Staff Software Engineer, Analytics and Reporting Solutions (AI)
Контакты
Формат работы
hybrid
Тип работы
fulltime
Английский
b2
Страна
Canada
aipythongokubernetesdockergcpmicroservicesdistributed systems
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Чётко описанная роль уровня Staff сочетает техническое лидерство с современной работой в сфере данных и AI в продуктовой компании, давая возможности влиять на платформу и развиваться.
Современные технологии
AI и аналитика
Широкое влияние
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Staff Software Engineer, Analytics and Reporting Solutions (AI) (Python/Go, GCP, Kubernetes): Building scalable analytics, reporting, and AI-driven data intelligence services for a SaaS platform with an accent on distributed systems, data quality, security, and operational reliability. Focus on shaping platform architecture, leading complex system initiatives, mentoring engineers, and optimizing services for large-scale workloads across millions of users.
Location: Toronto, Canada; hybrid workplace
Company
hirify.global builds SaaS solutions that turn platform data into actionable insights and improve how people experience work.
What you will do
Design, build, and evolve analytics, reporting, and AI-driven data intelligence capabilities for large-scale workloads.
Architect and operate scalable, highly available, secure, and maintainable backend services.
Lead technical direction, architectural decisions, and end-to-end delivery of critical services and initiatives.
Collaborate with product managers, designers, and engineering teams to define requirements and align platform direction.
Mentor engineers, establish engineering standards, and improve practices through reviews, documentation, automation, and tooling.
Monitor and optimize application performance, reliability, scalability, observability, and security.
Requirements
Bachelor’s or master’s degree in computer science or a related field.
9+ years of professional software development experience, including leading the design and delivery of complex software systems.
Experience with Agile development and effective cross-functional collaboration.
Deep experience designing, building, and operating distributed systems and microservice architectures at scale.
Ability to drive architectural decisions, influence technical direction, and lead initiatives across teams.
Strong hands-on experience with Kubernetes, Docker, cloud-native technologies, and public cloud platforms, preferably Google Cloud Platform.
Expert-level proficiency in Python, Go, or similar modern programming languages.
Experience with validation frameworks, automated testing strategies, and data quality controls for software and data products.
Excellent written and verbal communication skills, including the ability to explain complex technical concepts to diverse audiences.
Nice to have
Experience with AI-assisted development tools, knowledge-driven engineering practices, and modern software delivery methodologies.
Culture & Benefits
Full-time permanent employment in a hybrid workplace.
Close-knit, no-ego, high-performing engineering team.
Mentorship and career growth supported by experienced leadership.
Fast-paced, high-growth environment where innovation and employee input are encouraged.
Inclusive and accessible recruitment process with interview accommodations available on request.
Equal opportunity workplace committed to diversity and inclusion.
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