Назад
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14 часов назад

Staff Engineer (Platform, AI)

175 000 - 250 000$
Формат работы
remote (только United_states/Canada)/hybrid
Тип работы
fulltime
Английский
b2
Страна
US/Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Staff Engineer (Platform): Designing and building scalable, secure service architectures for an AI-powered influencer marketing platform with an accent on distributed systems, cloud infrastructure, and backend service development. Focus on mentoring engineering teams, optimizing platform performance, and integrating AI/ML features into production systems.

Location: Must be based in the US (Boston, MA) or Canada (Vancouver, BC). Role is open to hybrid or remote work within these regions.

Salary: $175,000–$250,000 USD (US) or $170,000–$200,000 CDN (Canada).

Company

hirify.global is an AI-powered influencer marketing platform that provides brands with trusted intelligence and expert guidance to drive growth through creator relationships.

What you will do

  • Design scalable, maintainable, and secure service architectures for the platform.
  • Build backend services using C# or TypeScript for web and background worker applications.
  • Manage cloud infrastructure on AWS using Docker and Kubernetes.
  • Implement and maintain CI/CD pipelines and Infrastructure as Code.
  • Mentor junior team members and elevate engineering standards across the organization.
  • Collaborate with product managers and cross-functional teams to define project scope and deliver platform solutions.

Requirements

  • 7+ years of professional software development experience with a focus on distributed systems.
  • Must be based in the US or Canada.
  • Proficiency in typed, functional programming (Haskell, Scala, C#, or TypeScript).
  • Strong experience with SQL (PostgreSQL preferred) and NoSQL databases.
  • Expertise in Docker, Kubernetes, and AWS cloud environments.
  • Solid understanding of DevOps practices, security best practices, and performance optimization.

Nice to have

  • Experience or strong interest in AI/ML applications in production systems.
  • Proven track record of driving architectural decisions in complex problem spaces.

Culture & Benefits

  • Market-based and data-driven compensation approach.
  • Commitment to an inclusion-first mindset and diverse work environment.
  • Eligibility for comprehensive benefits plans for permanent team members.
  • Focus on growth, accountability, and collaborative engineering culture.

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