Software Development Engineer II, AWS Invoicing

Description

• AWS is expanding into more markets around the world than ever before, and the bottleneck is not customer demand — it is launch speed. Our mission is to make every new market launch faster, more reliable,

Description

• AWS is expanding into more markets around the world than ever before, and the bottleneck is not customer demand — it is launch speed. Our mission is to make every new market launch faster, more reliable, and ultimately automatic — building the next-generation automation platforms that fundamentally change how quickly AWS can reach customers in new countries. Our platforms are powered by generative AI, large language models, knowledge graphs, and agentic architectures that dynamically compose specialized agents based on context. We apply these capabilities across three reinforcing areas: intelligent launch readiness — where autonomous AI agents analyze, generate, and validate the information needed to go live in a new market; cloud-native service orchestration — where configuration-driven microservices replace per-launch bespoke engineering with centralized, reusable capabilities so that expanding into a new country becomes a zero-code configuration change rather than a development cycle; and continuous validation — where self-healing autonomous workflows manage the full validation lifecycle from planning through execution to intelligent failure diagnosis. These three platforms feed into each other — the generative AI layer drives the orchestration layer, and the validation framework validates both, creating a closed-loop feedback system that improves accuracy and reliability with every launch. Together, they compress what has historically been a multi-month launch process into a matter of weeks. We are looking for engineers who can help us build the platforms and tooling that will scale AWS's global expansion by an order of magnitude — with a growing backlog of market launches and a committed pipeline ahead. In this role you will: Design and build agentic AI systems that analyze, generate, and validate launch information across multiple countries, enabling domain experts to review in hours what previously took weeks. Build agentic architectures that compose specialized AI agents dynamically, enabling rapid iteration without code deployments and continuous learning from expert feedback. Architect configuration-driven pipelines so that launching a new market requires a config change, not a development cycle. Partner with engineers across service teams to make integration points configurable and testable by design, creating one-time investments that pay off on every subsequent launch. Build AI-driven continuous validation frameworks powered by agentic workflows and large language models that autonomously manage the full validation lifecycle. Collaborate with cross-functional stakeholders to close the feedback loop between AI-generated output and domain expertise. You're a good fit if you: Have built or contributed to AI/ML systems in production — agentic workflows, LLM pipelines, knowledge graphs, or retrieval-augmented generation — and know the difference between a demo and a system experts trust. Think in systems — how configuration propagates across services, how validation maps to launch readiness, and how failures surface to the right team. Are comfortable with ambiguity, making architectural decisions with incomplete information and iterating based on real results. Write clean, testable code and care about operational excellence on systems that sit on the critical path of AWS's global expansion. Prefer partnering with another team to solve a problem at the source over building a workaround on your side. Want measurable impact — we track launch velocity, automation coverage, accuracy, and defect reduction. What makes this team different: Every launch you accelerate opens a new market for AWS. You'll work across a state-of-the-art AI-powered platform that spans launch readiness, service orchestration, and continuous validation — not just one slice. We build AI systems that experts use daily and measure success by whether they trust the output enough to stop doing it manually. You'll spend real time understanding adjacent systems and codebases, not just calling their APIs. Inclusive Team Culture Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Work/Life Balance Our team puts a high value on work-live balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. This position involves on-call responsibilities, typically for one week every two months. We don’t like getting paged in the middle of the night or on the weekend, so we work to ensure that our systems are fault tolerant. When we do get paged, we work together to resolve the root cause so that we don’t get paged for the same issue twice. Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future. - We own the mission-critical data aggregation layer powering AWS Billing Console. - We work on impactful projects that have org-level visibility. - We solve challenging scaling and performance problems. - We use cutting-edge AWS technologies and implement all best practices. - Excellent work-life balance and sustainable operational load.

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 - Experience programming with at least one software programming language

Preferred Qualifications