Software Development Engineer , AWS & Ads Performance Benchmarks

Amazon is hiring a Software Development Engineer , AWS & Ads Performance Benchmarks in Bengaluru, India. Level rates it ; you can apply on Amazon.

Level's read on this job

Little AI ●○○○ is how Level rates this software engineer role: aI is not part of the work.
Tools and skills the posting cites include SageMaker, AI agents and AI automation.
Level classifies it as a mid-level role.
Level lists 20,000+ other open roles at Amazon.
The role was posted in the last few days.

AI in this role

sagemaker

ai-agentsai-automation

Amazon's Customer Experience and Business Trends (CXBT) organization is seeking a Software Development Engineer II (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 implement software solutions that address customer needs, balancing scalability, maintainability, performance, and security requirements across major portions of your team's systems.
- Contribute across the full software development lifecycle, including product definition, scoping, architecture, coding, testing, deployment, and ongoing operations.
- Write clean, well-documented, and maintainable code while actively participating in code reviews and providing constructive feedback to teammates at all levels.
- Identify operational improvements and resolve root causes of issues, ensuring your team's systems remain reliable and performant as they grow.
- Evaluate and integrate generative AI tools and AWS services where appropriate to improve productivity, solution quality, and the overall customer experience.

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.

About the team
Our team is focused on building and operating software systems that directly serve Amazon's customers at scale. We value collaboration, technical rigor, and a commitment to continuous improvement. Every engineer on the team has a voice in shaping our technical direction, and we invest in each other's growth through mentorship and knowledge sharing. We are excited about what lies ahead and are looking for engineers who want to help us build reliable, innovative solutions that will define how we serve customers for years to come.

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

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

How we rate this

Software Development Engineer , AWS & Ads Performance Benchmarks at Amazon rates 20 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Software Development Engineer , AWS & Ads Performance Benchmarks is an open job at Amazon.
Level rates this role AI Level 1 of 4: Little AI.
The role is based in IN, KA, Bengaluru.
The job was posted on November 3, 2026.
Seniority: mid.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsAI AutomationSageMaker

Also common in software engineer jobs at this level

Java C++Kubernetes TypeScript React Docker

Pay

Typical software engineer job: $167k

This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs

Questions you could be asked

How do you decide when an AI agent can act on its own versus asking for approval first?
Tell me about a workflow you automated with AI tools, end to end.
What are the limits of SageMaker that you've run into, and how did you work around them?

Adapt your resume

List these exact terms on your resume: AI agents, AI Automation, and SageMaker. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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