Зона ответственности описана чётко: нужно лично выстроить платформу и со временем собрать команду. При этом работа с нуля в быстрорастущей AI-инфраструктурной компании может означать высокую неопределённость.
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Сфера AI-инфраструктурыЧёткая зона ответственностиЗапуск с нуляГибкий формат работы
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Manager, Developer Platforms (AI): Building the developer toolchain, CI/CD infrastructure, code quality standards, and governance for AI coding tools across Nscale's engineering organization with an accent on access controls, auditability, and developer productivity. Focus on establishing the platform function from scratch, defining guardrails for agentic tools, measuring DORA and developer experience outcomes, and growing the Developer Platforms team.
Location: New York, San Francisco, Seattle, US
Base salary: $180,000–$280,000 USD per year, excluding potential bonus, equity, and commission.
Company
Nscale provides GPU cloud infrastructure for AI start-ups and enterprise customers, supporting AI development, cost management, innovation, and environmental responsibility.
What you will do
Own the developer toolchain, including source control, CI/CD, build and test infrastructure, development environments, and integrations with issue tracking and observability tools.
Set code review, testing, and CI standards across engineering and build the supporting test infrastructure.
Lead adoption and governance of AI coding agents, AI review tools, and AI testing tools.
Design access controls, approval workflows, audit logging, attribution, least-privilege policies, rollback paths, and incident response for agentic tools.
Track DORA metrics, developer experience surveys, and AI coding-tool usage to set priorities.
Build the business case for and hire and lead a Developer Platforms team as the scope grows.
Requirements
8+ years of experience in platform, DevOps, infrastructure, or developer-productivity engineering, including people leadership.
Hands-on ownership of CI/CD and source control for a sizable engineering organization.
Experience rolling out and governing AI coding tools such as Claude Code, OpenAI Codex, Cursor, GitHub Copilot, or similar.
Working knowledge of access control, audit logging, and compliance frameworks, with the ability to translate requirements into practical engineering guardrails.
Experience raising code quality and testing standards across multiple teams.
Experience building a function or system from scratch without an existing team or playbook in an ambiguous environment.
Ability to partner effectively across engineering, security, and compliance and make progress through influence and authority.
Culture & Benefits
Collaborative, supportive, and innovation-focused working environment with emphasis on ownership, accountability, openness, and transparency.
Flexible workplace with autonomy to shape the workday.
Performance reviews every 12 months and a progression plan tailored to individual ambitions.
Potential bonus, equity, and commission programs, plus medical, dental, vision, flexible paid time off, parental leave, and retirement plan participation.
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