--- title: 'Principal Engineer at Shakudo' canonical: 'https://feeny.ai/job/principal-engineer-shakudo-menlo-park-e54s4pataxh2' type: 'job' last_seen: '2026-09-10' --- # Principal Engineer at Shakudo - **Company:** Shakudo - **Location:** Menlo Park, CA - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-05-05 - **Last confirmed live:** 2026-09-10 - **Apply:** https://jobs.lever.co/shakudo/36157dae-4791-4d61-bac1-ab0f5e660591 ## Job description At Shakudo, we’re building the world’s first operating system for data and AI. We use the term “operating system” in the truest sense: just like iOS, Windows, or Linux, Shakudo’s end-to-end OS provides ever-evolving, fully automated, best-in-class open-source components tailored to each business’s unique needs. We are seeking a senior PrincipalEngineer to join our Platform team and work directly with strategic customers to turn business problems into production AI and data systems. This is a highly technical, customer-facing role for someone who can move between customer conversations, system design, data engineering, AI application development, Kubernetes, cloud infrastructure, and production support. In this role, you will own the path from discovery to production: understanding the customer’s workflows and data, designing the solution, building and deploying it on Shakudo, and helping the customer adopt it in real operations. This is an outcome-based engineering role. A successful engagement is not a demo, a prototype, or an installation. It is a live, governed, adopted workflow that improves how the customer operates and is tied to a clear business result. ## 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. ## Qualifications - 8+ years of experience across software, data, platform, infrastructure, or AI engineering roles, including: - 3+ years building LLM/AI applications such as RAG, agents, evaluations, workflow automation, or production AI systems. - 5+ years working with Kubernetes and cloud-native infrastructure in production environments. - Strong experience with major cloud platforms such as AWS, Azure, or GCP. - Strong data engineering background, including pipelines, orchestration, transformation, data quality, access controls, and production data workflows. - Experience with a modern data stack such as Spark, Airflow, Databricks, Snowflake, or similar. - Experience building or deploying AI, data, or automation solutions in highly regulated or operationally complex industries, such as financial services, government, healthcare, energy, agriculture, supply chain, or industrial operations. - Ability to apply AI to real-world operational data, such as sensor data, geospatial data, logistics data, ERP data, field operations data, or forecasting data. - Proficiency in at least one production programming language such as Python, Go, TypeScript, Java, or Scala. - Strong systems thinking across data, users, permissions, workflows, infrastructure, governance, and business processes. - Excellent customer-facing communication skills with engineers, operators, security teams, executives, and business owners. - Strong ownership mindset: you care about production rollout, adoption, reliability, operational handoff, and measurable impact. - Willingness to travel to customer sites as needed. A Plus - Experience in a forward deployed, professional services, solutions architecture, customer engineering, field engineering, or technical consulting role. - Experience delivering outcome-based customer engagements where success was measured by adoption, operational improvement, or business impact. - Experience with data engineering, machine learning, or data science workflows, including feature engineering, model training, experimentation, evaluation, or production ML systems. - Experience with on-prem, private cloud, regulated, hybrid, or air-gapped deployments. - Experience with infrastructure-as-code and production operations. - Experience working with enterprise security, compliance, audit, access control, and governance requirements. - Experience integrating AI or data systems with enterprise applications, internal APIs, data platforms, or customer-specific operational tools. - Experience leading senior technical stakeholders through architecture reviews, security reviews, implementation planning, and production-readiness decisions. - Ability to identify repeatable product and service opportunities from customer-specific implementations. ## Why Shakudo Stands Out - Work with cutting-edge technologies in machine learning and high-performance computing. - Contribute to a platform that transforms how organizations leverage data and AI. - Join a dynamic team that values innovation, efficiency, and diversity. Shakudo offers a high-impact package: competitive salary, meaningful equity so you share in the upside of transformational technology, and comprehensive health benefits that have you fully covered. We provide a flexible vacation policy—because building transformational technology requires supporting the people who build it. More importantly, you’ll work on technology that matters. This role is based onsite to support the high security requirements of our clients and enable effective collaboration. We have a welcoming office environment, fully stocked with snacks, regular team outings (summer boat cruise, escape room, etc.), and a strong focus on maintaining a healthy work-life balance while doing meaningful, impactful work together. Shakudo is an equal opportunity employer and encourages candidates of all backgrounds to apply. We