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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
€70к-105к/год
€58к€60кмедиана€62к
По похожим ролям (5) ~ €60к/год
На СНГ рынке: $2.9к/мес ($1.9к - $3.4к)
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Крутая вакансия
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Чётко очерченная роль в надежности платформы у крупной международной компании дает возможность работать с важной инфраструктурой кибербезопасности, хотя дежурная эксплуатация и разбор инцидентов могут создавать нагрузку.
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Много эксплуатацииАктуальные технологииКибербезопасностьПоддержка развития
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Platform Engineer (Cybersecurity) (Cloud/Data Platform/SRE): Building and operating a centralized cybersecurity data lakehouse and its cloud-native platform with an accent on reliable data pipelines, EU Sovereign operations, observability, and Infrastructure-as-Code automation. Focus on troubleshooting infrastructure bottlenecks, enforcing data residency and isolation controls, reducing operational toil, and maintaining platform stability during the SIEM-to-IaC transition.
Location: Dublin, Ireland; hybrid work with at least 50% of each quarter spent in the office or in the field.
Base salary: €70,200–€105,400 EUR per year in Ireland, with potential eligibility for a bonus plan, commission/bonus, and annual refresh stock grants.
Company
hirify.global is a Fortune 500 company and AI platform for managing people, money, and agents.
What you will do
Administer, operate, and troubleshoot cybersecurity data pipelines and the broader data platform, including Splunk during the transition from a SIEM-based platform to an Infrastructure-as-Code model.
Operate the EU Sovereign Region and ensure deployments and incident responses follow European data residency, isolation, access, governance, and compliance requirements.
Define and monitor SLIs and SLOs for platform health, compute usage, storage capacity, uptime, data flow integrity, and stability.
Write and maintain Infrastructure-as-Code and automation scripts to reduce manual toil, streamline deployments, and enable auto-scaling.
Implement resource quotas and technical guardrails, troubleshoot complex pipeline and infrastructure bottlenecks, and lead incident resolution.
Participate in blameless post-mortems and fix systemic reliability issues in code while collaborating with data engineering and incident response teams.
Requirements
4+ years of hands-on experience in data engineering, cloud infrastructure operations, platform engineering, or site reliability engineering.
4+ years of experience administering enterprise Linux environments.
4+ years of experience operating major cloud platforms, including AWS, GCP, or Azure.
2+ years of experience with compute, storage, networking, and Identity Access Management.
2+ years of experience building, maintaining, or operating data pipelines, including ETL/ELT, streaming, or batch processing.
Bachelor’s degree in Computer Science, Cybersecurity, Information Security, or a related discipline, or equivalent practical experience.
Practical experience building and managing monitoring, alerting, and logging platforms such as Datadog, Prometheus, or Grafana, including tracking SLIs/SLOs and proactively troubleshooting performance bottlenecks.
Hands-on experience writing and maintaining scripts using Python, Bash, or Go, and working with Infrastructure-as-Code tools such as Terraform, Ansible, or CloudFormation.
Understanding of platform, network, application, and cloud security fundamentals, tools, and concepts, with the ability to automate consistent security configurations.
Familiarity with data residency, isolation, and regulatory compliance requirements, particularly in a European or EU Sovereign context.
Ability to manage multiple projects and priorities while handling operational responsibilities.
Excellent written and verbal communication skills, including the ability to build positive relationships with partner teams across global time zones.
Nice to have
Hands-on experience administering, searching, or troubleshooting Splunk.
Experience with data reliability engineering, including data quality monitoring, pipeline SLAs/SLOs, or data observability tooling.
Culture & Benefits
Integrity, empathy, shared enthusiasm, collaboration, and inclusive working practices.
Flexible work combining in-person time and remote work, with at least 50% of each quarter spent in the office or field depending on the role.
Support for professional growth through tools, skills development, and long-term career investment.
Potential bonus plan, role-specific commission or bonus, and annual refresh stock grants.
Reasonable accommodations are available during the application process.
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