Drimva

Amazon

Software Development Engineer II, Identity and Registry, AWS IoT Core

$144K–$194K

Seattle, WA · Full-time · Posted Oct 29, 2026

Experience
3+ years of non-internship software development; 2+ years programming and 2+ years system design or architecture.
Education
Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field.

About the job

Build and operate AWS IoT Core services for device identity, provisioning, authentication, registry, and state management at billion-device scale.

What you'll do

  • Design and maintain highly available, low-latency distributed services for IoT device identity and management.
  • Own software development from requirements and design through testing, deployment, and production operations, including on-call and root-cause analysis.
  • Collaborate across AWS IoT teams, contribute to architecture and code reviews, and mentor engineers.

What they ask for

  • 3+ years of non-internship professional software development experience.
  • 2+ years programming in a modern language such as Java, C++, or C#, including object-oriented design experience.
  • 2+ years of non-internship system design or architecture experience, including design patterns, reliability, and scaling.
  • Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field; knowledge of software engineering lifecycle best practices and system performance, memory management, and parallel computing.

Nice to have

  • Experience with AWS or other cloud services; large-scale systems, IoT protocols, device identity, security, or registry services.
  • Experience with DynamoDB or other NoSQL databases, REST or gRPC APIs, operational excellence, or mentoring.

Pay

143,700.00 - 194,400.00 USD annually (base salary)

Tools

Java, C++, C#, AWS, MQTT, TLS/mTLS, X.509 certificates, DynamoDB

AI focus

Leverage AI to automate engineering workflows, enhance testing, and accelerate delivery; the day-to-day work may include experimenting with AI tools to improve engineering processes.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 5, 2026 (UTC)