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1 день назад

Lead Software Engineer (Python, Node.js, AWS, AI/ML)

Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Ireland
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
Lead Software Engineer (Python, Node.js, AWS, AI/ML): Building scalable cloud-based SaaS higher education solutions and AI-enabled engineering platforms with an accent on full-stack development, distributed systems, and LLM-backed workflows. Focus on designing agentic systems, evolving microservices, improving platform reliability, and mentoring engineers through complex technical delivery.

Location: Hybrid role based in Dublin, Ireland

Company

hirify.global develops AI-powered SaaS solutions and data-rich platforms for higher education institutions worldwide.

What you will do

  • Lead the design, development, delivery, and maintenance of complex cloud-based SaaS solutions and large ERP systems.
  • Build full-stack features, platform tooling, APIs, microservices, and event-driven solutions using modern technologies.
  • Design and implement AI-enabled engineering solutions, including LLM-backed workflows, agentic systems, tool-calling patterns, and model evaluation approaches.
  • Define technical strategies, architectural guidance, coding standards, and development conventions with product and engineering stakeholders.
  • Investigate complex functional, integration, scalability, reliability, and performance issues through analysis and proof-of-concept work.
  • Mentor engineers through design reviews, code reviews, technical coaching, and guidance on AI-assisted development.

Requirements

  • 7+ years of professional software development experience in a product or SaaS environment.
  • Proficiency in multiple languages and frameworks, including Node.js, JavaScript/TypeScript, React, Python, C#, Java, and .NET Core.
  • Experience designing large-scale distributed systems, microservices, event-driven architectures, and highly available production services.
  • Strong knowledge of AWS, containerization, infrastructure automation, CI/CD, test automation, observability, release engineering, and DevOps practices.
  • Experience building or guiding LLM and agentic systems, including prompt and context design, tool orchestration, structured outputs, human-in-the-loop validation, retrieval-augmented generation, guardrails, and evaluation frameworks.
  • Strong understanding of secure design, authentication, authorization, encryption, enterprise application security, technical communication, and engineering mentorship.

Culture & Benefits

  • Hybrid work environment with a focus on agile collaboration and continuous improvement.
  • 25 days of annual leave plus public holidays.
  • Optional private medical and dental coverage and a competitive pension plan.
  • Flexible lifestyle account supporting health, financial, and learning interests.
  • Wellness resources, mental health support, caregiver support, parental leave, and five charitable days.
  • Education assistance and professional development opportunities.

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