Address
Form of workThere is only one Data Cloud.
Snowflake's founders started from scratch and designed a data platform built for the cloud that is effective, affordable, and accessible to all data users. But it didn't stop there. They engineered Snowflake to power the Data Cloud, where thousands of organizations unlock the value of their data with near-unlimited scale, concurrency, and performance. This is our vision: a world with endless insights to tackle the challenges and opportunities of today and reveal the possibilities of tomorrow.
A major part of this offering is ensuring that customers' workloads are running efficiently and showing customers that they are getting the value they deserve out of the workloads they are running. To do that we need to provide customers with transparency, controls and optimizations around their costs.
The Cost Optimization Team at Snowflake is responsible for executing on providing this functionality to customers. We have started by ensuring our customers know exactly what their costs are and providing clear controls over where they are spending that fit into their existing business workflows. We will fast follow with insights into explicit optimizations our customers can perform to be even more efficient with their spend. Over time, the team will delight users by automatically optimizing customer workloads so that they get the best return on their spend.
We are actively hiring talented distributed systems developers. This role is a unique opportunity to make a significant impact in shaping the vision, architecture and approach for the core services that the rest of Snowflake operates on.
AS A SENIOR DISTRIBUTED SYSTEMS ENGINEER AT SNOWFLAKE YOU WILL:
Solving real business needs at large scale by applying your Software Engineering and analytical problem solving skills
Design and implement scalable distributed systems for our services layer.
Analyze fault-tolerance and high availability issues, performance and scale challenges, and solve them.
Deal with data correctness problems at large scale across thousands of customers.
Leading cross-functional initiatives, and collaborating with engineers, product managers and Technical Program Managers across teams
Understand trade-offs between consistency, durability 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 availability and performance.
OUR IDEAL DISTRIBUTED SYSTEMS ENGINEER WILL HAVE:
9+ years industry experience designing, building and supporting large scale systems in production.
2+ years experience in leading a group of junior and senior engineers.
Experience building large scale distributed fault tolerant services and control planes including components of compute, storage and networking configuration and monitoring.
Excellent understanding of low level operating systems concepts including multi-threading, memory management, networking and storage, performance and scale.
Strong CS fundamentals including data structures, algorithms, and distributed systems.
Systems programming skills including multi-threading, concurrency, etc. Fluency in C++ or Java preferred.
Track record of identifying and implementing creative solutions.
BS in Computer Science; Masters or PhD Preferred.
WHY JOIN THE ENGINEERING TEAM AT SNOWFLAKE?
Build an industry-leading Cloud Data Platform.
Solve challenging technical problems related to security, parallel and distributed systems, programming, resource management, large-scale system maintenance, and more!
Work closely with our customers & partners, understand their use cases & needs, think strategically to seek the right problem to solve at the right time, and innovate with rigor.
Learn about and contribute to:
Super-robust and secure enterprise SaaS platform that services thousands of customers and hundreds of millions of complex queries daily. Highly-scalable and reliable cloud platform that runs on hundreds and thousands of machines.
Optimizing performance and resource management in Java systems.
Join a world-class team of both industry veterans and rising stars.
