Software Development Engineer, Data Analytics Integration AI and Platform Excellence

Job summary

DESCRIPTION Join Amazon's Data Integration organization and help shape the future of AI-driven data integration! We're seeking a talented Software Engineer to join our AI and Platform Excellence (APEX) team. APEX is at the forefront of leveraging AI/ML to revolutionize data integration workflows, making them simpler, and more efficient.

Benefits

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,
• 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 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,

Responsibilities

• As a member of APEX, you'll build core algorithms that harness the power of AI and machine learning to simplify the authoring, troubleshooting, upgrading, and optimization of data integration workflows.
• Design, develop, and implement AI/ML-powered products for data integration workflows which simplifies complexity in data processing.
• Build and own critical infrastructure powering Amazon's next-generation AI capabilities
• Collaborate with data scientists and ML experts to s to transform innovative ideas into production systems
• Optimize existing algorithms and systems for performance, scalability, and reliability
• Contribute to the full software development lifecycle, from conception to production deployment
• Mentor junior engineers and promote best practices in software development and AI implementation
• A day in the life
• Impact: Your work will directly influence how AI capabilities are developed and deployed at Amazon
• Innovation: Work at the intersection of advanced AI research and enterprise-scale engineering
• Growth: Learn from experts while working with the latest in AI technology
• Purpose: Help shape responsible AI development practices and sustainable computing

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