AmazonSoftware Dev Engineer
Amazon is hiring a Software Dev Engineer in Seattle, United States. It pays $144k-$194k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include Machine learning, AI automation and software development.
- Level classifies it as a mid-level role.
- Level lists 20,000+ other open roles at Amazon.
AI in this role
Design AI-enhanced deployment pipelines and intelligent automation systems to secure Amazon cloud infrastructure.
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.
About the team
Our team builds software that millions of Amazon customers and internal partners depend on daily. We combine operational excellence with AI-driven insights and automation-first practices to deliver reliable, high-quality systems. Every engineer’s voice matters here—we thrive on clear thinking, open collaboration, and a shared commitment to learning from both successes and challenges. As we scale EC2 Frontier to serve even more users, we’re focused on elevating the customer experience and empowering our team with cutting-edge tools, from AI-enhanced deployment pipelines to real-time monitoring frameworks.
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
How we rate this
Software Dev Engineer at Amazon rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a workflow you automated with AI tools, end to end.
- Tell me about a project where software development was part of your work. What did you do?
- Tell me about a project where distributed systems was part of your work. What did you do?
- Tell me about a project where cloud infrastructure was part of your work. What did you do?
- Tell me about a project where automation was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI Automation, Software Development, Distributed Systems, Cloud Infrastructure, and Automation. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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