1 день назад
Lead Software Engineer (Python, Node.js, AWS, AI/ML)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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