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11 часов Π½Π°Π·Π°Π΄

Backend Team Lead - REM Engineering (Node.js/Python)

Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
hybrid
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
lead
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
Israel
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify Global, списка ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… tech-ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

ОписаниС вакансии

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TL;DR
Backend Team Lead - REM Engineering (Node.js/Python): Building and scaling real-time ingestion pipelines that capture, process, and validate massive crowdsourced data streams from millions of vehicles with an accent on distributed systems, streaming infrastructure, and cloud architecture. Focus on leading backend engineers, designing ultra-high-throughput systems, optimizing latency and availability, and reducing compute, storage, and networking costs.

Location: Jerusalem, Israel; hybrid workplace

Company

hirify.global develops technologies for accident prevention, autonomous driving, and advanced mapping.

What you will do

  • Lead a backend engineering squad responsible for REM Ingestion.
  • Balance hands-on coding, code reviews, architecture, project management, resource planning, and delivery.
  • Design and scale real-time ingestion pipelines for crowdsourced data from millions of vehicles.
  • Build resilient, low-latency, highly available distributed systems with efficient cloud resource usage.
  • Improve data throughput, system performance, and compute, storage, and networking costs.
  • Mentor engineers and promote technical excellence and continuous learning.

Requirements

  • At least 2 years of experience leading, mentoring, and growing backend engineering teams.
  • At least 5 years of backend experience building high-scale distributed cloud architectures.
  • Hands-on experience with high-throughput streaming and queuing systems such as Kafka, AWS Kinesis, or RabbitMQ.
  • Strong experience with AWS, including EKS, S3, or CloudFront, and containerized workflows using Docker and Kubernetes.
  • Proficiency in Node and/or Python.
  • Understanding of high-performance relational and NoSQL databases, plus Data Lake architectures such as Iceberg or Glue.

Nice to have

  • Experience with task queues and stream-processing frameworks such as Celery or Spark.
  • Background in geospatial data processing or handling.

Culture & Benefits

  • Hands-on technical leadership in a team developing systems for autonomous driving and advanced mapping.
  • Hybrid work arrangement in Jerusalem.
  • Emphasis on technical excellence, mentorship, and continuous learning.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’