aiterraformgcpinfrastructure as codeci cdgithubobservabilitycloud run
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$210к-230к/год
$200к$240кмедиана$290к
По похожим ролям (49) ~ $240к/год
На СНГ рынке: $5.1к/мес ($4.3к - $6.2к)
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Зона ответственности и инфраструктурные задачи описаны ясно, а роль сочетает руководство командой с технической работой; в небольшой команде высокая ответственность может означать широкий круг задач.
?Широкая ответственность
Современный стек
AI в здравоохранении
Дежурства в рабочее время
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Engineering Manager (Infrastructure) (GCP/Terraform/AI): Leading infrastructure, deployment pipelines, and reliability for an AI-driven healthcare reimbursement platform with an accent on infrastructure as code, CI/CD, observability, and serverless Cloud Run systems. Focus on building agentic-first delivery workflows, scaling GCP infrastructure, debugging production issues, and guiding an experienced team through ambiguous platform challenges.
Location: Hybrid in Williamsburg, New York, or remote within the United States. Candidates must be authorized to work in the United States without current or future employer sponsorship.
Salary: $210K–$230K plus equity.
Company
hirify.global is a technology platform combining software, data, service, and AI to help healthcare providers dispute underpaid claims and recover reimbursement.
What you will do
Lead an experienced infrastructure engineering team, set priorities, coach engineers, create accountability, and support hiring and team structure.
Own infrastructure as code on GCP with Terraform, keeping environments reproducible, reviewed, and version controlled.
Own GitHub-to-Cloud Run CI/CD pipelines and lead agentic-first workflows for speculative deployments and new development environments.
Drive uptime, reliability, monitoring, alerting, observability, root-cause analysis, and improvements to the working-hours on-call rotation.
Guide architecture and scaling decisions for deployment systems and GCP infrastructure in partnership with Product Engineering, Data Science, and AI Platform.
Use AI-driven automation and AI-enabled development tools to reduce infrastructure toil and contribute directly to technical solutions.
Requirements
8+ years supporting highly available production systems, including debugging production issues under pressure.
1–3 years as a tech lead and/or engineering manager.
Hands-on infrastructure experience with Infrastructure as Code using Terraform, plus enough technical depth to guide architecture and evaluate tradeoffs.
Experience with observability and on-call operations.
Working experience with GCP, GitHub, and serverless platforms such as Cloud Run.
Real day-to-day AI fluency and experience using AI-enabled development tools.
Experience owning systems end to end on a small team and leading through ambiguity.
Experience managing an experienced, opinionated team while preserving productive technical disagreement.
Clear communication skills for explaining technical tradeoffs and creating alignment across Engineering, Product, and other partners.
Nice to have
Experience leading architecture and scaling decisions for deployment systems or scaling an early engineering team.
Startup or agency experience across multiple technology stacks and problem areas.
Experience building AI-agent-driven or AI-assisted developer workflows.
Experience in healthcare, provider reimbursement, revenue-cycle management, claims, or Independent Dispute Resolution.
Culture & Benefits
Collaborative, low-ego team focused on improving healthcare reimbursement for providers.
Remote and hybrid flexibility varies by role and team; core hiring hubs are Los Angeles and New York.
Health, dental, and vision coverage, plus a 401(k) retirement savings plan.
Flexible time off and company-wide connection and events.
Full-time employment with equity included in compensation.
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