Amazon's Customer Experience and Business Trends (CXBT) organization is seeking a Software Development Engineer (SDE) to shape the future of Amazon Web Services (AWS) customer experience by improving service performance. Do you want to help improve the customer experience and performance of AWS core infrastructure, including Storage and Networking? We're seeking a performance-obsessed SDE to enable Amazon Benchmarking to deliver industry-leading performance insights and improvements across our entire service portfolio.

This role is tasked with building a highly available data pipeline that incorporates a complex multi-cloud framework to orchestrate, run, and analyze performance benchmarking workloads. This infrastructure is used to measure AWS service performance, conducting comprehensive analyses that drive critical business decisions at the CEO/SVP level and help guide teams in delivering the best cloud services in the industry. The primary deliverables are the infrastructure and automation required to accelerate, simplify, and make efficient deep-dive performance dashboards that identify recommendations to influence product direction across multiple AWS services.

This role requires exceptional software development skills and a passion for distributed system performance and statistics. Experience or strong interest in building agentic AI systems, including autonomous troubleshooting agents, LLM-driven infrastructure provisioning, and intelligent automation for operational workflows would be ideal. The candidate will excel at simplifying complex systems for use across multiple stakeholders with diverse backgrounds. The ideal candidate has knowledge of containers, AWS services, and building Python libraries. This role will build tools to investigate performance bottlenecks while maintaining the highest standards of technical rigor and objectivity.

Key job responsibilities

• Design and build infrastructure and automation to deliver reliable data pipelines that meet executive-level quality standards and consumption requirements
• Own key features of our automation lifecycle from scoping, and execution.
• Work with stakeholders across the technical benchmarking team to define and build features to measure customer-critical performance metrics
• Own key components of our custom built multi-cloud orchestration framework.
• Collaborate with multiple teams to continuously raise the bar on AWS service performance
• Design and develop agentic AI systems for automated anomaly detection, root-cause analysis, and remediation of data pipeline failures
• Build and productionize agentic benchmark infrastructure creation systems that enable automated dashboard provisioning with minimal human intervention
• Develop AI-driven troubleshooting agents that can autonomously diagnose performance regressions, data quality issues, and pipeline health degradation

A day in the life

You will be working with a unique team building that works across multiple services and multiple clouds. There are few existing internal tools that exist today, so you will have the independence to chose different technical stacks. You will work directly with stakeholders to scope and build features that enable deep-dive performance investigations of AWS services. Your great system design and implementation skills will be exercised on a daily basis. You should be comfortable collaborating in a fast-paced environment with challenging ambiguities, and contributing to innovative solutions, while demonstrating leadership. You should also be comfortable collaborating regularly with a diverse team of varying technical capabilities and build solutions to measure the performance of a range of AWS services from EC2 to Trainium2, Sagemaker studio, and AI agents. You are a true owner and will operate at all levels, diving deep into the details while providing strategic inputs for the product.

Basic 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
• Experience programming with at least one software programming language

Preferred qualifications

• 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
• Experience developing, deploying and managing AI products at scale
• Experience building large-scale machine learning and AI solutions at Internet scale
• Experience building agentic AI/LLM-based automation systems (e.g., autonomous agents, tool-using LLMs, ReAct patterns)

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