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2 дня назад

Senior Software Engineer (Python)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Israel
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior Software Engineer (Python): Design, build, and optimize scalable backend services and large-scale data processing pipelines running on Databricks with an accent on distributed computation, performance tuning, and high-throughput data workflows. Focus on implementing efficient algorithms, ensuring system reliability under heavy loads, and contributing to architectural decisions for the data platform.

Herzliya, Israel

Company

hirify.global helps security and risk leaders gain a clear, defensible view of their cyber exposure, grounded in financial impact and real-world attack paths.

What you will do

  • Design, develop, and maintain scalable, high-performance backend services in Python.
  • Build and optimize large-scale data processing pipelines on Databricks.
  • Implement efficient algorithms, data transformations, monitoring, alerting, and observability for data workloads.
  • Collaborate with Data Scientists, Product Managers, and engineering teams to deliver scalable solutions.
  • Contribute to architectural decisions, technical strategy, code quality, CI/CD, and documentation.
  • Troubleshoot production issues, perform root-cause analysis, and optimize system stability.

Requirements

  • 5+ years of backend software engineering experience with strong focus on Python.
  • Hands-on experience with Apache Spark, Databricks, or similar distributed-processing frameworks.
  • Proven ability to design and optimize high-scale data pipelines handling large datasets.
  • Strong understanding of distributed systems, parallel processing, performance tuning, data structures, algorithms, and system design.
  • Familiarity with cloud environments (Azure, AWS, or GCP) and modern CI/CD processes.
  • Excellent problem-solving skills and ability to work independently.

Nice to have

  • Experience in data lakehouse architectures or cloud-native data platforms.
  • Familiarity with container technologies (Docker, Kubernetes).
  • Background in cybersecurity, analytics platforms, or large-scale SaaS systems.
  • Hands-on experience with AI concepts, LLMs, and agents.

Culture & Benefits

  • Strong engineering culture focused on excellence, transparency, and growth.
  • Impactful role with broad technical ownership.
  • Competitive compensation and benefits package.
  • Opportunity to work on complex, large-scale data processing challenges.

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