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Amazon's People eXperience and Technology (PXT) organization is redefining how over a million employees interact with HR systems, policies, and processes through conversational AI. As a Software Engineer on the Aza team, you will own the technical design and build for our generative AI assistant at a moment when the underlying technology is advancing faster than at any point in our industry's history.
Aza serves hundreds of thousands of Amazonians daily across dozens of HR-domain integrations, including compensation, benefits, time-off, hiring, and organizational management. We're expanding: bringing more PXT experiences into conversational workflows, building platform capabilities (skills, memory, personalization) that make the assistant smarter with every interaction, and driving the operational fundamentals (accuracy, latency, quality) that earn employee trust at scale. You will design, build, and ship production AI systems.
To fuel this mission, we are growing our Engineering team in Hyderabad (HYD13).
- 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
- 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
- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
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Job ID: 151710087
Skills:
Coding Standards, Testing, software programming language, source control management, design or architecture design patterns, Operational Excellence, continuous deployments, code reviews, software engineering best practices, software architectures, full software development life cycle
Skills:
Software Development, Design Patterns, programming, Reliability, Scaling
Skills:
Design Patterns, large-scale distributed systems, LLM technologies
Skills:
Penetration Testing, risk assessments, AI LLM security, CI CD security tooling, API pentesting