Senior Federal Forward-Deployed Engineer (Remote)

Deepgram

United States

Remote

USD 160,000 - 200,000

Full time

14 days+
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Benefits offered by this job

Medical, dental, vision benefits
Unlimited PTO
Learning / Education stipend
Parental leave

Job summary

Deepgram is seeking a Senior Applied Engineer to join our Applied Engineering team, focusing on federal deployments and embedding with government accounts to lead complex, production-ready Voice AI solutions. You will own the full technical lifecycle from discovery to deployment, navigating regulatory and security requirements.

You’ll prototype and deliver full-stack integrations using Python, JavaScript, or Rust, while guiding stakeholders to maximize value and scale deployments across diverse

Qualifications

  • Active Top Secret/SCI (TS/SCI) security clearance is required.
  • 5+ years of engineering or technical deployment experience, ideally in customer-facing or government environments.
  • Strong software engineering background with proficiency in Python, JavaScript, or similar languages.

Responsibilities

  • Own technical delivery across federal deployments from prototype to production.
  • Embed with federal customers to design and build mission-critical applications.
  • Lead discovery and solution design for federal prospects and customers in collaboration with account teams.
  • Prototype and build full-stack integrations delivering measurable mission impact.

Skills

Security clearance
Python
JavaScript
Government experience

Tools

AWS GovCloud
Kubernetes
Terraform

Job description

Deepgram is seeking a Senior Applied Engineer to join our Applied Engineering team, focusing on federal deployments and embedding with government accounts to lead complex, production-ready Voice AI solutions. You will own the full technical lifecycle from discovery to deployment, navigating regulatory and security requirements.

You’ll prototype and deliver full-stack integrations using Python, JavaScript, or Rust, while guiding stakeholders to maximize value and scale deployments across diverse

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