Movable Ink Logo

Movable Ink

Senior Platform Engineer, Machine Learning

Posted 2 Hours Ago
Be an Early Applicant
Easy Apply
Hybrid
Toronto, ON, CAN
Senior level
Easy Apply
Hybrid
Toronto, ON, CAN
Senior level
Lead the evolution of the recommendations engine system into a scalable distributed architecture, ensuring production stability and performance while mentoring engineers and collaborating with ML teams.
The summary above was generated by AI
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.

The AI Systems team owns the core recommendations engine that powers billions of AI-driven marketing decisions daily across some of the world's largest consumer brands. As a Senior Distributed Systems Engineer, you will lead the evolution of this system into a modern, scalable distributed architecture - one of the most impactful technical initiatives at Movable Ink. This is an opportunity to do deep distributed systems work on a production system that directly drives revenue for our customers, while shaping the technical direction of a team working at the intersection of systems engineering and machine learning.

Responsibilities:

  • Lead the architectural evolution of the core recommendations pipeline to a modern distributed architecture, delivering incremental value while maintaining production stability
  • Design, build, and operate scalable, fault-tolerant backend services that power personalization at scale across content selection, send-time optimization, subject line personalization, and frequency capping
  • Identify and resolve performance bottlenecks, reliability risks, and scaling limitations across the system
  • Collaborate with ML engineers and product stakeholders to translate requirements into rigorous technical designs with a clear path to production
  • Own key system components end-to-end - from architecture and implementation to deployment, monitoring, and incident response
  • Champion engineering best practices around system design, code quality, testing, observability, and operational excellence
  • Mentor engineers and contribute to a culture of technical rigor, ownership, and continuous improvement

Qualifications:

  • 5+ years software engineering experience with a focus on distributed systems
  • Deep experience building and operating large-scale distributed systems that are fault tolerant, highly available, and highly concurrent
  • Exemplary software engineering skills (system design, unit testing, git, code review, CI/CD)
  • Strong foundation in Python
  • Experience with distributed data processing frameworks (e.g. Apache Spark, Apache Flink, Apache Beam); hands-on Spark experience is a plus
  • Practical understanding of distributed systems fundamentals: consensus, partitioning, replication, back-pressure, idempotency, and failure handling
  • Experience with a cloud provider e.g. AWS, Azure, GCP (we use Google Cloud Platform)
  • Experience with modern distributed and microservice technologies (we use Kubernetes, Kafka, and gRPC)
  • Familiar with Software Development Lifecycle practices, such as continuous integration/continuous delivery and automated deployment (we use Docker, Kubernetes, and GitHub Actions)
  • Strong technical leadership skills with the ability to collaborate effectively, advocate for sound architectural decisions, and mentor other engineers
  • Exceptional problem-solving skills, including the ability to efficiently identify, analyze, and resolve complex issues in production systems
  • A willingness and eagerness to continuously learn, adapt to evolving technologies, and strive for personal and professional improvement

The base pay range for this position is $143k-$200k CAD/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.

Top Skills

Apache Beam
Apache Flink
Spark
AWS
Azure
Docker
GCP
Github Actions
Google Cloud Platform
Grpc
Kafka
Kubernetes
Python

Movable Ink Toronto, Ontario, CAN Office

134 Peter Street, Suite 1603, Toronto, Ontario, Canada, M5V 2H2

Similar Jobs at Movable Ink

Yesterday
Easy Apply
Hybrid
Toronto, ON, CAN
Easy Apply
Senior level
Senior level
Artificial Intelligence • Marketing Tech • Software
The Senior Data Engineer will design and maintain streaming data pipelines, develop analytical databases, and ensure data system reliability while collaborating with teams across the organization.
Top Skills: Apache FlinkAWSCloudFormationElixirGCPKafkaKinesisPulsarPythonSQLTerraform
3 Days Ago
Easy Apply
Remote or Hybrid
Toronto, ON, CAN
Easy Apply
Senior level
Senior level
Artificial Intelligence • Marketing Tech • Software
The Engineering Manager will lead the Behavioral team to develop systems that turn customer signals into marketing triggers, ensuring scalable and reliable performance. Responsibilities include team growth, initiative delivery, and collaboration with multiple teams.
Top Skills: Asynchronous ProcessingEvent StreamingGoogle Cloud PlatformPub/Sub Systems
3 Days Ago
Easy Apply
Hybrid
Toronto, ON, CAN
Easy Apply
Mid level
Mid level
Artificial Intelligence • Marketing Tech • Software
The Product Security Engineer will implement security testing, manage vulnerabilities in codebases, and integrate security practices into CI/CD pipelines while collaborating with engineering teams.
Top Skills: DependabotGithub ActionsGoJavaScriptPythonRubySemgrepTrufflehogZap

What you need to know about the Toronto Tech Scene

Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account