Base: $168,926 - $192,500 usd; bonus/equity: not s...
On-site
Oop languages (java, ruby, javascript, typescript, go, python, rust, c++)
Containerized, cloud-based ecosystem
Restful and graphql endpoints
ID.me is seeking a Software Development Engineer III to join the Credential API team and contribute to the design and development of our credentialing platform
Job Summary
ID.me is seeking a Software Development Engineer III to join the Credential API team and contribute to the design and development of our credentialing platform.
In this role, you will work on backend services and APIs that underpin ID.me's identity trust layer, collaborating with identity, verification, and platform teams.
The annual base salary range for this position in Mountain View, CA is $168,926 to $192,500 USD, not including bonus, equity, and benefits.
Matching Summary
ID.me is seeking a Software Development Engineer III to join the Credential API team and contribute to the design and development of our credentialing platform.
Salary
Base: $168,926 - $192,500 USD; Bonus/Equity: Not specified; Benefits: Comprehensive medical, dental, vision, 401(k) with company match, unlimited PTO, and more
Skills & Requirements
Must-have
OOP languages (Java, Ruby, JavaScript, TypeScript, Go, Python, Rust, C++)
Containerized, cloud-based ecosystem
RESTful and GraphQL endpoints
Data models and storage patterns
Credential lifecycle flows
Security and privacy of credential data
High-quality, maintainable, well-tested code
Emerging identity and credentialing standards
Nice-to-have
Building and consuming REST or GraphQL APIs
Distributed systems concepts
Authentication and authorization standards
Identity and credential verification systems
Event-driven architectures
Digital credential and identity standards
Regulated or high-assurance domains
Key Requirements
4+ years of experience developing web applications
Bachelor's or Master's degree in Computer Science, Engineering, or related field (or equivalent experience)
Experience building systems in a containerized, cloud-based, infrastructure-as-code driven ecosystem
Exposure to GCP utilizing Docker, Kubernetes, or Nomad