Join Amazon’s Deployment Safety team and build the intelligent systems that keep our most critical cloud infrastructure running flawlessly. As a Software Development Engineer II, you’ll use AI and automation to design, test, and deploy updates for EC2 Frontier with precision and scale. You’ll own every stage of the development lifecycle—from crafting AI-enhanced deployment pipelines that predict risks to creating automated testing tools that catch defects before they reach production. By integrating machine learning models to analyze deployment data and real-time monitoring to flag anomalies, you’ll help millions of Amazon customers rely on infrastructure that’s safer, faster, and more resilient.

This role is for collaborative engineers who thrive on solving ambiguous problems, mentoring peers, and turning cutting-edge AI concepts into practical, high-impact solutions. If you’re passionate about blending cloud-native engineering with intelligent automation, we want to hear from you.

#AI #MachineLearning #DeploymentSafety #Cloud #Frontier

Key job responsibilities
• Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring innovative products and services to market.
• Design and build innovative technologies in a large distributed computing environment and help lead fundamental changes in the industry.
• Create solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and speed.
• Build distributed storage, index, and query systems that are scalable, fault-tolerant, low cost, and easy to manage/use.
• Design and code the right solutions starting with broadly defined problems.
• Work in an agile environment to deliver high-quality software.

A day in the life
Your morning begins with a collaborative code review—leveraging AI-assisted tools to provide feedback that elevates the team’s code quality and readiness for deployment. After a focused standup where you align on AI-driven metrics and automation priorities, you dive into building a feature you scoped last week: writing clean, scalable code to integrate a machine learning model that predicts deployment risks. You pair with a teammate to tackle a tricky integration point, using real-time debugging tools to ensure seamless automation.

Post-lunch, you join a design review where you help streamline an architecture proposal—applying AI-first principles to simplify complexity and boost efficiency. Then, you investigate an operational metric that’s flagged by your anomaly detection system, tracing it to a root cause using ML-powered correlation engines. Within hours, you’ve drafted a fix that not only resolves the issue but also enhances your predictive safety models.

Your day balances deep, heads-down coding on cloud-native features with cross-functional problem-solving—all while driving operational excellence and mentoring peers. Every task you tackle reinforces our mission: building smarter, safer systems that millions of Amazon customers rely on daily.

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
- 1+ years of software development engineer or related occupational experience
- 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
- 1+ years of Object Oriented Design experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- 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 opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually