Engineering Manager

AS AN ENGINEERING MANAGER AT SNOWFLAKE YOU WILL:

• Provide strong technical leadership across both the Postgres dataplane and the orchestration/control plane required to deliver a managed service (HA, upgrades, backups, scaling, automation, and operational safety).

• Break problems down and build consensus across multiple parties to reach solutions that are scalable, tractable, and timely.

• Function as both a problem solver and a problem finder by building the roadmap while delivering it.

• Leverage your experience to balance long-term thinking with more immediate business needs.

• Understand trade-offs between consistency, performance, scaling limits, and costs to build solutions which can meet the demands of rapidly growing services.

• Ensure operational readiness of the services and meet the commitments to our customers regarding durability, availability, performance, and security.

• Solve real business needs at large scale by applying your software engineering and analytical problem solving skills.

OUR IDEAL ENGINEERING MANAGER WILL HAVE:

• 10+ years of experience building and operating large-scale systems (distributed systems, databases, or cloud services).

• 3+ years of experience building, managing, and leading high-performing engineering teams (and experience leading managers is a strong plus).

• Strong track record of delivering large-scale, resilient systems and services in production.

• Significant experience in cloud environments (AWS, Azure, and/or GCP) and building services with high availability and operational rigor.

• Strong communication and collaboration skills, with the ability to drive cross-functional alignment and influence across org boundaries.

• Strong hands-on technical ability; comfortable navigating complex codebases and diving deep into system design and implementation.

• BS/MS in Computer Science or related majors, or equivalent experience.

• Postgres depth: experience with Postgres as an end user, operator, or administrator; strong understanding of database fundamentals and tradeoffs (consistency, performance, scaling limits, cost).

• OR

• Love of Postgres. You have worked with Postgres as an end user or administrator. You have a solid understanding of database fundamentals.