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Build and maintain the Python enterprise runtime for CrewAI, including FastAPI services, Celery workers, Redis-backed state, execution APIs, security (JWT/webhooks), observability (OpenTelemetry/Sentry), testing (pytest/mypy/ruff), and integrations with cloud identity and secret stores across AWS, GCP, and Azure to enable resumable, observable, and secure agent workflows in production.

Own and build CrewAI's end-to-end data foundation: consolidate telemetry and application data, design pipelines and warehouses, define trusted metrics and semantic models, improve instrumentation and data quality, enable self-serve analytics, and support product and GTM decisions with reliable dashboards and analyses.

Build and operate CrewAI's infrastructure across AWS, Azure, and GCP. Own containerized deployments, CI/CD pipelines, observability, secrets, networking, databases, and on-call reliability. Harden security, automate deployments and installs, partner with runtime and product engineers, and reduce operational toil through tooling and automation.

Maintain and evolve the CrewAI open-source framework: design and implement core agent orchestration and public APIs, triage and review community PRs, ensure high-quality typed Python with tests and CI, document APIs and DX, and collaborate with runtime/platform teams while engaging the community across forums.

The Forward Deployed Engineer integrates CrewAI's products into client systems, ensuring successful implementation by understanding technical requirements and business contexts. They lead deployable solutions, conduct workshops, and monitor performance, ultimately enhancing client satisfaction and value delivery.

Senior technical owner for enterprise support: reproduce and resolve complex issues end-to-end, define SLAs/severity/escalation, hand off clear tickets to engineering, build KB and onboarding, and synthesize product feedback.