Software Development Engineer II, AWS Events Technology Mobile App Team

Amazon.com Inc

Seattle, WA

JOB DETAILS
SKILLS
AWS Lambda, Amazon Web Services (AWS), Application Programming Interface (API), Artificial Intelligence (AI), Code Reviews, Concurrency, Conferences, Customer Experience, Documentation, High Availability, International Marketing, Mentoring, Metrics, Mobile Applications, Mobile Technology, Operational Support, Product Design, RTSP (Realtime Streaming Protocol), React Native, Software Development, Software Engineering, User Interface/Experience (UI/UX)
LOCATION
Seattle, WA
POSTED
5 days ago

The AWS Event Technology Team (ETT) is at the forefront of delivering exceptional event experiences for our customers. We design, build, and support a cutting-edge platform that empowers marketers to create and manage thousands of virtual and in-person events annually, from large-scale conferences like re:Invent to smaller events.

Join our Event Technology Mobile App team as a Software Development Engineer and play a pivotal role in shaping the future of AI-driven event experiences. You will spearhead the development and enhancement of our world-class personalization and AWS Events Mobile App, ensuring a seamless and engaging experience for attendees worldwide. Collaborate closely with AWS global marketing stakeholders, providing innovative tools, governance, and operational support to drive AWS growth and elevate attendee experiences to new heights.

Key job responsibilities

As an SDE II, you will design, build, and operate a multi-agent conversational AI system powered by Amazon Bedrock that serves 500,000+ attendees across 45+ AWS events annually. You will own end-to-end feature delivery across the full stack - React Native mobile frontend, serverless backend services (Lambda, API Gateway, DynamoDB), and LLM orchestration layer - with direct accountability for performance, reliability, and quality at scale. Your work includes architecting real-time streaming protocols for sub-second response delivery, building data-driven feedback systems that measure and improve AI response accuracy across specialized agent domains, and developing intelligent push notification infrastructure with context-aware delivery. You will define and instrument operational metrics to drive continuous model and system improvements, contribute to system design reviews for high-traffic scenarios (re:Invent scale: 50K+ concurrent users), and partner with product, design, and applied science teams to evaluate new LLM capabilities and agent orchestration patterns. You will mentor junior engineers and interns, raise the engineering bar through code reviews and documentation, and own operational excellence - writing runbooks, designing for graceful degradation, and maintaining high availability during peak event periods.

About the Company

A

Amazon.com Inc

At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
COMPANY SIZE
10,000 employees or more
INDUSTRY
Retail
FOUNDED
1994
WEBSITE
http://Amazon.com/militaryroles