Software Development Engineer II, Amazon Business Search

Every day, millions of organizations — from businesses to public institutions — rely on Amazon Business for the procurement of the products they need to fulfil their mission.

The Amazon Business Search team sits at the heart of that experience. We’re redefining how over 8 million B2B customers search, navigate, and discover products.

As a Software Engineer in this team, you will design, build and maintain innovative Search features such as intelligent ranking algorithms, autocomplete, filters, and many more. You will work closely with Applied Scientists to bring LLM and agentic capabilities into Search such as a B2B-specific conversational experience.

This is a unique opportunity to push the boundaries of search technology, improve relevance for millions of customers worldwide, and help shape the future of B2B commerce.

Key job responsibilities

As a Software Development Engineer, you will

• Own the full software development lifecycle, including design, implementation, testing, experimentation, and maintenance, ensuring high reliability and measurable customer impact.
• Analyze success of new Search features through data-driven analysis of A/B experiments
• Build and optimize data and model-serving pipelines to support high-throughput, low-latency applications across distributed systems.
• Collaborate across Product, Software, and Science teams to shape best customer experience and deliver complex projects at scale.
• Participate in the team's and organization's activities such organization plannings, design reviews, knowledge sharing, conferences, etc.
• Mentor and guide junior peers on Software and AI technologies and best practices.

About the team

We are a two-pizza team of software engineers based in Madrid, building the next generation of Amazon Business Search. Our team is international and inclusive, bringing together diverse perspectives to solve complex technical challenges.

We value fast learners, problem solvers, and innovators who take ownership from concept to delivery. We work backwards from the customer, combining strong business awareness with deep technical expertise. Our culture is agile and experimentation-driven — we move quickly, measure impact, and continuously improve to deliver world-class search experiences for millions of B2B customers.

We regularly spend quality time outside of work to build interpersonal relationships such as dinners and events. We work hard, have fun, and make history!

Basic Qualifications

• Bachelor's degree in computer science or equivalent
• Experience (non-internship) in professional software development
• Experience building complex software systems that have been successfully delivered to customers
• Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
• Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design
• Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
• Knowledge of cloud computing services and deployment architecture

Preferred Qualifications

• Master's degree in computer science or equivalent
• Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience debugging, profiling, and implementing best software engineering practices in large-scale systems
• Strong collaboration and communication skills, with the ability to bridge product, science and engineering to deliver end-to-end solutions
• Proficiency in online and offline experimentation, evaluation frameworks, and metrics instrumentation for UX features and ML systems

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