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Sr Backend Software Engineer - Platform

Sr Backend Software Engineer - Platform

HRBSan Francisco, CA, United States
30+ days ago
Job type
  • Full-time
Job description

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 our 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
  • #J-18808-Ljbffr

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