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Software Development Engineer, Customer Experience and Business Trends

Amazon is hiring a Software Development Engineer, Customer Experience and Business Trends in Bengaluru, India. Level rates it ; you can apply on Amazon.

Level's read on this job

  • Works on AI ●●●○ is how Level rates this software engineer role: the daily work is on AI products, without building the model.
  • The posting mentions Python, AWS and LLM among its tools and skills.
  • Level classes it as a mid-level role.
  • Amazon has 20,000+ other open roles on Level.

AI in this role

Build scalable data collection and analysis platforms utilizing software engineering principles and LLM-driven extraction services.

PythonAWSLLM
computer-visionsoftware-developmentmachine-learningdata-collectionscalable-systemsapi-development
Are you customer-obsessed, data oriented, and confident in proposing opportunities to improve our customers’ experience across different Amazon businesses? Customer Experience and Business Trends (CXBT) is looking for a scale-focused and customer-obsessed Software Development Engineer.
As an SDE, you will be part of a team that adds new capabilities to our customers through core engineering and AI/ML methodologies. The solutions heavily leverage technology to challenge conventional wisdom with hard data. Our SDEs solve complex problems and get to see the impact of their work first-hand.
In this role you will have the opportunity to exercise your creativity and explore ideas to simulate and quantify any aspect of the customer experience.

Key job responsibilities
- Design, develop, and maintain scalable software solutions for data collection and analysis platforms
- Build and optimize automated data collection frameworks across different surfaces (web, mobile)
- Collaborate with cross-functional teams to understand requirements and implement efficient solutions
- Write high-quality, maintainable code while following best practices and design patterns
- Participate in code reviews and contribute to technical documentation
- Debug production issues and implement performance improvements
- Work with ML technologies and LLM driven extraction services to enhance data processing capabilities
- Contribute to architecture decisions and technical strategy
- Mentor junior developers and participate in team's agile development process

A day in the life
You'll work closely with Product Managers, Data Scientists, and other engineers to build tools that enable large-scale data collection and analysis. You'll tackle challenges ranging from Automated Data Collection framework development to building new features for our self-service tools, while ensuring high performance and reliability.

About the team
Customer Experience and Business Trends (CXBT) is an organization made up of a diverse suite of functions dedicated to deeply understanding and improving customer experience, globally. We are a team of builders that develop products, services, ideas, and various ways of leveraging data to influence product and service offerings – for almost every business at Amazon – for every customer (e.g., consumers, developers, sellers/brands, employees, investors, streamers, gamers).

Our approach is based on determining the customer need, along with problem solving, and we work backwards from there. We use technical and non-technical approaches and stay aware of industry and business trends. We are a global team, made up of a diverse set of profiles, skills, and backgrounds – including: Product Managers, Software Developers, Computer Vision experts, Solutions Architects, Data Scientists, Business Intelligence Engineers, Business Analysts, Risk Managers, and more.

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
- Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations

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 building complex software systems that have been successfully delivered to customers
- Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques

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, Customer Experience and Business Trends at Amazon rates 70 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ 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.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Computer visionSoftware DevelopmentMachine learningData CollectionScalable SystemsAPI DevelopmentPythonAWS

Also common in software engineer jobs at this level

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

  1. Walk me through a computer vision problem you solved, from raw data to a deployed model.
  2. Tell me about a project where software development was part of your work. What did you do?
  3. Tell me about a project where machine learning was part of your work. What did you do?
  4. Tell me about a project where data collection was part of your work. What did you do?
  5. Tell me about a project where scalable systems was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Computer vision, Software Development, Machine learning, Data Collection, and Scalable Systems. 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.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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