**Senior Backend Engineer, Platform**
**Location:** San Francisco Bay Area
**Company Overview:**
The company is a leading Generative AI Data Platform backed by Google and Kleiner Perkins. It offers a comprehensive solution for data labeling, combining on-demand services with a top-tier data labeling system. The platform supports high-quality data generation for supervised fine-tuning and other AI processes. It serves Fortune 500 enterprises and prominent AI labs.
About the Role
As a Senior Backend Engineer on the Platform engineering team, you’ll lead the development of key aspects of our core services, including data I/O, streaming and storage capabilities. In this role, you will drive the evolution of our data infrastructure , focusing on large-scale high-throughput import and export, enabling our customers to seamlessly stream data from us to their platform, supporting the development of next generation AI models.
Your Day to Day
- Design, Develop, Deploy: Lead the design, development, and deployment of critical backend systems for large-scale distributed data infrastructure, including high-throughput exports.
- Scalability & Performance: Architect highly scalable, secure, and performant systems to handle billions of records at blazing speeds.
- Customer Collaboration: Work directly with customers to understand their needs, troubleshoot issues, and continuously improve the platform based on their feedback.
- Project Leadership: Drive initiatives from concept to execution, collaborating across teams and acting as a project owner.
- Strategic Planning: Work closely with stakeholders to define the Platform team’s roadmap and work closely with senior leadership to shape the company’s future.
- Innovation in AI: Contribute to building new capabilities for an AI platform used by leading AI labs to develop powerful multi-modal large language models (LLMs).
About You
- 5-8+ years of experience as a backend software engineer
- Expertise in a modern programming language (Python, Java, Kotlin, or TypeScript)
- Proficient in multiple storage systems (Relational Databases, Key-Value Stores, Cloud Buckets, etc.)
- Strong understanding of architectural concepts for large-scale distributed systems
- Expertise in building streaming ETL pipelines
- Experience with asynchronous messaging systems (Kafka, Google Pub/Sub, AWS SQS, RabbitMQ)
- Extensive experience with one or more public cloud platforms:
- Google Cloud Platform (GCP) (preferred)
- Amazon Web Services (AWS)
- Microsoft Azure
Nice to Have
- Familiarity with ReactJS and front-end development techniques
- An understanding of microservices architecture
- Knowledge of Google Spanner and ElasticSearch
- Working knowledge of orchestration systems (e.g., Kubernetes)
- Familiarity with DevOps tools, such as ArgoCD, CodeFresh, and DataDog
**Compensation:**
- Annual base salary range: $190,000 - $225,000 USD.
- Salary may vary based on skills, experience, and location.
- Remote-friendly hybrid model with a focus on collaboration within tech hubs.
