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Movable Ink

Backend Engineer

Toronto, ON, Canada

Job type: Full-time
Apply by: Oct 30, 2026
Experience: 3+ years of professional software engineering experience, with a solid track record of building and operating backend or platform systems in production.
Posting language: English
Posted: Sep 30, 2026

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Original job description

Movable Ink scales content personalization for marketers through data-activated content generation and AI decisioning. The world’s most innovative brands rely on Movable Ink to maximize revenue, simplify workflow and boost marketing agility. Headquartered in New York City with close to 600 employees, Movable Ink serves its global client base with operations throughout North America, Central America, Europe, Australia, and Japan.

We’re looking for a Mid-Level Software Engineer to join the Behavioral team, responsible for turning raw customer signals into meaningful marketing triggers. This team builds the behavioral intelligence layer of our platform - systems that detect patterns in customer activity and inactivity (such as cart abandonment, price drops, or loyalty milestones) and translate them into automated messaging opportunities.

This is a hands-on role where you will contribute to the architecture and implementation of critical platform capabilities. You’ll design robust systems, write high-quality code, and ensure our services are scalable, reliable, and maintainable.

You’ll work on challenging distributed systems problems involving high-volume event data, event correlation, temporal windows, stateful evaluation, trigger eligibility, account-specific readiness, idempotency, reliability, observability, and downstream activation. The systems you help build will power use cases like cart abandonment, browser abandonment, checkout abandonment, price drops, back-in-stock alerts, loyalty milestones, replenishment reminders, and audience membership changes.

You will report to the Behavioral Team Engineering Manager in this role.

What You’ll Do

Contribute to Behavioral Platform Design and Implementation: Design and implement services that detect behavioral patterns across events, correlate signals across time windows, and determine trigger eligibility.
Build Systems with Stateful Context: Build systems that maintain the behavioral state and lookback windows needed to evaluate patterns such as “action without completion”, multi-event intent signals and state-change-driven triggers.
Own Feature Delivery: Act as a responsible hands-on contributor who delivers complex backend features from technical design through implementation, testing, deployment, and production support.
Establish a Reusable Pattern Framework: Develop declarative or rule-based capabilities that allow new behavioral triggers to be defined, configured, evaluated, and extended efficiently.
Partner Across the Platform: Collaborate with Product and engineering teams to ensure behavioral signals integrate cleanly into campaign orchestration and message delivery systems.
Drive Operational Excellence: Ensure Behavioral services operate reliably at scale. Use observability, metrics, traces, logs, and alerts to maintain system quality and shared on-call responsibilities.

What You Bring

3+ years of professional software engineering experience, with a solid track record of building and operating backend or platform systems in production.
Solid experience designing and operating distributed, event-driven, or high-scale backend systems.
Hands-on experience building stateful services, real-time decisioning, asynchronous processing, system reliability, and production operations.
Proficiency with Kafka and gRPC for event streaming and microservices communication.
Experience with high-performance analytics databases like ClickHouse.
Understanding of distributed systems concerns such as partitioning, retries, duplicate events, ordering, idempotency, backfills, and data consistency tradeoffs.
Hands-on experience building scalable backend services in cloud environments like GCP and AWS.
A strong focus on operational excellence - building reliable systems with monitoring, alerting, logging, and incident response.
Collaborative, product-minded approach: balancing technical quality with customer value.

Nice to have:

Experience with Rust or Elixir.
Experience with Customer Behavioral Tracking SDK.

The base pay range for this position is $119.3 - $155K/year, which can include additional bonus depending on the position ultimately offered, in addition to a full range of medical, financial, and/or other benefits. The base pay offered may vary depending on job-related knowledge, skills, and experience.

Studies have shown that women, communities of color, and historically underrepresented people are less likely to apply to jobs unless they meet every single qualification. We are committed to building a diverse and inclusive culture where all Inkers can thrive. If you’re excited about the role but don’t meet all of the abovementioned qualifications, we encourage you to apply. Our differences bring a breadth of knowledge and perspectives that makes us collectively stronger.

We welcome and employ people regardless of race, color, gender identity or expression, religion, genetic information, parental or pregnancy status, national origin, sexual orientation, age, citizenship, marital status, ethnicity, family or marital status, physical and mental ability, political affiliation, disability, Veteran status, or other protected characteristics. We are proud to be an equal opportunity employer.

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More about this job

Responsibilities

Design and implement backend services that detect behavioral patterns across events, maintain state and lookback windows, and determine eligibility for automated marketing triggers. Deliver features from design through production support, build reusable trigger frameworks, integrate with campaign and messaging systems, and maintain reliability through observability and operational practices.

Requirements

Requires 3+ years of software engineering experience building and operating production backend or platform systems, with experience in distributed or event-driven systems, stateful services, and production operations. Candidates should be proficient with Kafka and gRPC, have experience with analytics databases and cloud platforms such as GCP or AWS, and understand reliability concerns including retries, ordering, idempotency, and data consistency.

Skills

Backend Engineering
Distributed Systems
Event-Driven Systems
Kafka
gRPC
ClickHouse
Stateful Services
Real-Time Decisioning
Asynchronous Processing
Cloud Computing
GCP
AWS
System Reliability
Observability
Rust
Elixir

Benefits

Medical Benefits
Financial Benefits

Visa sponsorship

Not detected in the job text

Keywords

Behavioral Intelligence
Customer Signals
Marketing Triggers
Distributed Systems
Event-Driven Architecture
High-Volume Event Data
Event Correlation
Temporal Windows
Stateful Evaluation
Trigger Eligibility
Idempotency
Kafka
gRPC
ClickHouse
Microservices
Asynchronous Processing
Real-Time Decisioning
GCP
AWS
Observability
Metrics
Tracing
Logging
Alerting
Incident Response
Rust
Elixir
Campaign Orchestration
Customer Behavioral Tracking SDK

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