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Software Development Manager, RBS Tech

Amazon is hiring a Software Development Manager, RBS Tech in Bengaluru, India. Level rates it ; you can apply on Amazon.

Level's read on this job

  • On Level's scale, this role is Builds AI ●●●●: the job is building AI systems.
  • Tools and skills the posting cites include LLM, Deep learning and Big Data.
  • Level classifies it as a lead role.
  • Level lists 20,000+ other open roles at Amazon.
  • The role was posted in the last few days.

AI in this role

Lead software development teams building retail automation platforms utilizing machine learning, GenAI, and large language models.

llmdeep-learningbig-data
Retail Business Services (RBS) supports Amazon’s Retail business growth WW through three core tasks. These are (a) Selection, where RBS sources, creates and enrich ASINs to drive GMS growth; (b) Defect Elimination: where RBS resolves inbound supply chain defects and develops root cause fixes to improve free cash flow and (c) supports operational process for WW Retail teams where there is an air gap in the tech stack. The tech team in RBS develops automation that leverages Machine/Deep Learning to scale execution of these high complex tasks that currently require human cognitive skills. Our solutions ensure that information in Amazon's catalog is complete, correct and, comprehensive enough to give Amazon customers a great shopping experience every time. We are building solutions to move towards retail automation and are using latest technology like LLM to solve business problems.

At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. The focus we have on our customers is why we are one of the world’s most beloved brands – customer obsession is part of our company DNA.
We are seeking a seasoned Software Development Manager who thrives on understanding the complexity of software systems, and brings a nuanced understanding of different aspects of technologies spanning machine learning, GenAI and big data processing. The candidate should be able to generalize platforms and services that can be applied to a wide variety of use cases enabling reuse and hence enabling faster roll outs to support business. You will work with technical and non-technical users, including engineers, product managers, business owners, program managers and operations teams, to design and implement key initiatives for automating large scale processes that drive Amazon’s retail engine. You need to be able to plan and coordinate complex discussions between our team, our dependencies, and our clients. Your strong management skills will be utilized to help deliver critical projects that meet various business and inter-org requirements. You are willing and able to get deep into the technical details, are proactive in removing roadblocks, pave the way for innovation, and can handle multiple competing priorities in a fast-paced environment.

The successful candidate is an experienced software development leader who understands and sets a high bar for all parts of the software development and deployment lifecycle, including design, development, documentation, testing and operations. You must possess strong verbal and written communication skills, be self-driven and deliver high quality results in a fast paced environment. You need to really enjoy working with their customers and peers, and help plan and deliver results that matter for the business.

Basic qualifications

- 7+ years of engineering experience
- 3+ years of engineering team management experience
- 8+ years of leading the definition and development of multi tier web services experience
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
- Experience partnering with product or program management teams

Preferred qualifications

- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
- Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers

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.

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How we rate this

Software Development Manager, RBS Tech at Amazon rates 80 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  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

LLMDeep learningBig Data

Questions you could be asked

  1. What's a project where you used LLM hands-on?
  2. Walk me through how you've used Deep learning in your day-to-day work.
  3. What are the limits of Big Data that you've run into, and how did you work around them?
  4. How would you decide a model or AI system is ready to ship?
  5. Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

  • List these exact terms on your resume: LLM, Deep learning, and Big Data. 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.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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