Top Internships

Develop and maintain scalable software and AI-enabled solutions across the product lifecycle. Collaborate with agile product teams, build full-stack and cloud-native capabilities, implement CI/CD, automated testing, observability, and DevOps practices, and contribute to responsible AI development. Own production reliability through monitoring, incident response, root cause analysis, and continuous improvement while reducing technical debt and sharing engineering best practices.

Collects, processes, and analyzes moderately complex datasets to identify trends and actionable insights. Builds and maintains automated reports, dashboards, and data visualizations; performs statistical analysis and validation; improves reporting processes; and collaborates with cross-functional, technology, and data engineering teams to ensure data accuracy and support business decisions.

Leads end-to-end management of major IT incidents, coordinating infrastructure, application, network, security, cloud, vendor, and support teams. Establishes command during critical disruptions, drives service restoration, communicates with executives and stakeholders, maintains ITIL-aligned incident processes, facilitates post-incident reviews, analyzes trends and SLA performance, and drives continuous operational improvement in a complex enterprise environment.

Designs, develops, tests, documents, and supports integration solutions using Dell Boomi. Collaborates with product and engineering teams, automates deployments via AtomSphere and CI/CD, debugs issues, participates in code reviews, and improves development and deployment processes.

Owns complex ERP application changes from technical refinement through production support. Responsibilities include application configuration, advanced development, testing, deployment, incident resolution, observability, troubleshooting, user support, stakeholder collaboration, and vendor management. The role also supports incremental modernization, SAP HANA and data solutions, CI/CD practices, production reliability, and global business operations.

Designs, develops, maintains, and improves scalable software applications and systems. Leads AI adoption across software deployment automation, collaborates with product and engineering teams, troubleshoots complex issues, participates in code reviews, and documents applications and deployment processes. Creates training, demonstrations, workshops, playbooks, reusable patterns, and use cases to help engineering teams and business stakeholders adopt AI solutions.

Leads application development and support teams responsible for configuring, integrating, testing, deploying, and maintaining enterprise software. Manages application incidents, user requests, performance improvements, vendor relationships, and team development. Participates in implementing ServiceNow S2PO for sourcing, procurement, and case management, while coordinating integrations with SAP, non-SAP ERPs, data platforms, and third-party systems.

Leads Cargill’s enterprise AI platform strategy, architecture, roadmap, governance, and operations. Directs engineers building scalable, reusable AI capabilities and establishes standards for responsible, secure, and ethical AI adoption. Partners with business and technology leaders to align AI investments with organizational priorities, advises on AI readiness, manages vendors and budgets, and develops workforce capabilities. Oversees federated teams while fostering productivity, accountability, coaching, and an inclusive culture.

Leads the design, development, testing, deployment, and support of sophisticated trading software. Integrates real-time market data, ensures high performance and reliability for high-frequency trading, develops comprehensive test plans, conducts code reviews, debugs complex issues, mentors engineers, supports live systems, and drives continuous improvement, documentation, and disaster recovery planning.

Maintains network and hosting infrastructure through performance monitoring, troubleshooting, incident response, protocol analysis, configuration, deployment, and security implementation. Documents issues, coordinates with vendors and technical teams, supports backup and disaster recovery planning, contributes to infrastructure projects, and develops automation scripts. Requires at least two years of relevant experience, with technical IT support experience preferred. Travel may be required up to 25%.