Software Development Engineer II, AWS Invoicing
Listed on 2026-07-18
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Software Development
AI Engineer (Applied/Software), Backend Developer, DevOps, Software Engineer
Software Development Engineer II, AWS Invoicing
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 — 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 — 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.
Responsibilities- 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.
- 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.
- 3+ years of full software development life cycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations.
- Bachelor's degree in computer science or equivalent.
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: AWS embraces differences and is committed to fostering inclusion. We have employee‑led affinity groups, innovative benefit offerings, and ongoing learning experiences focused on diversity and inclusion.
Work/Life Balance:
Flexibility in working hours is offered, and on‑call responsibilities are managed to minimize disruptions. You’ll find a balance that supports both personal and professional life.
Mentorship & Career Growth:
New members receive support, mentorship, and projects that develop skills to grow into more complex roles.
- Comprehensive benefits including health, dental, vision, prescription, Basic Life & AD&D insurance, optional supplemental life plans, Employee Assistance Program, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage.
- 401(k) matching.
- Paid time off and parental leave.
- Competitive base salary ranging from USD 143,700 to USD 194,400 annually for Seattle.
- Sign‑on payments and restricted stock units (RSUs) included.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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