Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Мало
$154к-249к/год
$180к$210кмедиана$240к
По похожим ролям (49) ~ $210к/год
На СНГ рынке: $4.2к/мес ($3.2к - $5.9к)
61
Средняя вакансия
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Здесь четко очерчена важная роль на стыке ИИ и облачного FinOps, но зарплата ниже медианы рынка, работа требует присутствия в офисе в Bay Area, а визового спонсорства нет.
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Ниже рынкаТолько офисБез визовой поддержкиСовременный стекЧеткая рольИИ и кибербезопасность
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Sr. Staff Software Engineer (AI-Native Cloud FinOps): Building intelligent pipelines and autonomous optimization systems for cloud spend across AWS, Azure, and GCP with an accent on AI/ML infrastructure, GPU workloads, and multi-cloud FinOps. Focus on designing closed-loop automation, predictive models, internal AI agents, and infrastructure-as-code systems that convert optimization opportunities into automated savings.
Location: Onsite in Santa Clara, California, United States; must be local to the Bay Area.
Salary: $153,700–$248,600 per year, with potential restricted stock units and bonus.
Company
hirify.global operates in the cybersecurity industry and describes its work as protecting digital systems through innovation, collaboration, execution, integrity, and inclusion.
What you will do
Build autonomous systems with LangChain and ADK to inspect, govern, and optimize high-cost AI/ML workloads.
Manage GPU cluster provisioning, optimize model batching, and track per-token unit economics across AWS, Azure, and GCP.
Develop closed-loop software that converts detected optimization opportunities into executed cloud savings.
Build Terraform and Pulumi infrastructure-as-code pipelines with real-time cost-compilation checks.
Train and deploy predictive machine learning models to analyze usage telemetry and detect spending anomalies.
Build telemetry platforms and internal AI agents that measure unit economics, detect infrastructure waste, and submit pre-validated pull requests.
Requirements
8+ years of experience in software engineering, cloud engineering, SRE, or Cloud FinOps teams, including 2+ years building software tools or AI/ML integrations for cloud resource management.
Strong software engineering fundamentals in Python, ReAct, and TypeScript/Node.js.
Practical experience with LLM APIs, vector databases, and agentic frameworks.
Deep understanding of the architectural and financial cost drivers of AI/ML workloads.
Hands-on programmatic experience with FinOps APIs across AWS, GCP, and Azure.
Mastery of Terraform and Pulumi, plus experience with CI/CD engines.
Proven experience architecting and maintaining closed-loop automation tools in multi-cloud environments.
Must be local to the Bay Area for onsite work.
Nice to have
Experience with Kubernetes cost allocation using Kubecost or OpenCost.
Proficiency with SQL, BigQuery, or Snowflake for processing billing exports.
Ability to partner with AI/ML Engineers, Product Leaders, and FP&A to align infrastructure strategies with financial goals.
A software-first, agentic problem-solving mindset focused on self-healing systems.
Culture & Benefits
Primarily office-based work with flexibility when needed to support real-time collaboration and problem-solving.
Employee benefits are available, with compensation potentially including restricted stock units and a bonus.
Commitment to diverse, inclusive teams and reasonable accommodations for qualified individuals.
Hiring process
Applicants may apply through the company career portal.
Immigration sponsorship is not available for this position.
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