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4 дня назад

Dev Ops Engineer (Cybersecurity)

5 994 - 8 563
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Netherlands
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Dev Ops Engineer (Cybersecurity/Data): Building an innovative security platform to process and enrich security findings with an accent on data pipelines and risk prioritization. Focus on designing scalable data models using Databricks and ensuring the reliability of security-focused data flows.

Location: Hybrid, Utrecht (NL)

Salary: €5,994 - €8,563 per month

Company

hirify.global is a global banking organization focused on supporting clients in the food and energy transitions through innovative financial solutions.

What you will do

  • Develop a security platform to process, enrich, and connect quality and security findings to improve the security posture view.
  • Implement large-scale data pipelines to ingest and aggregate data, delivering prioritized actionable lists of findings.
  • Design complex data models to enable analysts to extract meaningful insights from processed security data.
  • Ensure high data quality, reliability, and observability within production environments.
  • Create analytical insights and dashboards to facilitate the prioritization of risks.
  • Collaborate closely with platform engineering and DevOps teams to align on shared pipelines and contracts.

Requirements

  • Bachelor’s or Master’s degree in computer science or a related field.
  • At least 4 years of relevant experience in data engineering, building and operating scalable data platforms in production.
  • Strong programming skills in Python following software engineering best practices.
  • Hands-on experience with Databricks (Delta Lake, Structured Streaming, Unity Catalog) and Medallion architecture.
  • Experience with CI/CD tools (e.g., Terraform) and working in containerized environments.
  • Ability to translate product needs into data logic and risk-based insights.

Nice to have

  • Familiarity with GraphQL, schema-first APIs, and graph technologies like Neo4j.
  • Experience with AI or LLM-driven analytics and insights.
  • Knowledge of risk/threat modeling frameworks such as MITRE ATT&CK.
  • Experience with security data domains including SAST, DAST, SCA, and vulnerability management.

Culture & Benefits

  • Hybrid working environment allowing a balance between home and office.
  • Competitive compensation including a 13th-month payment and 8% holiday allowance.
  • 10% Employee Benefit Budget and a €1,400 annual development budget for professional growth.
  • A culture characterized by openness, innovation, and a strong focus on continuous improvement.
  • Commitment to diversity and inclusion, encouraging a wide range of backgrounds and perspectives.

Hiring process

  • Initial resume and cover letter review followed by confirmation via email.
  • One or more online interviews and a potential technical assignment or assessment.
  • Final offer stage including a legal screening and reliability assessment.

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