Job Description

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