Software Development Engineer, Data Integration AI and Platform Excellence; APEX; AWS

Software Development Engineer, Data Integration AI and Platform Excellence (APEX)

Job  |  Services LLC

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.

• Design, develop, and implement AI/ML‑powered products for data integration workflows that simplify complexity in data processing.
• Build and own critical infrastructure powering Amazon's next‑generation AI capabilities.
• Collaborate with data scientists and ML experts 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.

• 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.
• Team:
  Join a collaborative environment focused on solving complex, meaningful challenges.

AWS Utility Computing (UC) provides product innovations ‑ from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions.

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.

Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the 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 Balance:
We 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 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 (CORE) and Amaze Con conferences, inspire us to never stop embracing our uniqueness.

Mentorship & 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.

• 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.
• Experience with AI/ML technologies.

• 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations…