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6 дней назад

Sr. Software Engineer (Data Ingestion)

199 750 - 260 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Sr. Software Engineer (Data Ingestion): Building and operating high-throughput ETL pipelines that transform autonomous pentest output into structured data for graph and relational stores with an accent on Go/Python services, schema design, and production reliability. Focus on normalizing heterogeneous security data, evolving data contracts, and diagnosing latency, correctness, and throughput issues across distributed systems.

Location: US, Remote; up to 5% travel may be required.

Base salary: $199,750–$260,000 annually, plus stock options for full-time employees.

Company

hirify.global is a remote cybersecurity company developing NodeZero, a platform for autonomous penetration testing and security assessment operations.

What you will do

  • Design, implement, operate, and monitor data ingestion pipelines processing pentest results, discovered assets, vulnerability findings, and network topology data.
  • Own pipeline delivery from schema design and implementation through testing, deployment, and production monitoring.
  • Build ETL components in Go and/or Python to normalize heterogeneous execution-engine outputs.
  • Define and evolve data contracts with Asset Inventory and Data Platform teams.
  • Diagnose production issues involving pipeline latency, data correctness, and throughput.
  • Contribute to design and code reviews and provide guidance to P3 engineers.

Requirements

  • 5+ years of professional software engineering experience with production backend systems.
  • Strong Go and/or Python proficiency and production experience with data pipelines or ETL systems.
  • Working knowledge of message queues or event streaming systems such as Kafka or RabbitMQ.
  • Experience with relational databases, including schema design, query optimization, and migrations.
  • Experience with Kubernetes, Docker, and distributed systems running in AWS or an equivalent cloud.
  • Operational mindset with experience instrumenting services, writing runbooks, and owning systems through their lifecycle.

Nice to have

  • Familiarity with graph databases or graph data models, including Neo4j or DGraph.
  • Experience with Apache Kafka at production scale.
  • Cybersecurity, security tooling, vulnerability data, offensive security, or penetration-testing experience.

Culture & Benefits

  • Fully remote work with a collaborative, inclusive, and ownership-focused culture.
  • Health, vision, and dental coverage for employees and families.
  • Flexible vacation policy and generous parental leave.
  • Career development opportunities in a growing cybersecurity company.
  • Equity package in the form of stock options for full-time employees.

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