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5 дней назад

Senior Solutions Engineer (Federal/Public Sector)

175 000 - 264 000$
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

Текст:
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TL;DR
Senior Solutions Engineer (Federal/Public Sector) (AI development infrastructure): Leading technical pre-sales, demos, architecture discussions, and proofs-of-concept for Coder's platform across civilian, defense, and intelligence agencies with an accent on classified, air-gapped, Kubernetes, and agentic AI environments. Focus on deploying and troubleshooting secure infrastructure, translating technical wins into mission value, and guiding federal customers through AI-assisted development adoption.

Location: Remote within the United States; must be physically based in the DC / Maryland / Virginia (DMV) area and able to travel to customer sites.

Compensation: $175,000–$264,000 base salary depending on tier, plus equity and commission. Solutions Engineers follow a 70/30 base salary-to-variable split.

Company

hirify.global provides self-hosted, agent-ready cloud development environments that help enterprises govern secure human and AI-driven development workflows.

What you will do

  • Own the technical relationship with agency prospects throughout the pre-sales process and drive opportunities toward a technical win.
  • Partner with Account Executives on qualification, demos, architecture discussions, proofs-of-concept, and deal progression.
  • Demonstrate hirify.global from developer, administrator, and AI-agent perspectives, including in classified and air-gapped environments.
  • Install and troubleshoot hirify.global on cloud platforms, AWS GovCloud, on-premises Kubernetes or VM infrastructure, and disconnected networks.
  • Run proofs-of-concept for agentic and LLM-powered development workflows and translate technical outcomes into mission value.
  • Feed agency insights, feature requests, and issues back to Engineering, Product, and Marketing; contribute documentation pull requests.

Requirements

  • Active TS/SCI clearance with Polygraph at the time of hire and U.S. citizenship are required.
  • Must be physically based in the DMV area and able to travel to customer sites.
  • At least 5 years of experience as a Solutions Engineer selling infrastructure or developer tooling, ideally to federal, defense, or intelligence customers.
  • Experience with AI coding agents and assistants, LLM infrastructure, model proxies, and LLM routing layers, including adoption in classified environments.
  • Deep Linux command-line skills; at least 3 years of hands-on Docker and Kubernetes experience; and at least 3 years with Terraform or comparable infrastructure-as-code tooling.
  • Experience with AWS GovCloud, Azure Government, or on-premises and air-gapped Kubernetes deployments, plus networking across restricted DoD or intelligence-community environments.

Nice to have

  • Direct experience deploying or supporting AI coding agents such as Claude Code, Codex, or similar tools.
  • Prior military, intelligence-community, or federal civilian service.
  • Experience with FedRAMP, DoD IL4/IL5, or ATO processes.
  • Background in CI/CD, DevOps, platform engineering, or developer-platform products.
  • Kubernetes, AWS, or related certifications.

Culture & Benefits

  • Startup-speed execution, ownership mindset, and a player-coach working style.
  • Opportunity to work with secure AI development infrastructure and classified customer environments.
  • Equity and commission are included in the compensation package.
  • hirify.global supports transparent, consistent, and candidate-friendly hiring practices.
  • AI tools may be used in take-home assessments when disclosed, but not during conversational interviews.

Hiring process

  • The process is expected to take two to four weeks when schedules allow.
  • Interviews involve individual contributors, managers, and senior leaders.
  • AI assistance is not permitted during conversational interviews; use in take-home assessments must be disclosed.

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