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Senior Backend Engineer - Real-time IoT

America's first super app to radically simplify car ownership, backed by AI and machine learning.
Backend
Senior Software Engineer
Remote
501 - 1,000 Employees
5+ years of experience
AI · Automotive
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Description For Senior Backend Engineer - Real-time IoT

Jerry.ai is a rapidly growing pre-IPO startup revolutionizing the $2T car ownership industry in the U.S. With $240M in funding and 60X revenue growth in 5 years, they're seeking a Senior Backend Engineer for their DriveShield™ team. This role focuses on building scalable, high-performance backend systems for real-time IoT applications to enhance driver safety. The position offers the opportunity to work with cutting-edge technologies including Kafka, Flink, and AWS, while contributing to a product that impacts millions of users. Jerry.ai has achieved profitability in 2024 with 50% year-over-year growth and features a talented team with leaders from NVIDIA, Robinhood, Amazon, Meta, and other top companies. The company is recognized for its innovative use of GenAI and has been featured in Harvard Business Review and Forbes. This role is perfect for engineers passionate about building robust distributed systems and working with streaming data at scale, offering the chance to help grow the platform from 5M to 50M customers while making a real-world impact on driver safety.

Last updated 17 days ago

Responsibilities For Senior Backend Engineer - Real-time IoT

  • Oversee system design and architecture to ensure robust and scalable solutions
  • Develop and optimize stream processing applications using Kafka and Flink
  • Profile and optimize application performance
  • Collaborate with data scientists to deploy and integrate models in production
  • Handle data processing, sanitization, validation, and data QA

Requirements For Senior Backend Engineer - Real-time IoT

Java
Python
Kafka
  • 5+ years of software engineering experience
  • Proficient in at least one core language (e.g., Java, Python, Go, JavaScript)
  • Expertise in Kafka, Flink and AWS
  • Experience building stream processing applications
  • Known for shipping products and features lightning-fast
  • Startup experience at a high-growth company (nice to have)
  • Previous knowledge of working with geospatial data (bonus)

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