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Amazon Software Development Engineer Jobs 2026

Alexa Devices (Sales & Marketing Tech) | Maharashtra

Posted: Recently
Maharashtra, India (On-Site)
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Experience
3+ Years
Qualification
Bachelor’s Degree
Salary
As per standards
Job ID
10403429

Job Overview

Amazon is hiring a Software Development Engineer for its Alexa Devices team under Sales & Marketing in Maharashtra, India.

This role focuses on building next-generation Alexa experiences by developing scalable, low-latency systems powered by advanced technologies, including large language models (LLMs). As an SDE, you will work on designing and developing high-performance services that integrate with cutting-edge AI systems.

💡 Why this role?

This opportunity is ideal for experienced software engineers passionate about backend systems, AI-driven products, and large-scale distributed architectures. You will collaborate with cross-functional teams to deliver innovative solutions that enhance Alexa’s capabilities.

Roles & Responsibilities

  • Develop and maintain highly scalable backend systems supporting Alexa's next-generation and LLM-based experiences.
  • Collaborate with cross-functional product and engineering teams to design system architecture and implement technical solutions.
  • Prototype new technologies, evaluate technical feasibility, and perform deep dives into system architecture for performance optimization.
  • Work in Agile/Scrum environments to deliver high-quality, reliable, scalable, and efficient software applications.
  • Mentor junior team members on design patterns, software development best practices, and innovative problem-solving approaches.

Eligibility Criteria

Education

Bachelor’s Degree in Computer Science or an equivalent technical discipline.

Experience

3+ years of professional software development experience, including 2+ years working on system design and architecture.

Technical & Core Competence

Proficiency in at least one modern programming language (Java, C++, Python, etc.). Deep experience in system design, distributed systems, backend development, and building large-scale applications. Familiarity with AI/ML or LLM-based systems is highly preferred.

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