Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Хорошая вакансия
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Чёткая зона ответственности, серьёзное техническое влияние и хороший пакет льгот делают вакансию привлекательной, но зарплата не указана, а работать можно только из Ирландии.
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Зарплата не указанаСовременные технологииПонятная рольХороший пакет льготAI в legaltechТолько Ирландия
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Lead Product Software Engineer (Brightflag) (SaaS/AI): Building the technical foundation of an enterprise legal management platform with an accent on distributed systems, AWS cloud-native architecture, performance optimisation, and technical leadership. Focus on designing scalable frameworks, solving complex production reliability challenges, and developing a cross-disciplinary engineering team.
Location: Ireland; hybrid work with 8 office days per month, or remote from anywhere in Ireland. Applicants may be required to attend onsite interviews at a hirify.global office. Work permit sponsorship and self-sponsorship are not available.
Company
Brightflag is an AI-powered enterprise legal management platform within hirify.global's Legal & Regulatory division, helping corporate legal departments manage operations, matters, legal spend, and collaboration with outside counsel.
What you will do
Lead a cross-disciplinary team of 4–5 backend, frontend, and QA engineers from associate to senior level, managing performance, feedback, development, and delivery.
Define technical direction for the team’s domain and work with Architects to develop scalable architecture.
Set quality standards and own reliability, change failure rate, and predictable feature delivery.
Coach engineers, delegate effectively, align work with individual growth, and build practices that can be adopted across engineering.
Collaborate with Product, Data Science, Infrastructure, Architects, and senior leadership to influence technical direction and represent the team’s work.
Balance hands-on technical work with people leadership and use AI tools to improve team speed and quality.
Requirements
10+ years of software engineering experience in backend, frontend, or QA, with deep expertise in at least one discipline and the technical judgement to guide engineers across all three.
Experience as a line manager or team lead accountable for delivery, including difficult feedback and managing underperformance.
Expert-level understanding of the software development lifecycle and engineering best practices.
Experience solving complex technical problems in production systems involving performance, reliability, quality, or scale.
Comprehensive understanding of software architecture, deployment topologies, and cloud environments; AWS is preferred.
Deep domain knowledge of large-scale enterprise software or SaaS systems, ideally data-rich or AI-driven products.
Experience designing or introducing frameworks, tools, or methodologies that improved delivery efficiency or system performance.
Strong collaboration and communication skills, including the ability to influence technical direction beyond the immediate team.
Experience representing a team’s work to senior stakeholders and a demonstrated passion for continuous learning and emerging technologies.
Nice to have
Experience with Java and modern backend architectures.
Experience working in a high-growth environment.
Familiarity with Elastic Stack, AWS event architectures such as SNS, SQS, and EventBridge, and containerised development environments using Docker.
Exposure to AI-driven systems, machine learning integrations, or large-scale data processing pipelines.
Culture & Benefits
High-impact work with complex technical and business problems, autonomy, and opportunities for learning and career progression.
Collaborative, friendly, values-driven, inclusive, and diverse working environment.
25 days of holidays and an employer pension scheme.
Tax-Saver or Cycle-to-Work Scheme, comprehensive health insurance, life insurance, and long-term illness/income protection.
Flexible office, home, and hybrid work patterns in Ireland, plus a wellbeing program and stipend.
Hiring process
Interviews assess individual skills, experience, and communication without AI tools, external prompts, or third-party support.
In-person interviews may be required, including attendance onsite at a hirify.global office; AI-generated interview responses may result in disqualification.
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