Top Tech Jobs & Startup Jobs

Leads consulting engagements for global container terminals, advising executives on digital transformation, automation, and operational optimization. Audits marine, yard, gate, and landside workflows; improves vessel, yard, crane, and truck operations; and integrates TOS modules with automated equipment. Directs multidisciplinary teams, manages executive stakeholders, coaches control-room personnel, delivers training, and tracks KPIs including crane productivity, truck turnaround time, and yard density.

Support AI innovation and software development by researching coding assistants, building LLM, RAG, and agent prototypes, developing automation tools, testing applications, and documenting solutions. Assist with debugging, CI/CD, secure coding, vulnerability scanning, and responsible AI guidelines. The intern will also demonstrate AI tools, measure productivity gains, and collaborate with developers and architects on customer-focused projects.

Supports AI-enabled IT operations, infrastructure, cloud environments, automation, monitoring, security hardening, vulnerability scanning, access control, and technical documentation. The intern researches AIOps and LLM solutions, builds prototypes, scripts repetitive tasks, assists with Azure and AWS environments, and helps establish safe AI-use practices. The role includes mentorship, customer-environment exposure, and opportunities to develop skills in AI-enabled infrastructure and cloud technologies.

Supports enterprise software implementations for maritime and terminal operations customers. Responsibilities include system analysis, configuration, integration, issue verification, case creation in Salesforce, requirements analysis, test-case preparation, and AI-enabled consulting support. The intern communicates with customers and internal teams, manages assigned issues, contributes to project deliverables, and learns supply chain software, consulting practices, and approved AI tools under senior guidance.

Designs and manages AWS and Azure cloud infrastructure, infrastructure-as-code, CI/CD and GitOps pipelines, containerized applications, and production Kubernetes environments. Leads platform modernization, automation, observability, security, disaster recovery, and self-service initiatives. Collaborates with engineering and quality teams, maintains operational documentation, supports distributed systems, and mentors junior DevOps engineers.

Develop and maintain Java-based software while resolving escalated customer issues across frontend, backend, integration, and data layers. Responsibilities include designing and implementing roadmap features, debugging production problems, writing PostgreSQL queries, participating in agile ceremonies and code reviews, practicing test-driven development, supporting deployments, documenting solutions, and communicating with distributed teams.

Develop and maintain transportation and logistics software, analyze requirements, design application features, support existing products, and create user interfaces, algorithms, data structures, and automated tests. The intern will debug software, troubleshoot issues, communicate development progress across international teams, and collaborate on next-generation supply chain products.

Build lightweight web applications and REST APIs connected to transport analytics data systems. Query and transform warehouse data for analytical tools and operational dashboards, while experimenting with agentic AI, LLM integrations, and intelligent automation. Collaborate with product and business stakeholders to develop reliable solutions and rapidly prototype customer-impacting features. Success includes reducing costs, supporting revenue growth, and improving customer satisfaction through better performance and data visibility.

Supports product managers working on a Yard Management System by researching customer needs, analyzing workflows and product data, defining requirements and user stories, collaborating with Engineering and QA, participating in Agile ceremonies, creating documentation, conducting competitive research, and supporting feature metrics, demos, testing, and releases.

Contribute to a live Yard Management System through computer vision and OCR prototyping or backend feature development. Responsibilities include building and evaluating detection pipelines, benchmarking models, assessing edge deployment, implementing workflow and inventory features, writing tested code, participating in reviews, documenting work, and developing automation and integrations.