Lead Backend Engineer, Behavioural Team

This is a fully remote position, open to applicants in Canada.

📋 Description

• Establish the technical vision, system boundaries, and architecture for services that convert customer activity signals into actionable trigger events.

• Actively participate in system design, implementation, code reviews, debugging, and production support.

• Design and implement behavioral decision-making services that identify patterns, correlate signals over time, and assess trigger eligibility.

• Architect systems that maintain short-lived behavioral states and lookback periods.

• Develop reusable declarative or rule-based frameworks for defining and assessing behavioral triggers.

• Offer technical guidance, assist engineers in overcoming obstacles, review designs and code, and mentor team members.

• Collaborate with Engineering Management and Product teams to formulate technical plans, milestones, and incremental delivery strategies.

• Work alongside engineering teams to integrate behavioral signals into campaign orchestration and message delivery systems.

• Ensure the reliable functioning of high-volume Behavioral services through observability, metrics, traces, logs, alerts, and postmortems.

• Represent the Behavioral team in architecture discussions and shape the broader technical direction.

• Report directly to the Senior Director of Engineering.

⛳️ Requirements

• Over 7 years of professional software engineering experience.

• Proven history of building and managing backend or platform systems in a production environment.

• Extensive experience in designing and operating distributed, event-driven, or high-scale backend systems.

• Strong architectural judgment regarding stateful services, real-time or near-real-time decision-making, asynchronous processing, system reliability, and production operations.

• Hands-on technical leadership experience, including unblocking issues, reviewing work, mentoring, and leading complex technical initiatives from start to finish.

• Ability to translate ambiguous product objectives into practical technical designs and incremental execution plans.

• Familiarity with high-volume event data systems, event stream processing, behavioral analytics, pub/sub systems, workflow systems, rule engines, or decisioning engines.

• Solid understanding of retries, duplicate events, ordering, late-arriving data, idempotency, backfills, partial failures, tenancy, and data consistency trade-offs.

• Experience in creating scalable backend services in cloud environments, preferably Google Cloud Platform.

• Proficient in monitoring, alerting, logging, tracing, incident response, and on-call responsibilities.

• Excellent communication skills with the ability to translate technical trade-offs into actionable decisions with Product, Design, engineering partners, and business stakeholders.

• Collaborative and product-oriented approach to platform engineering.

🏝️ Benefits

• Additional bonus based on the position ultimately offered.

• Comprehensive medical benefits.

• Financial benefits.

• Additional perks and benefits.