SDE (Rust or C/C++) , Device Cloud Core Services

Amazon is hiring an SDE (Rust or C/C++) , Device Cloud Core Services in Denver, United States. It pays $144k-$194k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

Little AI ●○○○ is how Level rates this software engineer role: aI is not part of the work.
Level classes it as a mid-level role.
Amazon has 20,000+ other open roles on Level.
Posted in the last few days.

AI in this role

Application deadline: Nov 16, 2026

Join Device Cloud Core Services (DCCS), the team building the foundational platform that powers millions of Amazon devices worldwide. We create critical customer experiences, from the moment a customer unboxes their device to every interaction after that. Our engineers work across the full technology stack, from backend web services and mobile SDKs to device software, and solve hard problems in device onboarding, connectivity, enterprise device management, and data synchronization. In this role you will help build Aries, Amazon's platform for managing and securing Amazon devices for enterprise customers. If you like building scalable, reliable systems that change how customers and businesses use Amazon devices, from Echo to Kindle to Ring, this is your chance to shape the future of connected devices at Amazon scale.

Core Technical Requirements:

- Strong programming skills in Rust or C/C++
- Experience building integrations across device software and backend services
- Understanding of distributed systems, APIs, and service integration
- Familiarity with device management, security, or compliance concepts is a plus
- Ability to write efficient, secure, and maintainable code

Key job responsibilities
- Build and maintain on-device software for Amazon's enterprise device management platform (Aries)
- Develop integrations between on-device agents and backend management services
- Implement device policy, compliance, and security capabilities for enterprise customers
- Work across the device and cloud boundary to deliver reliable, scalable enterprise features
- Partner with platform, security, and product teams to land features end to end

A day in the life
As an SDE on the Aries enterprise device management team, you'll build and maintain the on-device software that lets Amazon manage devices for enterprise customers. Daily activities include developing integrations between on-device agents and backend management services, implementing device policy, compliance, and security capabilities, and debugging across the device and cloud boundary. You'll collaborate with platform, security, and product partners to land features end to end, and work with teams across Amazon's device portfolio. Success means delivering reliable, scalable enterprise management capabilities that customers can trust to control and secure their fleets at scale.

About the team
The Aries team builds Amazon's enterprise device management platform. We own the device software and cloud services that let enterprise customers set up, manage, and secure their Amazon device fleets, including device policy, compliance, and security capabilities. Our work spans the device and the cloud, and we partner closely with platform, security, and product teams across Amazon Devices to bring enterprise grade management to Amazon hardware.

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, CO, Denver - 143,700.00 - 194,400.00 USD annually

How we rate this

SDE (Rust or C/C++) , Device Cloud Core Services at Amazon rates 27 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● 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.