Высокоуровневая руководящая роль в топовой дата-компании с зарплатой выше рынка и четко определенной технической миссией.
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Hirify AI/Оригинал
TL;DR
Engineering Manager (Postgres): Building and operating a fully managed, cloud-native Postgres service with an accent on high availability, upgrades, backups, scaling, automation, and operational safety. Focus on defining cloud database architecture, balancing consistency, performance, scalability, and cost, and leading teams delivering reliable production services.
Location: Menlo Park, California, United States
Salary: $236,000–$339,250 per year
Company
Snowflake is building a cloud data and AI platform, including a fully managed, cloud-native Postgres service integrated with Snowflake's data experience.
What you will do
Define architecture for the Postgres dataplane and orchestration/control plane.
Lead development of high availability, upgrades, backups, scaling, automation, and operational safety.
Build product roadmaps, identify problems, and deliver scalable solutions.
Balance consistency, performance, scaling limits, cost, and immediate business needs.
Ensure durability, availability, performance, security, and operational readiness for customer-facing services.
Drive alignment across teams, customers, and partners while solving large-scale business and technical problems.
Requirements
10+ years of experience building and operating large-scale distributed systems, databases, or cloud services.
3+ years of experience building, managing, and leading high-performing engineering teams.
Strong track record delivering resilient production systems and services.
Significant experience with AWS, Azure, and/or GCP and highly available services.
Strong hands-on technical ability in system design, implementation, and complex codebases.
Postgres experience as an end user, operator, or administrator, with a strong understanding of database fundamentals and trade-offs.
Culture & Benefits
Work on a strategic new product in cloud data and AI.
Solve challenging problems in security, parallel and distributed systems, programming, resource management, and large-scale system maintenance.
Collaborate closely with customers and partners to understand use cases and prioritize solutions.
Join a team of industry veterans and rising stars focused on impact, innovation, and collaboration.
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