Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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€93к-155к/год
€61к€90кмедиана€110к
По похожим ролям (49) ~ €90к/год
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Отличная вакансия
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Высокая зарплата, понятная зона ответственности на уровне Principal и работа с AI-продуктом на большом масштабе делают вакансию привлекательной, но нужны право на работу в Ирландии и готовность ездить в офис.
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Только ИрландияЗарплата выше рынкаAI на большом масштабеАктуальный стекШирокая зона ответственности
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Principal Software Engineer - Backend or Data (AI): Building backend services and large-scale data pipelines that power AI/ML personalization in Yahoo Mail with an accent on high-throughput systems, data quality, and reliability. Focus on designing self-healing pipelines, scaling petabyte-level infrastructure, and validating AI-generated code across Ireland and US engineering teams.
Location: Dublin, Ireland; hybrid work with 2 days per week on-site. Applicants must have the legal right to work in Ireland at the time of application. Collaboration spans Ireland and US time zones.
Salary: €92,850–€154,750 per year, with potential discretionary annual bonus or commissions.
Company
hirify.global Mail provides a large-scale consumer email service used by more than 220 million monthly active users, supported by petabyte-scale infrastructure.
What you will do
Design, build, and evolve backend services and data pipelines for AI/ML personalization and assistive intelligence.
Lead performance, scalability, cost, and reliability improvements across high-volume systems.
Build self-healing pipelines, graceful degradation mechanisms, and automated diagnostics.
Establish automated data quality and compliance frameworks for petabyte-scale datasets.
Align service and data architecture roadmaps between Dublin and US-based engineering teams.
Define best practices for AI-assisted development, including security, scalability, and validation of AI-generated code.
Requirements
8+ years of professional experience in backend engineering, data engineering, or big data processing on complex, high-scale systems.
Bachelor’s degree in Computer Science or a related field.
Expertise in either large-scale data systems or high-throughput backend services, with working knowledge of the other area.
Strong proficiency in an object-oriented language, preferably Java or Python, and strong SQL skills.
Experience with batch or streaming data pipelines, Spark or an equivalent technology, high-scale server applications, and public cloud platforms.
Demonstrated use of AI coding assistants and LLMs, plus strong communication skills for influencing technical direction across international teams.
Nice to have
Spec-driven development experience.
Google Cloud Platform experience, especially DataProc, Dataflow, Composer, or Airflow.
Hadoop ecosystem experience.
Experience with email protocols, high-volume messaging platforms, NLP, or large-scale personalization engines.
Experience bridging international engineering hubs.
Culture & Benefits
AI-first engineering environment with high standards for code quality and architectural rigor.
Flexible-hybrid approach with occasional on-site sessions, team-building activities, or other in-person events.
Healthcare, pension, and a flexible benefits package.
Equal opportunity and accessibility support throughout the application and employment process.
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