we hold a high bar for test automation, verification processes, design and code reviews to ensure that our systems meet the exacting standards our customers demand. We maintain a regular on-call rotation across our teams with engineers and managers all taking part to resolve the inevitable issues that arise. We work hard to minimize getting paged in the middle of the night as we recognize that a well-rested employee is a productive employee.

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About Amazon HealthLake -

Amazon HealthLake is a HIPAA-eligible service that enables healthcare providers, health insurance companies, and pharmaceutical companies to store, transform, query, and analyze health data at petabyte scale.
Health data is frequently incomplete and inconsistent, and is often unstructured, with information contained in clinical notes, laboratory reports, insurance claims, medical images, recorded conversations, and time-series data (for example, heart ECG or brain EEG traces). This makes it difficult to take action on the data. Every health care provider, payer, and life sciences company needs to solve the problem of structuring the data to make better patient support decisions, design better clinical trials, and operate more efficiently.

Amazon HealthLake enables healthcare providers to store, transform, query, and analyze data in the AWS Cloud. Through integrated medical natural language processing (NLP), Amazon HealthLake users can analyze unstructured clinical text from diverse sources to gain medical insights. Amazon HealthLake performs much of the work of organizing, indexing, and structuring patient information, to provide a complete view of each patient’s medical history in a more secure, compliant, and auditable manner. It transforms unstructured data using specialized machine learning models, like natural language processing models, and provides powerful query and search capabilities.

To learn more about Amazon HealthLake, please refer to our announcement blog here: https://aws.amazon.com/about-aws/whats-new/2020/12/introducing-amazon-healthlake-to-make-sense-of-health-data/

About Us

Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.

Amazon is an Equal Opportunity Employer – Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age.

• Experience building complex software systems that have been successfully delivered to customers
• Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
• Ability to take a project from scoping requirements through actual launch of the project

Amazon is committed to a diverse and inclusive workforce. Amazon is an equal opportunity employer and does not discriminate on the basis of race, ethnicity, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us