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 Madrid, Spain. Level rates it ; you can apply on Amazon.

Level's read on this job

On Level's scale, this software engineer role is Works on AI ●●●○: the daily work is on AI products, without building the model.
Tools and skills the posting cites include AWS, Generative AI and LLMs.
Level classifies it as a mid-level role.
Level lists 20,000+ other open roles at Amazon.

AI in this role

Build scalable cloud-native distributed systems integrating generative AI and machine learning for customer engagement.

AWSGenerative AILLMs

software-engineeringcloud-architecturemicroservicesmachine-learningdistributed-systems

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

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

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 65 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.

●●●● 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 II, EU INTech - Prime and Marketing Tech is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in ES, M, Madrid.
The job was posted on September 7, 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

Software EngineeringCloud ArchitectureMicroservicesMachine learningDistributed SystemsAWSGenerative AILLMs

Also common in software engineer jobs at this level

Python Java Kubernetes AI agents TypeScript C++

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

Tell me about a project where software engineering was part of your work. What did you do?
Tell me about a project where cloud architecture was part of your work. What did you do?
Tell me about a project where microservices was part of your work. What did you do?
Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where distributed systems was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Software Engineering, Cloud Architecture, Microservices, Machine learning, and Distributed 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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