Skip to content

Open nowPosted 95 days ago

Senior Forward Deployed Engineer

shakudo12 open roles

Where
Toronto, ON
Work mode
On site
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowSenior Forward Deployed Engineershakudo · Toronto, ON
  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on shakudo's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

7.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 1.6%1 day
  2. 3.4%3 days
  3. 7.8%7 days
  4. 14.3%14 days
  5. 33.7%30 days
This job: posted 95 days ago

The posting

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 Forward Deployed Engineer to join our ProServe 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.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against shakudo's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.
  3. We apply on shakudo's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.
  4. Every reply, sorted

    shakudo's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.
  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.