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Manage medium to large N4 implementation projects, defining scope, preparing budgets, tracking progress, and ensuring project quality while coordinating with stakeholders and resources.

Lead the design and delivery of ML and reinforcement learning solutions. Own end-to-end modeling initiatives and ensure responsible AI practices in logistics and supply chain products.

Lead end-to-end integrations between Kaleris YMS and customer systems (TMS, WMS, ERP). Conduct discovery, design integration architectures, configure staging/production, test and validate messages, analyze logs, troubleshoot production issues, and provide post-go-live support while coordinating with Cloud Ops, Engineering, Product, and Sales.

The Senior Software Engineer will design, develop, and maintain large-scale applications, focusing on secure and scalable distributed solutions. Responsibilities include feature ownership, collaboration with product management, and supporting cross-functional teams. Mentoring team members and participating in the software development lifecycle are also key components of the role.

The Software Engineer will design, develop, and maintain features for the Kaleris TMS platform, focusing on building Angular web applications and collaborating in an agile environment.

The Systems Engineer supports and maintains the end-user computing environment, providing Tier 1 and Tier 2 technical support, installing systems, and ensuring compliance with IT standards.

Coordinate and manage consulting projects for shipping and terminal operations. Track milestones, risks, budgets, and change management; manage client relationships; use PM tools; support TOS/Navis implementations; travel to client sites as required.

Lead and coach a sales team to achieve revenue targets, develop sales strategy and forecasts, manage key accounts, build relationships with customers and stakeholders, and collaborate with cross-functional teams to drive growth and pipeline development.

Design, build, and maintain production ML systems for logistics: end-to-end workflows (ingest, features, training, deployment), model serving/APIs, CI/CD automation, monitoring, drift detection, A/B testing, and collaboration with data scientists and product teams.

Lead configuration and administration of Workday HCM modules, manage security, business processes, integrations, and releases. Build reports and dashboards, enforce data governance, support HR and stakeholders, deliver training, and partner with IT, Payroll, and Finance on system alignment and projects.