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3 дня назад

Forward Deployed Engineer (AI)

102 200 - 234 800$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Forward Deployed Engineer (AI): Deploying, integrating, and scaling the Securiti AI platform across complex cloud, hybrid, and on-premises environments with an accent on Kubernetes, APIs, data security, privacy, governance, and AI readiness. Focus on building production-grade integrations, pipelines, classifiers, automations, and agent-based workflows while diagnosing complex deployment and data issues for strategic customers.

Location: Remote, United States

Compensation: $102,200–$234,800 USD annually, depending on U.S. geographic zone.

Company

hirify.global develops data resilience and data security posture management solutions, including the Securiti AI platform, for organizations worldwide.

What you will do

  • Own the technical outcome of strategic customer deployments from initial implementation through scaled production use.
  • Deploy and configure the platform across AWS, Azure, Google Cloud, private cloud, and on-premises environments.
  • Build integrations with data systems, identity providers, reporting tools, SIEM, ITSM, and downstream remediation systems using APIs.
  • Develop production-grade data pipelines, custom classifiers, automations, integrations, and agent-based workflows.
  • Configure, tune, and troubleshoot Kubernetes, containers, Linux, cloud infrastructure, data, deployment, and integration layers.
  • Lead technical customer sessions and collaborate with Sales Engineering, Product, and Engineering on proofs of concept and issue resolution.

Requirements

  • 4–7+ years of experience in forward-deployed engineering, solutions engineering, platform engineering, technical consulting, or similar customer-facing technical roles.
  • Strong software engineering skills in at least one language such as Python, Go, or TypeScript.
  • Hands-on experience with Kubernetes, containers, Linux, cloud platforms, hybrid environments, APIs, system integration, and SQL/NoSQL data stores.
  • Experience building practical technical solutions such as scripts, integrations, data pipelines, classifiers, automations, or internal tools.
  • Ability to translate complex security, privacy, compliance, and business needs into clear technical plans and communicate with executives and technical teams.
  • Must be based in the United States.

Nice to have

  • Experience with DSPM, CSPM, DLP, data governance, privacy platforms, or related security domains.
  • Experience with AI agents, agentic coding assistants, MCP, or RAG systems.
  • Familiarity with GDPR, SOC 2, or ISO 27001.
  • Experience with Snowflake, Databricks, or BigQuery and enterprise data protection controls.

Culture & Benefits

  • Unlimited paid time off, 12 paid holidays, four global hirify.globale Days, and 24 paid volunteer hours annually.
  • Paid parental leave, including 8 weeks for all parents and 16 weeks for birthing parents.
  • Medical, dental, and vision coverage from the first day, plus mental health and wellness support.
  • 401(k) retirement plan with company matching contributions.
  • Fertility, adoption, surrogacy, legal, identity protection, veterinary, and supplemental health benefits.
  • Learning resources, mentoring, workshops, and professional development events.

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