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Experienced Backend Developer for Cloud Infrastructure (AWS/Python)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Israel
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Experienced Backend Developer for Cloud Infrastructure (AWS/Python): Building and operating highly scalable cloud infrastructure, backend systems, and batch-processing pipelines for massive sensor datasets with an accent on AWS services, Python development, and resource optimization. Focus on designing systems that process hundreds of thousands of parallel CPUs, managing petabyte-scale data, and troubleshooting low-level Linux and performance challenges.

Location: Jerusalem, Israel; hybrid workplace

Company

hirify.global develops autonomous driving and car safety technologies supported by large-scale cloud infrastructure.

What you will do

  • Design, develop, deploy, and maintain backend systems and Python packages for cloud infrastructure.
  • Build hyper-scale batch-processing frameworks supporting hundreds of thousands of parallel CPUs.
  • Develop systems for ingesting, storing, and managing more than 100 PB of camera and sensor data.
  • Build and operate cloud tools with AWS services including S3, EC2, Spot, EBS, ECS, Batch, DynamoDB, and CloudWatch.
  • Develop infrastructure and automation using Lambda, RDS, CloudFormation, and Terraform.
  • Collaborate with Algorithms, Software, Validation, AWS, and other stakeholder teams to deliver reliable systems.

Requirements

  • B.Sc. in Computer Science, Computer Engineering, or a related field.
  • At least 4–5 years of Python experience, including advanced Python packages.
  • Backend experience with databases, Elasticsearch, Redis, or similar technologies.
  • Hands-on experience developing and operating high-throughput, large-scale batch-processing pipelines in AWS.
  • Solid Linux and operating-systems fundamentals, including memory management, system calls, process execution, binary inspection, and performance troubleshooting.
  • Experience with Docker, Kubernetes, AWS Cloud Services, system-level scripting, infrastructure automation, and Go.

Culture & Benefits

  • Hybrid work within the R&D Cloud department.
  • Work with experienced developers, architects, and AWS specialists.
  • Collaborate closely with AWS teams and stakeholders across the organization.
  • Contribute to systems used at significant scale, where optimizations can affect autonomous vehicle development and car safety.
  • Use AI-assisted development tools responsibly as part of modern engineering practices.

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