DescriptionAs part of the AWS 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.Software Development Engineers on the Science for Industry team build science-based features and products for customers in industry segments such as manufacturing, clean energy, healthcare and life sciences, media, telecom, and operations. You will work hand-in-hand with research and applied scientists to prototype and build functionality that supports one or multiple segments.Key job responsibilitiesA Software Dev Engineer II (SDE II) on the Science for Industry (SCIFI) team collaborates with industry teams to design and integrate science-embedded components that fit customer needs. Given requirements for a new feature, a SDE II will work with product managers, designers, and scientists to clarify, prototype, design, and implement new features. They communicate the value of a science feature, as well as the underlying risks.To accommodate the breadth of industry teams, a SDE II may work solo with the segment team or with other SDEs to deliver cutting-edge features. They will become the subject matter expert on the science that enables these features. In addition to being able to demonstrate the flexibility to develop software following the traditional software lifecycle, a SDE II prototypes and validates science like a lean startup. A SDE II will solve for competing constraints in deploying science features. This can range from data access to hardware constraints. They do this by stating assumptions clearly, applying the scientific method in their problem solving, and adjusting scope for the science work to de-risk project deliverables.For each phase of development, an SDE II will jump between languages. As a polyglot, they will learn the best practices for each language to deliver on time. An engineer will provide a consistent high bar for code produced by both scientists and engineers on the team. Even with novel science embedded, the features deployed will delight industry teams by maximizing value and minimizing maintenance cost. A SDE II will interact with industry teams to create and advocate operational excellence standards for science features. This potentially requires educating industry team engineers on how the science feature is constructed, tested, and operated. They will innovate ways to improve the collaboration between scientists and engineers, and how to test hypotheses and convert successful ones into product features. The SDE II understands the scientific mindset and process, enabling seamless communication between scientists and engineers on the team. They are able to help new teammates or interns learn specific team processes which have arisen to satisfy the needs of science-based features being developed for industrial settings.A day in the lifeA software development engineer on the SCIFI team will spend time learning about cutting-edge AI technology applicable to industry segments we work with, understanding customer problems and refining ideas with product managers, designing and running experiments with research and applied scientists, analyzing and communicating results, designing systems to scale scientific solutions, and implementing those features. Internal stakeholders are AWS Industry Products teams that work with leading external customers in their respective industries. The problems this role will aim to solve span the fields of computer vision, natural language, optimization, and machine learning.About the teamThe AWS Industry Products (AIP) organization is chartered to build industry-specific managed products by diving deep with industry innovation leaders to solve the disruptive digital challenges changing their industries. AIP covers 4 industry verticals: Clean Energy, Automotive, Healthcare/Life Sciences (HCLS), and Media/Entertainment/Telco/Sports (METS); and 3 horizontals: Sustainability, Manufacturing, and Operations. The Science for Industry (SCIFI) team in AIP brings value to industries by partnering with each segment to research and embed cutting edge science.Why AWSAmazon 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.Diverse ExperiencesAmazon 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.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Inclusive Team CultureHere 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 (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’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
Experience in machine learning, data mining, information retrieval, statistics or natural language processing
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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.