Sr. Software Dev Engineer, Alexa LLM Inference, Capacity, & Efficiency

Amazon.co; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Amazon Inc. is seeking a Senior Software Development Engineer to lead the India ALICE team focusing on Alexa LLMI infrastructure and capacity planning. You will architect scalable, multi-node inference services and mentor engineers while aligning with global Alexa and AGI programs.

You will drive design reviews, coding standards, and operational excellence for Tier-1 services, shaping the long-term strategy for cost-effective and reliable AI infrastructure.

Qualifications

• 6+ years of professional software development experience
• 5+ years in designing or leading architecture for large systems
• Experience contributing to architecture and design of new and current systems
• Bachelor's degree in computer science or equivalent

Responsibilities

• Serve as a technical leader for the ALICE India team, driving architecture decisions for the AlexaLLMInferenceService (LLMI) and related ALICE portfolio services
• Design and implement scalable, high-availability systems for LLM inference serving, including multi-node distributed inference and multi-tenancy capabilities
• Lead technical design reviews, set coding standards, and mentor junior SDEs on the team
• Make technical trade-offs between short-term team needs and long-term business needs, focusing on performance, cost, and reliability
• Collaborate with ALICE teams in Seattle and partner teams across Alexa and AGI on cross-cutting infrastructure programs
• Drive operational excellence for Tier-1 production services, including on-call ownership, incident response, and continuous improvement
• Influence the broader ALICE software architecture and contribute to org-wide technical strategy

Skills

Leadership

Architecture design

Mentoring juniors

Cross-team collaboration

Education

Bachelor's degree in computer science or equivalent

Tools

Java

C++

C#

Job description

Sr. Software Dev Engineer, Alexa LLM Inference, Capacity, & Efficiency

Are you passionate about building and operating the world's largest real-time LLM inference systems? Are you a technical leader who thrives in high-ambiguity environments and wants to drive architectural decisions that impact millions of Alexa customers daily? If so, the Alexa LLM Inference, Capacity, & Efficiency (ALICE) team is looking for a Senior Software Development Engineer to join our new India team and own critical components of Alexa's LLM inference infrastructure.

Alexa is shaping the future of AI voice-based personal assistants. At ALICE, we are passionate about infrastructure efficiency, cost optimization, and capacity management to enable amazing customer experiences at scale. You will be a founding technical leader of our India presence, setting the bar for engineering excellence and driving high-impact work on one of Amazon's most critical AI services.

Key job responsibilities

• Serve as a technical leader for the ALICE India team, driving architecture decisions for the AlexaLLMInferenceService (LLMI) and related ALICE portfolio services
• Design and implement scalable, high-availability systems for LLM inference serving, including multi-node distributed inference and multi-tenancy capabilities
• Lead technical design reviews, set coding standards, and mentor junior SDEs on the team
• Make technical trade-offs between short-term team needs and long-term business needs, with a focus on performance, cost, and reliability
• Collaborate with ALICE teams in Seattle and partner teams across Alexa and AGI on cross-cutting infrastructure programs
• Drive operational excellence for Tier-1 production services, including on-call ownership, incident response, and continuous improvement
• Influence the broader ALICE software architecture and contribute to org-wide technical strategy

A day in the life

As a Senior SDE, you will be part of the technical leadership for the India team, owning architecture decisions for LLMI components and contributing to ALICE's broader portfolio of infrastructure optimization products.

Basic Qualifications

• 6+ years of non-internship professional software development experience
• 5+ years of programming using a modern programming language such as Java, C++, or C#, including object-oriented design experience
• 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
• Experience building complex software systems that have been successfully delivered to customers

Preferred Qualifications

• 5+ 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

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Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.