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The Midlevel QA Engineer at Cargomatic will develop, execute, and maintain test plans for React and Node.js applications while performing manual and automated testing across various systems. They will collaborate with cross-functional teams, identify software defects, and contribute to improving QA methodologies. A focus on API validation and performance testing is essential.

As a Regional Sales Hunter, you will drive revenue growth and market share by acquiring new large and enterprise customer accounts through consultative sales efforts. You will be responsible for creating and executing a business plan to exceed sales quotas while maintaining strong customer relationships. The role involves a high amount of travel and partnership with customer support and operations teams.

The Pricing Specialist manages and analyzes drayage pricing for import and export loads, ensuring competitiveness and profitability. Responsibilities include quoting rates, analyzing bids with spreadsheets, managing vendor pricing negotiations, and providing timely customer quotes while handling a high volume of emails.

As an Operations Representative, you will be the primary contact for customers, managing communications, enhancing customer experience through collaborations with various stakeholders, and improving operational processes while ensuring key metrics are met.

As a Senior RPA Developer at Cargomatic, you will analyze and propose solutions for process improvements, implement RPA governance and best practices, test automation solutions, and troubleshoot issues post-deployment. This role involves direct collaboration with product managers and business users, focusing on utilizing RPA tools and integrating with external systems to enhance operational efficiency.

As a DevOps Engineer at Cargomatic, you'll build and optimize tools and infrastructure, automate release processes, enhance system security, and collaborate with development teams to facilitate seamless workflows. You will also engage in project management decisions to drive operational efficiency.

The Data Scientist will build and manage dashboards for financial insights, analyze financial data trends, support FP&A efforts, collaborate across departments, and develop data models for forecasting. They will be responsible for transforming complex data into actionable insights for financial decision-making.