About the Role
Join our team of world-class engineers and build the next generation of AI products!
As a Senior Backend Engineer in the Platform team, in this specific role, you'll be leading the development of various aspects of our core services around identity and access management (IAM).
More specifically, this role within our Platform team will help drive the evolution of our IAM capabilities so that Labelbox’s customers can ensure that the AI models that they are developing on Labelbox are secure from unauthorized access, harm, or disruption.
Your Day to Day
- Design, Develop, and Deploy: Own the design, development, and deployment of critical backend systems for enterprise-grade security, including role-based access, authentication, and authorization.
- Scalability and Performance: Architect and implement highly scalable, secure, and performant systems that handle billions of records at blazing-fast speeds.
- Customer Collaboration: Work closely with our customers to understand their issues, troubleshoot them, and use their feedback to continuously improve our platform.
- Project Leadership: Lead initiatives from concept to execution, collaborating across teams to bring your vision to life, and act as a project owner.
- Strategic Planning: Shape our company's future by defining the Platform team’s IAM roadmap and working hand-in-hand with senior leadership.
- Innovation in AI: Play a key role in building new capabilities for an AI platform used by leading AI labs for developing powerful multi-modal large language models (LLMs).
About You
- 6-8+ years of experience as a backend software engineer
- Expert in TypeScript and JavaScript
- Solid grasp of architectural concepts in large-scale distributed systems
- Expertise in multiple storage systems (Relational Databases, Key-Value Stores, Cloud Buckets, etc.)
- Strong experience in building enterprise-grade security features, including:
- Role-based access control
- API Key Management
- Authentication and authorization (Auth0)
- Single Sign-On (SSO) using identity providers
- Audit trail
- Extensive experience with public cloud platforms:
- Google Cloud Platform (GCP) (preferred)
- Amazon Web Services (AWS)
- Microsoft Azure
- Working knowledge of orchestration systems, such as Kubernetes
- Familiarity with DevOps technologies, including ArgoCD, CodeFresh, and DataDog
Nice to Have
- Expertise in building streaming ETL pipelines
- Proficiency in Kotlin and Python
- Familiarity with ReactJS and front-end development techniques
- Experience with asynchronous messaging systems (Kafka, Google Pub/Sub, AWS SQS, RabbitMQ)
- An understanding of microservices architecture
- Knowledge of Google Spanner and ElasticSearch
Engineering at Labelbox
We build a comprehensive platform and end-to-end tool suite for AI system development. We believe in providing the best user experience at scale with high quality. Our customers use our platform in production environments, daily, to build and deploy AI systems that have a real positive impact in the world.
We believe in collaborative excellence and shared responsibility with decision making autonomy wherever possible. We strive for a great developer experience with continuous fine tuning. How we work is one of the cornerstones of engineering excellence at Labelbox.
We learn by pushing boundaries, engaging in open debate to come up with creative solutions, then committing to execution. We continuously explore and exploit new technologies, creating new and perfecting existing techniques and solutions. Making customers win is our North Star.
