Top Tech Jobs & Startup Jobs

Defines data architecture and contracts supporting physical AI and autonomous systems. Establishes schemas, semantics, metadata, identity, timestamps, quality, latency, completeness, and versioning standards for machine and site data. Designs technical infrastructure, evaluates technologies, develops architecture roadmaps, and collaborates with perception, data engineering, platform, and business teams to deliver scalable digital solutions. Provides strategic technical leadership across engineering organizations and mentors stakeholders.

Owns product vision, backlog creation, prioritization, and feature decisions while partnering with Scrum, technical product management, and software engineering teams. Manages project planning, schedules, reporting, change control, decision-making, and execution from concept through implementation. Ensures sprint objectives, project timelines, budgets, and quality targets are achieved. Requires extensive Azure DevOps experience and knowledge of AWS, Run:AI, CI/CD, GitHub Enterprise, security and identity, Confluence, and Power BI.

Performs data analysis, validation, mining, processing, modeling, and ETL activities on large, diverse datasets. Collaborates with senior team members to build backend data infrastructure, assess data accuracy, identify inconsistencies, and deliver business insights through reporting and visualization. The role uses SQL, Python, machine learning, cloud technologies, data governance, and data quality practices to support digital product development and data-driven decisions.

Develops and maintains data-driven solutions for aftermarket parts inventory planning, including production processes, Power BI dashboards, data architecture, predictive modeling, simulations, and advanced analytics. Performs inventory analysis, supports business intelligence and ad hoc requests, optimizes analytical programs, and evaluates generative AI opportunities. Partners with technical and business stakeholders to deliver actionable insights and continuous process improvements. The role is fully onsite in Morton, Illinois and requires up to 10% domestic travel.

Design, build, and maintain scalable backend services for a React Native mobile app. Implement API endpoints with OpenAPI, optimize multi-tier Redis caching, integrate enterprise systems (eCommerce, Salesforce, payment processors), and deploy services on AWS Lambda and ECS/Fargate. Collaborate with mobile and architecture teams, perform testing and code reviews, and mentor other engineers.

Build data products and automations by translating business questions into technical requirements, assessing data and process gaps, and developing analytics solutions. Create actionable Power BI dashboards, support cross-functional decision-making, and guide junior data scientists and citizen developers. The role requires strong skills in Python, SQL, data analytics, AI, automation, data modeling, business requirements analysis, communication, and project management.

Supports Caterpillar’s connected-machine ecosystem by troubleshooting complex hardware, software, network, and telematics issues. Collaborates with engineering and industry partners, validates new product integrations, analyzes machine and network data, investigates root causes, and resolves connectivity issues affecting dealers and customers. Provides technical expertise on communication protocols, diagnostic tools, connected-machine technologies, and product support processes.

Provides application security engineering across the software development lifecycle. Responsibilities include managing security defects, consulting with engineers and architects, enabling security testing tools, coordinating penetration testing, measuring application security maturity, and documenting corrective actions. The role requires software development and integration knowledge, cloud experience, and expertise in analyzing and remediating findings from SAST, DAST, SCA, penetration testing, and related security assessments.

Lead the Rental Data Model strategy and dealer integrations, translating rental business needs into scalable data products. Drive data standards, governance, roadmap prioritization, validation, and root-cause analysis while partnering with engineering, analytics, dealers, and stakeholders to ensure data quality and enable trusted reporting and customer experiences.

Leads the strategy, architecture, and implementation of high-fidelity digital twins and simulation environments for autonomous construction machines, jobsites, robotics, and end-to-end workflows. Establishes technology strategies, platforms, integration patterns, governance, and multi-year roadmaps. Partners with engineering, robotics, autonomy, controls, software, product, data teams, and senior leadership. Oversees model validation, physical test correlation, and integration of simulation assets into a cohesive digital ecosystem.