Jobs at Caterpillar

Lead the technical direction and delivery of eCommerce search platforms, mentor search engineers, implement advanced features (NLP, vector search, personalization), measure and optimize search KPIs, collaborate with product, data science, and engineering teams, and ensure scalable, highly available search systems.

Lead design, development, testing and deployment of backend RESTful microservices on cloud (AWS/Azure). Mentor developers, perform code reviews, resolve complex technical issues, drive feature delivery, maintain software quality, document designs, and lead Agile cross-functional teams.

Lead development and deployment of Generative AI solutions using Python and OOP; build services with FastAPI; implement CI/CD via GitHub Actions; deploy on AWS with CloudFormation and AWS services; use frameworks like LangChain, LangGraph, Semantic Kernel, and Crew.ai; collaborate with data scientists to productionize ML pipelines and support Airflow orchestration.

Architect and deliver scalable technology solutions for PSLD outbound transportation and Equipment Processing Centers. Partner with business owners and development teams to design integrations, modernize applications, analyze processes and data, define architecture roadmaps, and provide technical leadership throughout solution lifecycles.

Coordinate vendor management, contract administration, technology purchasing, software licensing, and service delivery activities. Support contract negotiations, compliance, vendor evaluation, issue resolution, project tracking, stakeholder communication, and continuous improvement of service delivery processes across procurement, legal, IT, and vendor teams.

Lead enterprise data foundation and readiness for AI and analytics by establishing standards, reusable frameworks, and engineering practices for data quality, lineage, observability, feature management, and production readiness. Build and coach analytics engineering teams, drive adoption of data contracts and MLOps, partner with stakeholders to accelerate AI delivery, and measure maturity and operational reliability across data products.

Lead design, development, testing and deployment of backend microservices and RESTful APIs on a cloud platform (AWS). Provide technical leadership, mentor developers, perform code reviews, drive high-quality software delivery, and contribute to Agile cross-functional teams.

Own and prioritize the technical product backlog, define epics and features, create acceptance criteria and roadmaps, collaborate with engineering, data and platform architects, engage stakeholders and customers, make release decisions, and maximize product and enterprise value for software products and APIs.

Lead technical development and deployment of generative-AI and ML models for condition monitoring and predictive maintenance. Design GPU-accelerated anomaly detection and digital twins, optimize deep learning for NVIDIA GPUs, enable edge/Jetson deployments, integrate multi-modal telematics data, build RAG-enabled LLM diagnostics, and lead cross-functional projects and stakeholder communications.

Develop and maintain secure, scalable web applications using React/Next and Python. Design backend services, APIs, and microservices. Deploy and manage solutions on Azure (Functions, App Services), build CI/CD pipelines with Azure DevOps, and use IaC (ARM/Bicep/Terraform). Implement containerized architectures (Docker, Kubernetes), ensure code quality via testing and reviews, troubleshoot performance, and collaborate with cross-functional teams to deliver business value.

Create and refine Online Description (OD) content and visualizations for Leads and Prioritized Action Lists. Translate business and dealer input into product requirements, user stories, and backlog items. Partner with UX, engineering, product, and adoption teams to design, test, and deliver features. Evaluate OD content and user flows for usability and business alignment, support UAT, validate deliverables, coordinate content updates and translations, and ensure readiness for release.

Lead cross-functional analytics projects in electrification and aftermarket analytics. Apply advanced statistics and machine learning to build forecasts, perform large-scale data wrangling, engineer features, and deliver decision-ready visualizations. Mentor junior scientists, drive technical direction, and translate domain signals into actionable insights for product and business stakeholders.

Lead the development of Caterpillar's ERP and Dealer Integrations. Oversee implementation, manage a team of developers, and ensure quality and performance standards are met.

Design end-to-end UX and high-fidelity UI for Prime Online products. Create wireframes, prototypes, and pixel-perfect designs; apply design system and accessibility standards; collaborate with product, engineering, and research; iterate based on user feedback and analytics to deliver scalable, production-ready experiences.

Lead enterprise-scale data architecture design and solutioning. Create target-state blueprints, conceptual/logical data models, system data flows, and guide transition plans. Partner with engineering and product teams to deliver interoperable data products and accelerate time-to-data-value.

Own and operate the enterprise Qualys platform: manage scans, appliances, Cloud Agents, integrations, and reporting. Lead vulnerability identification, prioritization, remediation coordination, AI-assisted analytics, and continuous improvement across global infrastructure. Partner with infrastructure, cloud, application, and governance teams to support audits, automate workflows, and improve vulnerability management maturity.

Lead a team delivering enterprise-scale digital manufacturing capabilities (including generative AI, digital twins, and digital assistants). Drive end-to-end program and portfolio delivery, prioritize demand, ensure operational stability, manage risks, budgets, and governance, and influence executive stakeholders to realize business value through agile and DevOps practices.

This role involves leading the vision for autonomous machine operations, coordinating development with engineering teams, and driving product features based on customer feedback and market needs.

Design, build, and maintain Python data pipelines and business data objects. Implement source-to-target mappings, CI/CD pipelines, unit and integration tests, and deploy solutions. Apply software design and architecture best practices, mentor team members, and resolve complex technical problems across functional teams.

Own technical integrity, scalability, and governance of the PAL system: define standards, data models, lifecycle and versioning; ensure consistent logic across domains; partner with engineering for scalable integration with PAL Engine, applications, and AI services.