Shakudo

Shakudo

Forward Deployed Engineer

Menlo Park

Sponsorship not specifiedDetected 78 days ago
TypeScriptPythonJavaGoiOSSnowflakeDatabricksAWSAzureCloud PlatformsKubernetesLinuxMachine LearningSparkAirflowData EngineeringData ScienceLLMsRAGMLOpsA/B TestingIncident ResponseForecastingSupply Chain

About the role

  • 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.
  • This is an outcome-based engineering role.
  • A successful engagement is not a demo, a prototype, or an installation.

Responsibilities

  • 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.
  • 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.
  • 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.

Requirements

  • 8+ years of experience across software, data, platform, infrastructure, or AI engineering roles, including:
  • 5+ years working with Kubernetes and cloud-native infrastructure in production environments.
  • Strong experience with major cloud platforms such as AWS, Azure, or GCP.
  • Experience with a modern data stack such as Spark, Airflow, Databricks, Snowflake, or similar.
  • 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.
  • 3+ years building LLM/AI applications such as RAG, agents, evaluations, workflow automation, or production AI systems.
  • Strong data engineering background, including pipelines, orchestration, transformation, data quality, access controls, and production data workflows.
  • 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.
  • 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.

Nice to have

  • you care about production rollout, adoption, reliability, operational handoff, and measurable impact.
  • Willingness to travel to customer sites as needed.
  • 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 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.

Compensation

  • 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.

Benefits

  • 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.

Equal opportunity

  • equal opportunity employer and encourages candidates of all backgrounds to apply.

This listing is sourced directly from Shakudo's careers page and normalized into a canonical job model.