6 дней назад
Backend Engineer
119 300 - 155 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Backend Engineer (Kafka/gRPC): Building behavioral intelligence services that correlate high-volume customer events and convert them into automated marketing triggers with an accent on stateful evaluation, temporal windows, and distributed systems reliability. Focus on designing scalable event-driven services, developing reusable rule-based trigger frameworks, and operating production systems with observability and idempotency.
Location: Toronto, Canada
Base pay: $119.3K–$155K per year, with potential additional bonus and benefits.
Company
provides data-activated content generation and AI decisioning solutions that help global brands personalize marketing and improve revenue and workflow efficiency.
What you will do
- Design and implement services that detect behavioral patterns, correlate customer signals across time windows, and determine trigger eligibility.
- Build stateful systems for evaluating multi-event intent, incomplete actions, and state-change-driven triggers.
- Deliver complex backend features from technical design through implementation, testing, deployment, and production support.
- Develop reusable declarative or rule-based capabilities for defining and extending behavioral triggers.
- Integrate behavioral signals with campaign orchestration and message delivery systems in collaboration with Product and Engineering.
- Maintain operational excellence through metrics, traces, logs, alerts, reliability practices, and shared on-call support.
Requirements
- 3+ years of professional software engineering experience building and operating backend or platform systems in production.
- Experience designing and operating distributed, event-driven, or high-scale backend systems.
- Hands-on experience with stateful services, real-time decisioning, asynchronous processing, reliability, and production operations.
- Proficiency with Kafka and gRPC, plus experience with high-performance analytics databases such as ClickHouse.
- Understanding of partitioning, retries, duplicate events, ordering, idempotency, backfills, and data consistency tradeoffs.
- Experience building scalable backend services in GCP or AWS, with monitoring, alerting, logging, and incident response.
Nice to have
- Experience with Rust or Elixir.
- Experience with a Customer Behavioral Tracking SDK.
Culture & Benefits
- Collaborative, product-minded work focused on balancing technical quality with customer value.
- Opportunity to work on behavioral intelligence, automated marketing triggers, and distributed platform systems.
- Medical, financial, and other benefits are included.
- Commitment to an inclusive and diverse workplace.
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