Если вы раньше входили через Google, сбросьте пароль для своей Gmail-почты через кнопку «Забыли пароль?» на экране входа. Затем войдите по email и новому паролю.
Если аккаунта ещё нет, зарегистрируйтесь с Gmail-почтой, после подтверждения почты мы предложим задать пароль.
Что нового
Загружаю обновления...
Что нового
Загружаю обновления...
Работа найдется быстрее с подпискойКандидат найдётся быстрее с подпиской
Чтобы адаптировать резюме под вакансию или составить сопроводительное письмо, загрузите резюме
описание
Intro call, then a working session in a real cloud console, then a founder conversation. Decision within two weeks. No take-home busywork.
Yasu develops an AI Cloud Engineer powered by its ACE multi-agent architecture. The product identifies costly infrastructure decisions at pull requests and autonomously remediates cloud waste in live production environments, helping customers reduce cloud spend by up to 40%.
задачи
Own customer outcomes end to end by running onboarding, working with Platform and Cloud teams, identifying savings, and proving them in production;
Encode FinOps patterns, judgment, and rules into ACE agents operating across customers;
Define guardrails and policies for safe autonomous remediation in production;
Build infrastructure-as-code analysis that catches expensive decisions in pull requests using Terraform, Bicep, and CloudFormation;
Serve as the cloud subject matter expert within the engineering team;
Turn field learnings and customer engagements into reusable product patterns;
Fix issues quickly and ship improvements.
требования
Have 4+ years of cloud or platform engineering experience with significant, provable cost optimization work;
Have personally reduced cloud spend by six or seven figures;
Have experience with more than one cloud; deep expertise in Azure or AWS and working knowledge of the other;
Work directly in cloud consoles and infrastructure-as-code repositories;
Know which workloads should not run on demand and where costs hide in Kubernetes clusters;
Write automation code using Python, Bash, or suitable alternatives;
Know Terraform at minimum, ideally with Bicep or CloudFormation;
Communicate effectively with engineers and Head of Platform stakeholders;
Run working sessions, identify savings live in customer consoles, and write runbooks;
Move quickly and deliver fixes;
Use AI tools daily, including Claude, Cursor, and agents;
Nice to have: Background at AWS, GCP, Azure, or a high-growth infrastructure or DevOps tooling company, ownership of FinOps metrics inside a mid-market or enterprise company, open source contributions in cloud, IaC, or FinOps, prior early-stage startup engineering experience.
условия
Competitive market salary plus meaningful founding-engineer equity (ESOP);
Flexible hybrid work focused on output rather than logged hours;
Direct access to the founding team with influence over the product, roadmap, and engineering culture;
Paid time off;
Laptop, headphones, and merchandise;
Company BBQs;
Founding role at a pre-seed startup with intensity and real ownership rather than a 9-to-5 schedule.