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Provide technical support for Navis software applications, troubleshoot customer system issues, manage case communications, and engage in account management activities.

The Senior Systems Engineer will oversee data center infrastructure, manage Pure Storage and Cohesity environments, ensure system reliability, and mentor junior engineers.

Lead development of agentic AI systems, mentor engineers, and drive projects utilizing LLMs and orchestration frameworks. Manage AI model lifecycle and collaborate with stakeholders.

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.

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 Principal Architect will lead the N4 platform architecture, ensure high availability, perform hands-on software engineering, and mentor teams. Responsibilities include distributed systems mastery, database administration, UI development, and integration of analytics and AI solutions.

The Director of Engineering will lead and mentor a development team, oversee SaaS product delivery, and drive technical excellence in a fast-paced environment.

Lead architecture and delivery of scalable ML/RL platforms, establish data quality and observability, optimize production workflows, run technical reviews, translate business goals into model objectives, and mentor engineers and data scientists.

As an AIML Software Engineer, you will design and maintain ML systems, manage workflows, automate CI/CD, and collaborate with teams to enhance decision-making in logistics and supply chains.