What are the responsibilities and job description for the Software Development Engineer, Hiring Intelligence, Science & Experimentation (HIRISE) position at Amazon?
DESCRIPTION
The Hiring Intelligence, Science & Experimentation (HIRISE) team is looking for a Software Engineer to help us define and build the future of high-volume hiring analytics. You will play a critical role in the design and implementation of a strategic product for Amazon and help connect millions of applicants with professional opportunities at Amazon. You will be surrounded by people who are passionate about new technology trends, and believe that state-of-the-art product is critical to customer success.
This role is in a new team that is focused on building Generative AI products. The role offers a chance to build and launch new GenAI initiatives for the ground up to be used widely, learn the latest in building with GenAI and Machine Learning (ML) technology. You will have the opportunity work closely with product, engineering, science, and design. AI/ML background is preferred but not required.
Key job responsibilities
- Lead development and launch of some of the core product features to help with processing analytics at scale.
- Have significant influence on our overall strategy by helping define these product features.
- Drive the system architecture
- Spearhead the best practices that enable a quality product.
A day in the life
You are perfect for this role if you...
- Possess a demonstrated track record of success in delivering new features and products.
- Commit to team work and possess strong communication skills, with both business and technical partners.
- Create reliable, scalable, and high-performance products requires exceptional technical expertise
- Have a sound understanding of the fundamentals of Computer Science, and practical experience building large-scale distributed systems.
- Thrive and succeed in delivering high quality technology products/services in a hyper-growth environment where priorities shift fast.
About the team
Within ITA, the Hiring Intelligence, Science & Experimentation (HIRISE) team transforms data and insights into action with interactive, personalized products and online assessments that drive Amazon’s hiring of top-tier candidates. Rooted in simplicity, scalability, and sustainability, HIRISE is a central software development service for ITA, striving to build an integrated intelligence hub that serves stakeholders worldwide. Our products enable recruiting partners to make impactful, strategic decisions by fairly evaluating candidates, while also uncovering future trends in hiring data. Working at the intersection of data insights and advanced candidate evaluation, you will use speed and experimentation to create flexible solutions that adapt to rapid business growth and produce 10x value for our customers.
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
- Generative AI (GenAI)
- Large Language Models (LLMs)
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.
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.
