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Backend Tech Lead

·Israel
Not specifiedFull-timeBackend DevelopmentEdTechArtificial Intelligence

Lead architecture and development of scalable backend systems for a real-time AI language learning platform, with a focus on Python, low latency, reliability, and distributed services.

Responsibilities

  • Design, develop, and maintain high-performance REST and gRPC backend services
  • Build and optimize asynchronous Python applications for real-time audio and text processing
  • Integrate backend systems with mobile and web clients at low latency
  • Lead architecture decisions focused on fault tolerance, scalability, and performance
  • Collaborate with AI/ML, mobile, DevOps, and product teams on end-to-end solutions
  • Contribute to CI/CD workflows, deployment quality, and code quality standards
  • Optimize system performance and resource utilization against reliability objectives

Requirements

  • At least 8 years designing and developing scalable distributed backend systems
  • Deep expertise in Python concurrency and execution models
  • Production experience building asynchronous Python applications for high-volume traffic
  • Strong production experience with Pydantic and FastAPI
  • Expertise designing RESTful APIs and gRPC services, including compatibility and versioning
  • Experience solving performance, scalability, and workload distribution challenges
  • Proficiency with relational and non-relational databases, query optimization, and data modeling
  • Experience with event-driven architectures and message queues
  • Hands-on experience with Docker, CI/CD, Kubernetes, and AWS deployments
  • Strong proficiency with AWS and cloud-native architectures
  • Understanding of observability, including tracing, metrics, logging, and monitoring

Nice to have

  • Additional experience with Go, Rust, Java, Scala, or Kotlin
  • Audio/video streaming and real-time communication experience
  • Dataframe libraries such as Pandas, Polars, or Daft
  • LLM integration and AI model serving frameworks
  • Data pipelines, ETL, Spark, Flink, Airflow, or Dagster
  • Open-source contributions

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