Level

Amazon

Software Development Engineer II, EU INTech - Prime and Marketing Tech

Amazon is hiring a Software Development Engineer II, EU INTech - Prime and Marketing Tech in Bengaluru, India. Level rates it ; you can apply on Level.

AI in this role

Design and implement cloud-native distributed systems leveraging generative AI and machine learning for personalized customer engagement.

awsgenaillm
distributed-systemsmicroservicesmachine-learningsoftware-engineering
Are you ready to shape how millions of EU customers discover and engage with Prime — both on Amazon and across the digital landscape? EU Prime Marketing & Incentives Tech is seeking a Software Development Engineer II to build scalable and robust systems at the intersection of generative AI, personalization, and large-scale distributed architecture. You'll leverage GenAI and ML technologies to power Prime customer engagement across marketing channels — from social media platforms to emerging digital channels.

This role offers the unique opportunity to start with EU-scale challenges while building solutions for worldwide impact. You'll architect cloud-native systems on AWS that drive how Prime reaches customers wherever they are, combining serverless, event-driven, and microservices patterns with AI-driven innovation. Bring your ownership mindset and passion for end-to-end delivery as you translate ML models into production systems that enhance customer experiences at massive scale.

Key job responsibilities
- Design and implement scalable, cloud-native distributed systems using serverless architectures, event-driven patterns, and microservices on AWS to support EU Prime customer engagement across marketing channels
- Collaborate with data scientists and product teams to integrate GenAI/LLM technologies and ML pipelines into production systems that drive personalized customer experiences at scale
- Participate actively in the full software development lifecycle including code reviews, architecture reviews, testing, deployment, and operational excellence activities while mentoring team members on high-quality engineering practices
- Drive technical decisions and design solutions for ambiguous, cross-functional initiatives that balance new feature development with system reliability, performance optimization, and maintainability
- Identify and resolve root causes of operational issues while continuously improving team operations, documentation, and processes to reduce single-threaded dependencies and build team resilience

A day in the life
You'll design and ship features that leverage GenAI-powered services and modern AWS architectures, collaborating closely with scientists to translate ML models into reliable production systems. Your day balances building innovative capabilities with maintaining operational excellence — participating in architecture and code reviews, using AI-assisted development tools to accelerate delivery, and ensuring systems perform reliably at scale. You'll work across teams to shape technical direction while staying current with emerging technologies like GenAI and ML to solve real customer problems.

About the team
EU Prime Marketing & Incentives Tech builds the technology powering Prime customer engagement across marketing channels. Our scope spans personalized onsite experiences to large-scale marketing integrations — including social media platforms, YouTube, and emerging digital channels — driving Prime acquisition, retention, and engagement for millions of EU customers. We're a collaborative team that values deep technical ownership and continuous learning, embracing GenAI and modern engineering practices to solve complex challenges at the intersection of marketing technology, audience targeting, and multi-channel content delivery. Every engineer has autonomy to shape how Prime reaches customers wherever they are — on Amazon and beyond.

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
- 3+ years of Video Games Industry (supporting title Development, Release, or Live Ops) 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 II, EU INTech - Prime and Marketing Tech at Amazon rates 75 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. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Distributed SystemsMicroservicesMachine learningSoftware EngineeringAWSGenaiLLM

Questions you could be asked

  1. Tell me about a project where distributed systems was part of your work. What did you do?
  2. Tell me about a project where microservices 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 software engineering was part of your work. What did you do?
  5. Walk me through how you've used AWS in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Distributed Systems, Microservices, Machine learning, Software Engineering, and AWS. 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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