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Backend Engineer, Platform

Labelbox

Join Our Team as a Backend Engineer, Platform

Labelbox is seeking a talented Backend Engineer to join our Platform team. In this role, you will be instrumental in developing core services around identity and access management (IAM), ensuring that our AI models are secure from unauthorized access, harm, or disruption.

Key Responsibilities

  • Design, Develop, and Deploy: You will 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

  • 3+ years of experience as a backend software engineer
  • Proficiency in TypeScript and JavaScript
  • Solid grasp of architectural concepts in large-scale distributed systems
  • Experience in multiple storage systems (Relational Databases, Key-Value Stores, Cloud Buckets, etc.)
  • Experience in building enterprise-grade security features, such as:
    • Role-based access control
    • API Key Management
    • Authentication and authorization (Auth0)
    • Single Sign-On (SSO) using identity providers
    • Audit trail
  • 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

  • Experience 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

Why Join Labelbox?

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 are dedicated to achieving excellence and recognize the importance of bringing our talented team together. While we continue to embrace remote work, we have transitioned to a hybrid model with a focus on nurturing collaboration and connection within our dedicated tech hubs in the San Francisco Bay Area, New York City Metro Area, and Wrocław, Poland.

Labelbox strives to ensure pay parity across the organization and discuss compensation transparently. The expected annual base salary range for United States-based candidates is $155,000—$170,000 USD. This range is not inclusive of any potential equity packages or additional benefits. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location.

Join us in pushing boundaries, engaging in open debate to come up with creative solutions, and 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.

Benefits
Extracted with AI

  • Hybrid work model
  • Competitive salary
  • Equity packages
  • Collaboration in tech hubs

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