Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Выше рынка
279к-341к CAD/год
170к CAD190к CADмедиана230к CAD
По похожим ролям (49) ~ 190к CAD/год
На СНГ рынке: $4.6к/мес ($3.6к - $6к)
91
Крутая вакансия
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Чёткая роль с ответственностью за ключевой платёжный продукт, серьёзным техническим масштабом и современным стеком; обязательный офисный формат ограничивает гибкость по локации.
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Офис дважды в неделюСовременный стекЧёткая зона ответственностиФинтех-направлениеЗарплата выше рынка
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Staff Software Engineer (Fintech): Architecting and evolving the Live Pay and EarnIn Card systems across authorization, ledgering, funding, settlement, reconciliation, credit reporting, and card management APIs with an accent on highly available, low-latency distributed payment systems. Focus on defining multi-year architecture, integrating banks and Visa, ensuring transactional correctness and regulatory compliance, and leading AI-powered engineering workflows.
Location: Vancouver, Canada; hybrid work requires in-person attendance at the Vancouver office 2 days per week
Canada base salary: $279,000–$341,000 per year, plus equity and benefits.
Company
hirify.global builds earned wage access and financial products that provide real-time financial flexibility, including spending, saving, and money-growth options.
What you will do
Own the technical vision, system architecture, and multi-year roadmap for Live Pay and the hirify.global Card.
Lead integrations with the core card platform, issuing banks, Visa, processors, and partner APIs or file-based interfaces.
Act as the final architectural authority, lead design reviews and technical RFCs, and drive complex initiatives across multiple teams.
Set standards for reliability, observability, SLOs, incident response, disaster recovery, capacity planning, and production readiness.
Mentor senior engineers, shape cross-company technical strategy, and lead responsible adoption of AI and agentic engineering workflows.
Requirements
8+ years of software engineering experience, with progression into Staff or Senior Staff technical leadership and architectural ownership.
Experience serving as a lead architect or technical authority for large-scale distributed systems and leading delivery across multiple engineering teams without direct authority.
Deep hands-on experience designing and operating highly available, low-latency backend systems, preferably in payments, banking, card, or other regulated environments.
Experience with card issuing, processing, authorization, processors, issuing banks, card networks, ledgering, balance management, settlement, reconciliation, or payment partner integrations.
Working knowledge of authorization and clearing flows, ISO 8583 or equivalent formats, certification, chargebacks, disputes, and PCI DSS-related compliance.
Experience designing consumer-facing backend services and APIs for onboarding, account management, or card management flows.
Strong understanding of idempotency, eventual consistency, exactly-once semantics, data integrity, and auditability in distributed systems.
Strong proficiency in Kotlin or another modern JVM language such as Java or Scala, plus REST APIs, SQL/NoSQL stores, Kafka or equivalent streaming platforms, Kubernetes, microservices, and event-driven architectures.
Experience with SLOs, observability, incident response, capacity planning, disaster recovery, production reliability, AI-assisted or agentic engineering workflows, and AI development tools.
Exceptional architectural judgment, strong written and verbal communication, and the ability to mentor senior technical talent and communicate with engineering, product, risk, and executive audiences.
Nice to have
Experience with credit reporting or consumer data furnishing, including Metro 2, accuracy controls, disputes, and corrections.
Experience in FinTech, payments, banking, or other compliance-sensitive environments.
Culture & Benefits
Full-time employment with equity and benefits.
AI-first engineering environment that encourages responsible use of AI tools with security, correctness, operational reliability, evaluation, and human-in-the-loop guardrails.
Collaborative work with Product, Design, Data Science, Risk, Security, Compliance, Finance, Infrastructure, and executive stakeholders.
Inclusive culture focused on diversity, belonging, and representation of the community served.
Hiring process
AI tools may be used during much of the interview process; disclose their use during live interviews and follow interviewer guidance.
Some career-history and past-experience interview rounds do not permit AI use.
hirify.global does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies.
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