Top Tech Jobs & Startup Jobs

Lead end-to-end architecture for connected asset and Industrial IoT solutions, spanning device connectivity, edge-to-cloud integration, cloud services, data platforms, analytics, and customer applications. Define standards, roadmaps, enterprise data models, and collaborate across product, engineering, cybersecurity, and business teams to enable fleet management, equipment health monitoring, predictive maintenance, and AI-enabled experiences.

Lead quality engineering for Cat.com/Prime Online by defining test strategy, driving automation and CI/CD integration, leading functional, integration, regression, and performance testing across web, mobile, API, and enterprise platforms, mentoring engineers, reporting release readiness and risks, and championing AI-assisted testing practices to improve reliability and scalability.

Leads the design, implementation, and governance of secure, scalable AWS and Azure cloud architectures supporting AI, analytics, data platforms, and finance applications. Builds infrastructure-as-code, CI/CD pipelines, containerized platforms, and hybrid-cloud networking. Drives application modernization, reliability, observability, disaster recovery, cost optimization, security, and governance while troubleshooting complex technical issues and influencing architecture decisions across teams.

Leads a team of 4–5 developers delivering Caterpillar’s ERP template and dealer integrations. Owns software architecture deliverables, integration standards, solution design, development, testing, and implementation using agile methods. Oversees delivery against quality, security, and usability standards; gathers requirements, automates workflows, resolves integration issues, and coordinates dependencies and risks across cross-functional teams. The role focuses on enterprise-scale applications integrating Dynamics 365 CRM and Finance & Operations with dealer systems.

Leads the design, development, and operation of scalable data pipelines, microservices, streaming and batch ingestion systems, and cloud-native data platforms. Uses Python, AWS services, testing, data quality controls, monitoring, and automation to support reliable enterprise data ecosystems. Collaborates with architects, engineers, product teams, and business stakeholders to define architectures, optimize performance, ensure data integrity, and resolve production issues.

Lead deployment governance and technical oversight for Cat Converge D365 deployments. Serve as Caterpillars primary deployment lead for dealers, govern System Integrator execution, oversee data migration and integrations, identify and resolve risks, review SI deliverables, communicate status to stakeholders, and mentor other deployment specialists to improve methodologies and delivery quality.

Participate in a multi-year IT rotation program across software development, QA, system administration, cybersecurity, analytics, infrastructure, and client support. Gain technical foundation, product knowledge, and enterprise perspective through hands-on assignments and cross-functional exposure. Relocate to San Diego and prepare for placement in a long-term IT role.

Design, build, test, and deploy backend RESTful microservices on cloud platforms. Provide technical leadership, mentor engineers, improve CI/CD, observability, and operational readiness, and apply AI-assisted/agentic development practices to accelerate and harden delivery.

Design, build, test, and deploy secure, scalable backend microservices (Java/Spring Boot) on cloud platforms (AWS/Azure). Contribute to platform capabilities, CI/CD, observability, and AI-assisted development workflows; validate AI-generated code; collaborate in Agile teams; support Python or front-end tasks as needed; produce documentation and operational runbooks.

Lead and define end-to-end perception architecture for autonomous machine systems. Own sensor integration, sensor fusion, perception ML, scene understanding, data flow, validation, and safety. Guide a Perception Architecture Team, create roadmaps, drive architecture tradeoffs for edge deployment, and partner cross-functionally to ensure perception is deployable, testable, and safe in real-world jobsites.