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5 дней назад

Staff Software Engineer, Analytics and Reporting Solutions (AI)

Формат работы
hybrid
Тип работы
fulltime
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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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