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$144k–$194k/yr
Full-time
bachelor degree
Health Insurance, Medical Insurance, Dental Insurance, Vision Insurance, Prescription Insurance, Basic Life & AD&D Insurance
Posted 56d ago
~40 hrs/week
Responsibilities
Design and deploy scalable software components and AI-powered learning tools using generative AI and the Core Agentic AI framework. Collaborate with cross-functional teams to build an ecosystem for professional development and drive operational excellence through code reviews and system optimization.
Requirements
Requires a Bachelor's degree in Computer Science or a related field and at least 3 years of professional software development experience. Candidates must have experience in system architecture, object-oriented design, and proficiency in languages such as Java, C#, C++, or Perl.
Full job description
Are you passionate about revolutionizing how Amazonians build rewarding careers? Join our team as we build leading-edge AI-powered learning solutions that transform professional development at scale. We're creating an ecosystem that empowers human judgment, action, and interaction to make learning and growth seamless within Amazon's unique culture.
As a Software Development Engineer II, you'll work at the forefront of generative AI technology, building innovative content creation tools that operate at the S-team level. You'll architect and develop components for a revolutionary platform that records and enhances the learning experience of Amazon employees, leveraging advanced technologies including the Core Agentic AI framework. This role offers the opportunity to collaborate with education scientists, data engineers, and learning experts while solving complex problems in the AI learning space.
Key job responsibilities - Design, develop, test, and deploy scalable software components for the talent development ecosystem platform, ensuring high-quality code throughout the full software development lifecycle - Build and optimize AI-based learning content creation tools using generative AI technologies and the Core Agentic AI framework, working directly with S-team level initiatives - Collaborate effectively with cross-functional teams including data engineers, data scientists, learning scientists, and education domain experts to deliver integrated solutions - Lead technical problem-solving initiatives by bringing clarity to complex challenges and designing simple, elegant solutions for distributed systems in ambiguous environments - Drive operational excellence by actively participating in code reviews, providing meaningful feedback to team members, and ensuring root cause analysis and permanent fixes for system issues
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 - 1+ years of software development engineer or related occupational experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - 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
Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one.
Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world.
Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind.
You'll also hear us say that at Amazon, it's always "Day 1." What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.
Offices: 2127 7th Ave., Seattle, WA 98109, US · 12900 Worldgate Dr, Herndon, VA 20170, US · 7200 Discovery Dr, Chattanooga, TN 37416, US · 1100 Enterprise Way, Sunnyvale, CA 94089, US · 2010 Broening Hwy, Baltimore, MD 21224, US