> AI agents: this is one page of Nextmove’s FDE site, in Markdown. Nextmove is a job board and free career service for forward deployed engineers (FDEs). Each posting is classified from its text, not its title: the kind of work, how much of it is production code, pre-sales weight, time at customer sites, travel, remote arrangement, level and posted base pay. The site also publishes the aggregates: median pay by level, metro, company and kind of work, and which companies started hiring FDEs each week. Every page under https://nextmove.md/fde is served this way; the index of pages is https://nextmove.md/llms.txt.

# Principal Engineer

Canonical URL: https://nextmove.md/fde/jobs/cc28132e0e3ad7f2

Shakudo posts a staff FDE role to build what the customer runs in Menlo Park, CA with no pay posted. A customer-facing Principal Engineer on the Platform team owns strategic customer engagements from discovery through production rollout and adoption. Read from the employer’s posting on November 8, 2026.

- [Shakudo](https://nextmove.md/fde/companies/shakudo)

Posted May 5, 2026 by Shakudo · open on Lever as of Nov 8, 2026

Pay not posted Menlo Park, CA On-site Full-time

A customer-facing Principal Engineer on the Platform team owns strategic customer engagements from discovery through production rollout and adoption.

- [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2Fcc28132e0e3ad7f2&placement=top)
- [View posting at Shakudo](https://jobs.lever.co/shakudo/36157dae-4791-4d61-bac1-ab0f5e660591/apply)

Free. Upload your resume once, see why each FDE role fits, and get introduced only when you say so.

## At a glance

### Posted base pay

Not posted

Senior FDE postings, 1,864 postings: the middle 50% of posted pay is $160K to $220K, median $190K.

### The work

Builds what the customer runs

Balance **Mostly building**

Project stages

1. Pre-sales (not covered)
2. Proof of concept (not covered)
3. Implementation
4. Operations

Travel **Required, amount not stated**

- **Coding**: Writes production code

- **Builds for**: External customers

- **Level**: Senior

- **Role**: Individual contributor

### What they ask for

Experience

- **8+ years** software, data, platform, infrastructure, or AI engineering
- **3+ years** building LLM/AI applications
- **5+ years** Kubernetes and cloud-native infrastructure in production environments

Background

- **Software engineering**
- **Implementation and data engineering**

### Do you meet what the posting states?

The posting asks for 3+ years. How many do you have?

The posting reads as a senior role. What level are you at now?

The job is in Menlo Park, CA. Could you work there?

Which of these have you used in production?

Answer each one. Nothing is saved or sent.

[What postings ask for, by background →](https://nextmove.md/fde/paths)

## Conditions

- **Location**: Menlo Park, CA

- **Work arrangement**: On-site

- **Employment type**: Full-time

- **Travel**: Travel required, amount not stated

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## The job description from Shakudo

Posted by Shakudo on May 5, 2026

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 **Principal** **Engineer** 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.

[View posting at Shakudo](https://jobs.lever.co/shakudo/36157dae-4791-4d61-bac1-ab0f5e660591/apply)

## About Shakudo

Provides an AI and data operating platform deployed in enterprise cloud, data center, or air-gapped environments.

10–50 people

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