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Lead development of VM/image tooling and Java-based test automation for Cloudera Data Platform across AWS, Azure, and GCP. Architect and deliver scalable, high-availability solutions, own configuration-as-code (Ansible/Salt/Packer), diagnose complex distributed cloud issues, and drive features end-to-end while mentoring others.

Lead and grow enterprise Telco, Media, and transportation accounts by developing business plans, building executive relationships, driving large transactions, forecasting pipeline, and exceeding subscription, renewal, and services revenue goals.

Lead technical AI discovery with enterprise customers: run hands-on workshops, scope high-value private AI use cases, assess data and infrastructure readiness, build lightweight POCs and reference architectures, and translate validated opportunities into engineering-ready blueprints for production handoff.

The Staff Software Engineer will design high-performance backend services, manage distributed state, ensure system resilience, and implement cloud-native architectures with advanced engineering principles.

As a Senior Data Engineer, you'll design and implement data pipelines, focus on AI-first workflows, manage data ingestion, and ensure data integrity.

As a Staff Backend Software Engineer, you will design and maintain infrastructure tooling, develop backend services in C# and Go, enhance APIs, and collaborate on various cloud-native projects.

Lead and mentor a team of engineers, own technical direction for BI features, drive architectural decisions, and manage sprint execution while balancing hands-on development.

Lead quote-to-cash and order management activities: review and approve quotes, process orders in the CRM, support deal calculations, troubleshoot systems, train sales teams, maintain data integrity, build reports, and partner cross-functionally to implement policies and improve sales operations.

Embed with strategic customers to prototype, build, and productionize full-stack AI and agentic applications; advise on AI strategy, codify repeatable architectures and playbooks, mentor teams, and feed product feedback to improve enterprise AI platforms.

Drive customer success for top enterprise Cloudera customers as a trusted advisor. Own product adoption and Success Plans, liaise with internal teams, manage escalations, analyze usage data, mitigate risks, and guide implementation and upgrade efforts to achieve agreed outcomes.