Senior Backend Engineer, Growth

EvenUp EvenUp · Vertical AI · Toronto, ON · Hybrid · Engineering

Senior Backend Engineer, Growth role focused on scaling the company's AI-powered platform by building reliable, scalable backend systems that support user acquisition, activation, engagement, and retention. The role involves designing, developing, and optimizing backend systems, leading framework development, and collaborating cross-functionally with Product, Data, and Engineering teams. Experience with Python, Go, Java, or C++, distributed systems, cloud infrastructure (AWS, Kubernetes, Docker, Terraform), and modern engineering practices is required. Familiarity with AI/ML systems, data pipelines, and experimentation tooling is a bonus.

What you'd actually do

  1. Design, develop, and optimize robust backend systems that support growth-focused initiatives, ensuring reliability and performance at scale.
  2. Work closely with Product, Data, and Engineering teams to interpret growth and experimentation requirements and deliver high-quality, scalable solutions.
  3. Lead the development of backend frameworks, libraries, and systems that enable experimentation, controlled rollouts, and measurable business impact.
  4. Collaborate with engineers on challenging backend problems, including data processing, experimentation frameworks, infrastructure, and integrations with large-scale AI/ML systems.
  5. Help build and reinforce the engineering culture in Toronto by sharing best practices, mentoring teammates, and maintaining a high bar for quality in a fast-paced environment.

Skills

Required

  • backend engineering
  • distributed systems
  • Python
  • Go
  • Java
  • C++
  • scalable backend systems
  • reliable backend systems
  • APIs
  • high-performance environments
  • startup environments
  • high-growth environments
  • test-driven development
  • code reviews
  • deployment pipelines
  • cloud infrastructure
  • AWS
  • Kubernetes
  • Docker
  • Terraform
  • problem-solving
  • communication skills
  • mentoring junior engineers

Nice to have

  • growth-focused teams
  • experimentation-driven teams
  • AI/ML systems
  • generative AI
  • data-intensive applications
  • data pipelines
  • analytics platforms
  • experimentation tooling
  • scaling backend systems

What the JD emphasized

  • AI-powered platform
  • large-scale AI/ML systems