Jobs at Kaleris

Lead multiple managed services teams to deliver SLAs across customers/regions. Oversee service quality, escalations, resource planning, AI-enabled analytics, performance management, and continuous improvement while driving customer satisfaction and operational efficiency.

The Customer Support Engineer will troubleshoot software applications, manage customer issues, and enhance the customer experience through effective communication and technical skills.

The Senior Customer Support Engineer is responsible for supporting software applications, managing customer cases, troubleshooting issues, and ensuring customer satisfaction through effective communication and technical guidance.

As a Software Engineer, you will participate in agile development, design implementation, troubleshoot issues, and collaborate with teams to enhance supply chain solutions.

Drive revenue by generating new business and expanding existing accounts through outbound and inbound outreach, qualifying leads, managing pipeline with CRM, supporting campaign execution with marketing, conducting discovery calls, and pursuing upsell opportunities within APAC accounts.

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.

No responsibilities or requirements are provided beyond the job title in the supplied description.

Lead architecture, design, and implementation of large-scale software systems; mentor engineers; drive technical strategy; ensure code quality and cross-functional collaboration.

Design, develop, and maintain software systems for intermodal operations; produce clean, scalable code; participate in architecture decisions; collaborate with cross-functional teams and mentor junior engineers.

Provide technical support and troubleshooting for enterprise software, manage customer cases to resolution, reproduce and isolate faults, participate in 24x7 on-call rotations and shift schedules, assist with account management and project go-lives, and set up customer environments for problem replication.

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.

The Product Manager oversees the railroad-centric applications, guiding products from conception to launch, optimizing cargo management workflows, engaging with customers, and working cross-functionally with teams.