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18 часов назад

Staff Backend Engineer (Data Platform)

Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
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 Backend Engineer (Data Platform) (Spark/backend data platform): Building and evolving backend services and data models for a rules-based sales commission platform with an accent on hierarchical and graph-like enterprise data, reliability, and scalable architecture. Focus on designing deterministic data-intensive systems, surfacing architectural risks, improving observability and performance, and mentoring engineers.

Location: Toronto, Canada; most of the team works in the EST time zone, with some members in PST and Central time zones.

Company

hirify.global is a Series B startup building a SaaS platform for designing, managing, and optimizing sales compensation and processing billions in annual managed commissions.

What you will do

  • Design and evolve backend services powering product workflows.
  • Lead development of complex features for the Spark-based data platform.
  • Architect data models for hierarchical, graph-like, relationship-heavy, and large-scale enterprise datasets.
  • Build deterministic, reliable systems and improve scalability, observability, testing, and production reliability.
  • Drive architectural decisions balancing extensibility, performance, and operational simplicity while partnering with Product.
  • Mentor engineers and raise backend engineering standards through technical guidance and design reviews.

Requirements

  • Significant experience designing and building complex backend systems in production.
  • Expertise in at least one production-grade backend language, such as Python, Java, Kotlin, Go, or C#.
  • Strong foundation in relational schema design, data modelling, and SQL.
  • Experience with Spark or other ETL tools and frameworks.
  • Experience working with hierarchical, graph-like, or relationship-heavy data structures.
  • Ability to reason about architectural risks and improve scalability, reliability, and observability in distributed or data-intensive systems.

Nice to have

  • Experience with graph databases or graph-based modelling.
  • Experience building SaaS products for mid-market or enterprise customers.
  • Experience with rule-driven systems, validation workflows, or approval and governance platforms.
  • Familiarity with AWS infrastructure and Kubernetes.
  • Exposure to Sales Performance Management, RevOps, Incentive Compensation, or related domains.

Culture & Benefits

  • Low-meeting, high-accountability engineering environment.
  • Medical, dental, vision, disability, and life insurance.
  • Paid parental leave and employee stock ownership plan.
  • $750 annual training stipend.
  • Opportunities for growth as an individual contributor or people leader.

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