Software Development Engineer II, Device OS

vibehackers; Bellevue (WA); Hybrid; USD 144,000 - 194,000; Full time

Benefits offered by this job

Sign-on payments and RSUs

Job summary

Amazon Devices is seeking a Software Development Engineer II to build core AI/agent infrastructure used across device surfaces (Alexa, Fire TV, mobile, wearables). You will design, implement, test, and operate components that integrate model providers, agent capabilities, evaluation pipelines, and APIs consumed by product teams.

The role emphasizes scalable backend services, security-conscious design, and collaboration across teams to ship multimodal features with high reliability and

Qualifications

• 3+ years of non-internship professional software development experience.
• 2+ years of design or architecture experience for new and existing systems.
• 1+ years of experience designing and developing large-scale, multi-tiered, multi-threaded, embedded, or distributed software.
• 1+ years of Object-Oriented Design experience.
• Bachelor’s degree or foreign equivalent in CS/Engineering/Math or related field.
• Experience programming with at least one programming language.

Responsibilities

• Design, build, test, and operate scalable backend services and libraries powering AI/LLM-driven features.
• Integrate and harden model providers, tools, and agent capabilities behind versioned interfaces with observability and cost/latency awareness.
• Implement evaluation, regression, and quality tooling to measure and gate AI behavior.
• Apply security-conscious, fail-closed design for credentials, user data, tool execution, or autonomous actions.
• Work with AI coding assistants and agentic workflows, decompose tasks for agents, review AI-generated code, and ensure testing and code review gates.
• Collaborate across teams to prototype, test, and deploy multimodal features spanning devices with cross-surface continuity.

Skills

System Design

Reliability Engineering

Scalability

Observability

Automated Testing

Code Review

Object-Oriented Design

Security-conscious Design

API Design

Performance Optimization

Prototyping

Cross-team Collaboration

Mentoring

Embedded/Distributed Systems

Evaluation and Quality Engineering

Education

Bachelor's degree in Computer Science/Engineering/Mathematics

Job description

Software Development Engineer II, Device OS

Uses AI coding assistants and agentic workflows daily and builds AI/agent runtime and tooling—directly tied to vibe coding and AI-native dev workflows.

About the Role

Senior individual-contributor software engineer role on Amazon Devices building AI/agent runtime, services, and tooling for device OS. The SDE II will design, implement, and operate scalable, safe, and performant integrations of models and agent execution loops, owning components end-to-end for customer-facing AI features.

Job Description

Role

Amazon Devices is hiring a Software Development Engineer II to build core AI/agent infrastructure used across device surfaces (Alexa, Fire TV, mobile, wearables). You will design, implement, test, and operate components that integrate model providers, agent capabilities, evaluation pipelines, and APIs that product teams consume.

Key Responsibilities

• Design, build, test, and operate scalable backend services and libraries that power AI/LLM-driven features.
• Integrate and harden model providers, tools, and agent capabilities behind versioned interfaces with sensible failure behavior, observability, and cost/latency awareness.
• Implement evaluation, regression, and quality tooling to measure and gate AI behavior.
• Apply security-conscious, fail-closed design for components handling credentials, user data, tool execution, or autonomous actions.
• Work with AI coding assistants and agentic workflows: decompose tasks for agents, review AI-generated code, and maintain engineering rigor with automated tests and code review.
• Collaborate across teams to prototype, test, and deploy multimodal features that span devices and maintain cross-surface continuity.

Requirements

• 3+ years of non-internship professional software development experience.
• 2+ years of design or architecture experience for new and existing systems (reliability and scaling).
• 1+ years of experience designing and developing large-scale, multi-tiered, multi-threaded, embedded, or distributed software applications, tools, systems, and services using C#, C++, Java, or Perl.
• 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 programming language.

Preferred Qualifications

• 3+ years across full software development lifecycle including coding standards, code reviews, source control, builds, testing, and operations.

Team and Environment

• Platform team focused on shared AI/agent infrastructure; emphasizes correctness, safety, developer experience, test-first development, adversarial review, and reusable core components.
• Engineers use AI-native development workflows, including AI coding assistants and agentic workflows, with high velocity and strict automated testing and code review gates.
• Base salary range listed: 143,700.00 - 194,400.00 USD annually (final compensation determined by experience, qualifications, and location).
• Package may include sign-on payments and restricted stock units (RSUs).
• Benefits include medical, dental, vision, prescription coverage, Basic Life & AD&D insurance and optional supplemental life plans, EAP and mental health support, medical advice line, flexible spending accounts, adoption and surrogacy reimbursement, 401(k) matching, paid time off, and parental leave.

C# C++ Java Perl Alexa Fire TV large language models (LLMs) agents AI coding assistants agentic workflows

Skills

System Design Reliability Engineering Scalability Observability Automated Testing Code Review Object-Oriented Design Security-conscious Design API Design Performance Optimization Prototyping Cross-team Collaboration Mentoring Embedded/Distributed Systems Evaluation and Quality Engineering