AmazonPosted 1w ago

Software Dev Engineer II, AWS Healthcare AI

Software Dev Engineer II, AWS Healthcare AI at Amazon scores 85 out of 100 on AI centrality, which makes it AI Level 4 of 4 (Builds AI) on this board. The level measures how much of the work is AI, not seniority.

US, WA, Seattlemidfull-time$144k-$194k

AI in this role

Design and develop scalable software systems and machine learning services for healthcare AI applications like HealthScribe.

awscomprehend-medicalhealthlakehealthscribe

software-engineeringcloud-computingmachine-learninghealthcare-ai

As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers’ businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon’s real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use.

The Healthcare AI organization in AWS is seeking a Software Development Engineer to build new v1 services and contribute to existing services such as HealthLake, Comprehend Medical, and HealthScribe. Our products leverage cloud computing and artificial intelligence to improve healthcare outcomes, reduce costs, and enhance care delivery. You will be part of a diverse team driven by the mission to improve people's lives through innovative technology solutions.

Key job responsibilities
- Design and develop scalable, efficient software systems for healthcare AI services
- Write high-quality, well-tested code for cloud-based healthcare applications
- Collaborate with product managers, applied scientists, and other engineers to implement product features
- Participate in code reviews and technical discussions
- Help maintain operational excellence and compliance with industry standards
- Work on data processing, analytics, and machine learning systems for healthcare applications
- Contribute to technical discussions and help drive continuous improvement

A day in the life
- Shape the future of AI for healthcare.
- Work on meaningful problems that improve lives globally.
- Access to industry leading technology and vast resources.
- Collaborate with world-class researchers and engineers.

About the team
ABOUT AWS:

Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred 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.

Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity and AmazeCon conferences, inspire us to never stop embracing our uniqueness.

Mentorship and 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.

Basic qualifications

- 3+ 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

Preferred qualifications

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually

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Skills and AI tools this role asks for

Software EngineeringCloud ComputingMachine LearningHealthcare AIAwsComprehend MedicalHealthlakeHealthscribe

Questions you could be asked

Tell me about a project where software engineering was part of your work. What did you do?
Tell me about a project where cloud computing was part of your work. What did you do?
Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where healthcare ai was part of your work. What did you do?
Walk me through how you've used Aws in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Software Engineering, Cloud Computing, Machine Learning, Healthcare AI, and Aws. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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