At Quarterback Transportation we believe that people make the difference. We are looking for professional, hardworking, outgoing individuals to join our team.

By joining Quarterback Transportation, you have the opportunity to learn from an industry leader where you will gain knowledge and skills to help you get to the next level.

We are looking for an outgoing, determined, and driven Customer Service Representative to join our expanding team!

Who Are We?

Quarterback Transportation is a fast growing freight brokerage and third party logistics provider with offices in Toronto, ON, and Cincinnati, OH. We have been considered one of GROWTH 500’s fastest growing companies for the past five years. We specialize in truckload shipments of dry, specialized, and temperature controlled products across North America. Our team is made up of dynamic, friendly, fun, risk taking people who want to help us continue our growth into the future!

The Role:

We are seeking an Integration DevOps Engineer to accelerate the digital transformation of our freight brokerage operations. This role combines expertise in system integration, automation, and AI-driven decision intelligence to create seamless workflows, reduce manual effort, and empower our teams with smarter, faster insights.

The ideal candidate will lead the integration and automation of our core brokerage workflows (order ingestion, track & trace, invoicing) by orchestrating TMS/CRM/ERP and external carrier systems via APIs/EDI, with production-grade monitoring and exception handling. Stand up a pragmatic data/BI layer for actionable ops insights, then layer in decision support (rules first, targeted predictive next). Partners with vendors where advantageous; prioritize business outcomes over custom builds.

Responsibilities & Duties:

Automation & Workflow Integration

• Design and implement end-to-end automated workflows that connect TMS, CRM, financial systems, and external platforms (carriers, shippers, load boards).
• Develop or integrate rule-based and AI-driven automations to reduce repetitive tasks such as order entry, tracking, document processing, and invoice reconciliation.
• Select, evaluate, and operationalize predictive models
• Ensure integrations are scalable, reliable, and error-resilient, with built-in monitoring and exception handling.
• Own orchestration, monitoring, and exception management with SLAs

Intelligent Systems & Decision Support

• Build and maintain decision intelligence systems that provide real-time recommendations on carrier selection, rate negotiation, and load prioritization.
• Develop predictive and prescriptive analytics models to support operational decision-making (ETA forecasting, pricing optimization, capacity planning).
• Integrate external intelligence sources (market rates, capacity trends, fuel indexes) into operational dashboards.
• Partner with business leaders to design AI-driven decision support systems that improve efficiency and profitability.

Data & Insights

• Create and manage data pipelines to collect, transform, and distribute operational data across systems.
• Deploy and maintain dashboards and analytics tools that deliver actionable insights to sales, operations, and leadership.
• Collaborate with data science teams to refine ML models and embed them into day-to-day decision workflows.

Collaboration & Continuous Improvement

• Work cross-functionally with operations, finance, sales and customer service teams to identify bottlenecks and automation opportunities.
• Document integration architectures, decision models, and workflows for scalability and reusability.
• Stay ahead of trends in AI, RPA, and decision intelligence technologies relevant to logistics and supply chain

Qualifications:

• Bachelor’s degree in computer science, Data Science, or related field (or equivalent experience)
• 5–8 years of experience in systems integration, automation, or intelligent systems development.
• Proficiency with APIs (REST, SOAP), EDI standards (204, 210, 214, 990, 997), and ETL pipelines.
• Strong programming skills in one of more of Python, C#, or Java, with experience in automation frameworks and AI/ML libraries.
• Knowledge of decision intelligence platforms, decision support systems, or optimization engines.
• Experience integrating at least one of TMS platforms (Uber, MercuryGate, Trimble) and logistics technology ecosystems.
• Experience with RPA tools (UiPath, Power Automate, Automation Anywhere) and workflow orchestration.
• Familiarity with applied decisioning (rules + basic predictive) and ability to embed into workflows; deep ML experience is a plus.
• Understanding of predictive analytics, optimization, and AI-driven recommendation systems.

Preferred Skills

• Experience in freight brokerage, logistics, or supply chain technology an asset.

• Familiarity with cloud-based AI/automation platforms (AWS, Azure, GCP).

• Background in business rules engines, expert systems, or decision modeling (DMN, BPMN).

• Exposure to intelligent document processing (OCR, NLP) and conversational AI for customer/carrier interactions.

Perks of working at Quarterback:

• Competitive compensation package

• Growing, fast-paced company with opportunity for advancement

• Hybrid Model (3 days in office)

Competitive base salary plus uncapped commission. We are looking for a driven, team player with a desire to succeed!

Quarterback Transportation is an equal opportunity employer committed to diversity and inclusion. Quarterback Transportation will accommodate the needs of applicants with disabilities throughout all stages of the selection process. If you need accommodation during the recruitment process, please advise your Talent Acquisition Representative.