Principal Engineer

Shakudo builds an operating system for data and AI. The Principal Engineer partners with strategic customers to take AI and data systems from discovery through production, deployment, and adoption, delivering measurable operational outcomes.

Responsibilities:

• Embed with customer teams to understand business problems, workflows, data systems, constraints, and success metrics
• Define what success looks like for each engagement, including the target outcome, adoption path, production boundary, and measurable impact
• Translate ambiguous customer needs into clear technical scopes, architectures, implementation plans, and production outcomes
• Build and deploy AI and data applications on Shakudo, including agentic workflows, RAG systems, data pipelines, integrations, evaluations, and operational automation
• Design and implement production data workflows across enterprise environments, including ingestion, transformation, orchestration, data quality, access control, and observability
• Deploy and operate Shakudo in complex customer environments, including cloud, hybrid, on-prem, private cloud, and air-gapped infrastructure
• Work hands-on with Kubernetes, containers, networking, storage, identity, secrets, observability, and production troubleshooting
• Partner with customer engineering, platform, data, and security teams to get systems live, governed, adopted, and measurable
• Participate in PagerDuty-based production support for customer deployments, including incident response, escalation, root-cause analysis, and follow-up remediation
• Turn customer-specific work into reusable patterns, playbooks, templates, and product feedback for Shakudo