Senior Backend Engineer: AI Systems & Scalable Architecture

Movable Ink; Toronto (OH); Remote; USD 102,000 - 143,000; Full time

Job summary

Movable Ink is seeking a Senior Backend Developer to lead the evolution of its core recommendations engine into a scalable distributed system. You will own architecture, build robust services for content personalization, and collaborate with ML teams to translate requirements into production-ready designs.

Ideal candidates will have 5+ years in distributed systems, deep Python skills, and hands-on experience with Spark, Kubernetes, Kafka, and modern SDLC practices.

Qualifications

• 5+ years in software engineering with a focus on distributed systems.
• Experience building large-scale distributed, fault-tolerant systems.
• Strong Python foundation.
• Experience with Spark, Flink, or Beam; Spark is a plus.
• Experience with AWS/Azure/GCP.
• Experience with Kubernetes, Kafka, and gRPC; Docker and GitHub Actions.
• SDLC, CI/CD, automated deployment experience.

Responsibilities

• Lead architectural evolution of the core recommendations pipeline to a modern distributed architecture.
• Design, build, and operate scalable backend services powering personalization at scale.
• Identify and resolve performance bottlenecks and scaling limits.
• Collaborate with ML engineers and product stakeholders to translate requirements into designs.
• Own components end-to-end—from architecture to deployment and incident response.
• Mentor engineers and promote engineering best practices.
• Champion observability and operational excellence.

Skills

Distributed systems expertise

Technical leadership

Problem solving

Mentoring

Tools

Python

Apache Spark

Apache Flink

Apache Beam

Docker

Kubernetes

Kafka

gRPC

Git

CI/CD

AWS

GCP

Job description

Movable Ink is seeking a Senior Backend Developer to lead the evolution of its core recommendations engine into a scalable distributed system. You will own architecture, build robust services for content personalization, and collaborate with ML teams to translate requirements into production-ready designs.

Ideal candidates will have 5+ years in distributed systems, deep Python skills, and hands-on experience with Spark, Kubernetes, Kafka, and modern SDLC practices.