Назад
4 дня назад

Engineering Manager, Cloud Efficiency

236 000 - 339 200$
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
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
Engineering Manager, Cloud Efficiency (Cloud Infrastructure/AI): Building a unified self-service cloud efficiency platform with AI skills and agents to attribute, govern, and optimize large-scale cloud resource usage and spend with an accent on cost data, ownership registries, attribution pipelines, and unit economics. Focus on leading engineering teams, defining backend and data platform strategy, and solving complex scalability, observability, and cloud cost optimization challenges.

Location: US-WA-Bellevue; hybrid

Salary: $236K–$339.2K annually

Company

Snowflake provides large-scale cloud infrastructure and data platforms, including production deployments, Kubernetes fleets, and CI/CD systems.

What you will do

  • Lead and grow a team of software engineers while fostering technical excellence, ownership, and continuous learning.
  • Define the Cloud Efficiency roadmap, including authoritative cost data, resource ownership, attribution pipelines, unit economics modeling, observability, governance policies, and optimization workflows.
  • Set technical strategy for backend systems, data pipelines, APIs, AI skills, and agents that measure and optimize cloud usage and spend.
  • Own delivery from planning and design reviews through execution, launch, and iterative improvement.
  • Partner with Product, Engineering, Finance, Data Science, and other cross-functional teams to deliver integrations and customer outcomes.
  • Represent the team in broader engineering initiatives and technical discussions.

Requirements

  • 9+ years of software engineering experience, including 3+ years in engineering management.
  • Strong foundation in distributed systems, data engineering, or cloud-native backend development.
  • Experience building cost management, budgeting, billing, or FinOps tooling in AWS, Azure, or GCP environments.
  • Experience with anomaly detection, time-series analysis, or ML-driven cost optimization products.
  • Ability to define and execute multi-quarter technical roadmaps, lead complex system design, and balance delivery with long-term platform health.
  • BS, MS, or PhD in Computer Science or a related field, or equivalent experience.

Culture & Benefits

  • Work in a fast-growing engineering organization focused on challenging ordinary thinking and accelerating innovation.
  • Collaborate across Engineering, Product, Finance, and Data Science.
  • Build systems supporting cloud infrastructure with annual spend in the billions of dollars.
  • Contribute to a culture of low ego, experimentation, technical ownership, and continuous learning.

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