foster diversity and inclusivity and welcome applications from a broad range of backgrounds and experiences. ## About Shakudo ## Company Overview - **One-liner**: Shakudo provides an operating system for AI and data that orchestrates best-of-breed tools in a customer’s own infrastructure, enabling enterprises to build, deploy, and govern AI agents without vendor lock-in. - **Entity Type**: Private (Series A; raised multiple rounds including a CAD 9.5M round in October 2025) - **Headquarters**: Toronto, Ontario, Canada - **Founded**: 2021 - **Founders**: Yevgeniy Vahlis (CEO & Co-founder) and Christine Yuen (Head of Engineering & Co-founder) ## Core Business - **Primary industry**: AI infrastructure / Enterprise software - **Target customers**: B2B – large enterprises in retail, real estate, financial services, healthcare, aerospace, and automotive - **Mission/purpose**: “Unlock the Potential of AI for All” – turning breakthrough ideas into real-world impact by making AI secure, sovereign, and easy to operationalize ## Products & Services - **Shakudo Platform**: The core operating system that auto‑orchestrates 170+ AI and data tools (open‑source and commercial) in the customer’s own cloud or on‑prem environment. Provides a fully automated DevOps experience, cost management, and governance. - **Kaji AI Gateway**: A secure gateway for deploying and managing autonomous AI agents with built‑in RBAC, OWASP Top 10 LLM risk mitigation, and container/PyPI/CRAN vulnerability scanning. - **Stack Components**: A curated library of pre‑integrated AI/Data stack components (e.g., vector databases, LLM runtimes, data warehouses) that can be deployed with a single click. ## Market Standing - **Valuation/Market Cap**: Not disclosed (private company) - **Key Metric**: Total disclosed funding ~USD 10.6M (Seed $3.4M + Series A $7.2M) plus CAD 9.5M additional Series A in 2025; 36 employees (+2.6% YoY) - **Notable Investors/Partners**: GreatPoint Ventures, Wittington Ventures, Golden Ventures, Parade Ventures - **Growth Signals**: Headcount grew 2.6% YoY; 10 active job postings (monthly job posting growth +100%); customer wins include major Canadian food retailer, $77.6B AUM real estate firm; expanded into US market with an office ## Competitive Advantages - **Tool‑agnostic platform** – customers can pick any AI tool without being locked into a single vendor - **Runs in customer’s own infrastructure** (on‑prem, air‑gapped, private cloud) – critical for regulated industries and data sovereignty - **SOC 2 Type II certified** with built‑in security features (RBAC, vulnerability scanning, OWASP LLM risk mitigation) - **Dramatically reduces deployment cycles** – one customer cited a drop from 6‑month procurement to same‑day delivery ## Strategic Focus - **Sovereign AI** – enabling enterprises to keep data in their own trusted environment while still leveraging cutting‑edge AI tools - **Autonomous AI agents** – the platform is evolving to support agentic workflows and autonomous decision‑making - **Scale from pilot to production** – offering executive briefings, hands‑on workshops, and embedded engineering support to accelerate enterprise AI adoption ## Why Work Here - **Culture**: “Talented and diverse people from all over the world” who love solving problems; emphasis on learning, growing, and succeeding together - **Remote/Hybrid**: Remote opportunities available; some roles (e.g., Solutions Architect in Bengaluru) are on‑site; HQ in Toronto with offices in the US - **Perks & Growth**: Provided training and innovative professional development; technical team makes up 28% of workforce, giving engineers a strong voice - **Current openings** (as of late 2025/early 2026): Forward Deployed Engineer, Senior Software Development Engineer (Stack Team), Business Development Representative, Senior Engagement Manager, Principal Software Engineer, Infrastructure Engineer, Solutions Architect ## Sources 1. [shakudo.io/careers](https://www.shakudo.io/careers) 2. [shakudo.io](https://www.shakudo.io/) 3. [linkedin.com/company/shakudo](https://ca.linkedin.com/company/shakudo) 4. [cbinsights.com/company/shakudo](https://www.cbinsights.com/company/shakudo) 5. [getclera.com/companies/shakudo](https://www.getclera.com/companies/shakudo) ## Other roles at Shakudo - [Solutions Architect](https://feeny.ai/job/solutions-architect-shakudo-bengaluru-x6p5exhmd097) — Bengaluru, India - [Vice President of Product Marketing](https://feeny.ai/job/vice-president-of-product-marketing-shakudo-menlo-park-0c42rrpd1vdx) — Menlo Park, CA - [Account Executive](https://feeny.ai/job/account-executive-shakudo-menlo-park-9jj9efrrnxc6) — Menlo Park, CA - [Senior Forward Deployed Engineer](https://feeny.ai/job/senior-forward-deployed-engineer-shakudo-toronto-1bqm6z5kv3zd) — Toronto, Canada - [Infrastructure Engineer](https://feeny.ai/job/infrastructure-engineer-shakudo-toronto-asmnwsqbzdcw) — Toronto, Canada - [Solutions Architect](https://feeny.ai/job/solutions-architect-shakudo-toronto-j1xtm4fhzhss) — Toronto, Canada - [Channel BDR](https://feeny.ai/job/channel-bdr-shakudo-menlo-park-361jr1c55zs9) — Menlo Park, CA - [Account Executive](https://feeny.ai/job/account-executive-shakudo-toronto-w9aj1vm2c4fz) — Toronto, Canada - [General Manager - OS Platform Business Unit](https://feeny.ai/job/general-manager-os-platform-business-unit-shakudo-toronto-650wvqchjqwv) — Toronto, Canada - [Senior Software Engineer - Platform Development](https://feeny.ai/job/senior-software-engineer-platform-development-shakudo-san-francisco-42gykh79420w) — San Francisco, CA