Staff Engineer (Platform, AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
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
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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