Build the future of data.
Join the Snowflake team.
A massive new market opportunity is being created at the intersection of Cloud and Data, and the Snowflake Data Cloud is leading the way, all powered by the database engine we are building from the ground up.
Key to Snowflake’s Database Engine is our large scale distributed transactional Key-Value store - called FDB - which powers all of Snowflake’s products and services and is rapidly evolving to meet Snowflake’s future needs.
Our teams breed ambition, challenge ordinary thinking, push the pace of innovation, in-service of the exploding demand for accessible data.
Snowflake is growing fast and we’re scaling our team to help enable and accelerate our growth.
We’re passionate about our people, our customers, our values and our culture! We’re also looking for people with a growth mindset and the pragmatic insight to solve for today while building for the future.
And as a Snowflake employee, you will be accountable for supporting and enabling diversity and belonging.
We are looking for an outstanding performance engineer to join the team and improve FDB performance, scalability, and reliability along with Snowflake’s constantly growing needs for a faster and larger database.
AS A PERFORMANCE ENGINEER ON THIS TEAM, YOU WILL:
Analyze FDB performance and scalability, identify bottlenecks, and recommend and develop improvements in FDB.
Analyze production workloads, and develop synthetic workloads, chaos workloads and benchmarks.
Develop tools to profile performance at runtime e.
g.
perf, eBPF, kernel tracing, flame graphs.
Explore new execution hardware and new cluster configurations that improve the overall resource efficiency of the system.
Evangelize best practices in database usage and end-to-end architecture.
Participate in the design and implementation of next generation systems.
AN IDEAL CANDIDATE WILL HAVE:
8+ years hands-on software engineering experience.
BS/MS/PhD in computer science (or equivalent)
Expertise in identifying and analyzing performance bottlenecks
Solid understanding of OS and systems concepts like process management, concurrency, memory management, IO patterns, file systems, block storage devices, etc.
Work experience in cloud environments like AWS, Azure, GCP
Ability to work effectively both autonomously and in teams
Strong technical problem solving, communication, and collaboration skills
Excitement by the challenge of hard technical problems
Intense curiosity and willingness to question
BONUS POINTS:
Familiarity with C++
Good working knowledge of Linux / Unix OSes
Have worked on performance analysis for databases
Knowledge of NoSQL, SQL databases and database storage engines
Understanding of relational database concepts and SQL
Experience with continuous integration and automation frameworks e.
g.
Jenkins, Kubernetes etc.
About Snowflake:
Snowflake SIGMOD 2016 paper
About FoundationDB, the database Snowflake FDB is based on:
FDB SIGMOD 21 Paper
FoundationDB Summit 2018 and FoundationDB Summit 2019
How FDB powers Snowflake Metadata Forward!
The following represents the expected range of compensation for this role:
The estimated base salary range for this role is $187,000 - $252,000.
Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan.
The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.
This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth.
We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
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