Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
149к-199к CAD/год
150к CAD190к CADмедиана220к CAD
По похожим ролям (49) ~ 190к CAD/год
На СНГ рынке: $4к/мес ($2.9к - $4.8к)
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Крутая вакансия
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Понятная зона ответственности уровня Staff, работа с критически важными системами и гибкие условия делают вакансию сильной, хотя роль предполагает широкий круг задач между командами.
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Широкая зона влиянияАктуальные технологииГибкие условияПравовые технологии
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Staff Software Engineer - II (KeyCite) (Distributed Systems/LegalTech): Leading the modernization of business-critical KeyCite platforms and building scalable services, APIs, and data-processing capabilities for structured and unstructured legal content with an accent on reliability, scalability, and architectural sustainability. Focus on designing cloud-native and event-driven systems, simplifying legacy platforms without disrupting customers, and setting technical direction across engineering teams.
Base compensation: CAD 148,800–198,800 annually in Ontario, with possible annual bonus eligibility.
Company
hirify.global provides trusted content, software, and insights for legal, tax, accounting, compliance, government, and media professionals.
What you will do
Lead complex engineering initiatives from architecture through production for large-scale, business-critical systems.
Modernize KeyCite platforms and services using contemporary architectural patterns without disrupting customer-facing products.
Design distributed services, APIs, event-driven systems, and data-processing capabilities for large volumes of structured and unstructured legal content and metadata.
Set architecture, quality, reliability, security, observability, deployment, and operational standards across teams.
Partner with Product, Architecture, and engineering leadership on technical strategy, trade-offs, platform reuse, and measurable business outcomes.
Mentor senior engineers, lead design reviews, and communicate complex architectural decisions to technical and non-technical stakeholders.
Requirements
6+ years of experience designing and delivering complex production software systems.
Deep backend and distributed-systems engineering expertise, including APIs, services, event-driven architectures, scalability, performance, reliability, and observability.
Strong experience with cloud-native architectures, preferably AWS, and with large-scale data processing and data pipelines.
Experience modernizing complex legacy or long-lived production systems without disrupting existing customers.
Strong programming skills, ideally in Java and/or Python.
Experience with automated testing, CI/CD, infrastructure automation, and production monitoring.
Ability to influence architecture and technical direction beyond one team, independently navigate ambiguous complex problems, and make pragmatic trade-offs.
Strong communication skills and experience explaining architectural trade-offs to technical and non-technical stakeholders.
Experience mentoring senior engineers and raising technical standards across teams.
Nice to have
Experience with high-volume content, publishing, search, information retrieval, metadata, knowledge, graph, or relationship-oriented data platforms.
Experience building platforms or services consumed by multiple products and engineering teams.
Exposure to legal technology, professional information, or domains where accuracy, provenance, and reliability are critical.
Familiarity with AI-enabled applications and their backend and data infrastructure.
Culture & Benefits
Flexible hybrid work model for office-based roles.
Flexible work arrangements, including working from anywhere for up to 8 weeks per year.
Flexible vacation, two company-wide mental health days, Headspace access, retirement savings, tuition reimbursement, incentive programs, and wellbeing resources.
Continuous learning and development through Grow My Way programming and skills-first development.
Two paid volunteer days annually and opportunities for pro-bono consulting and ESG initiatives.
AI may be used to support recruitment assessment unless the candidate opts out; final consideration includes human review.
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