2 дня назад
Staff Backend Engineer (Applications)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Backend Engineer (Applications) (Java/Spring Boot, Django, PostgreSQL): Designing and scaling backend services for enterprise sales compensation workflows with an accent on data modelling, hierarchical and graph-like structures, and deterministic system behavior. Focus on driving architectural decisions, improving reliability and observability, and translating complex product requirements into maintainable distributed systems.
Location: Toronto, Canada
Company
is a Series B startup building enterprise software for sales compensation management, sales intelligence, and sales performance optimization.
What you will do
- Design and evolve backend services that power customer-facing product workflows.
- Architect data models for hierarchical structures, graph-like relationships, and large-scale enterprise datasets.
- Drive architectural decisions balancing extensibility, performance, reliability, and operational simplicity.
- Improve observability, testing strategy, scalability, and production reliability across backend services.
- Partner with Product to translate complex business requirements into clean, scalable designs.
- Mentor engineers and raise backend engineering standards through technical leadership and design guidance.
Requirements
- Significant experience designing and building complex backend systems in production.
- Production-grade experience with at least one backend language such as Python, Java, Kotlin, Go, or C#.
- Strong knowledge of relational schema design, data modelling, and SQL.
- Experience with hierarchical, graph-like, or relationship-heavy data structures.
- Track record of improving scalability, reliability, and observability in distributed or data-intensive systems.
- Strong written and verbal communication skills, with the ability to influence architecture and product direction.
Nice to have
- Experience building SaaS products for mid-market or enterprise customers.
- Experience with rule-driven systems, validation workflows, or approval and governance platforms.
- Familiarity with graph databases or graph-based modelling.
- Familiarity with AWS-based infrastructure and Kubernetes.
- Exposure to Sales Performance Management, RevOps, Incentive Compensation, or related domains.
Culture & Benefits
- Collaborative, detail-oriented environment across Engineering, Product, and Analytics.
- Low-meeting culture with a high degree of ownership and accountability.
- Employee stock ownership plan.
- Medical, dental, vision, disability, and life insurance, plus paid parental leave.
- $750 yearly training stipend and opportunities for individual-contributor or people-leadership growth.
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