Build the future of data.
Join the Snowflake team.
The team owns Snowflake’s asynchronous serverless task execution platform.
This is the platform used at Snowflake to run large scale sharded asynchronous services.
The framework currently supports 600+ services from various organizations at the company.
The team is responsible for the availability, scalability, multi-tenant, and useability of the platform.
Areas of work include autoscaling, sharding algorithms, workload scheduling, and observability.
We are looking at expanding our team to handle the next big challenges for Snowflake customers.
Our product offering runs on multiple cloud providers including Amazon Web Services, Microsoft Azure and Google Cloud.
Our infrastructure self-optimizes, provides high availability and data protection across cloud providers so our users can focus on using their data, not managing it.
In our effort to enable our Data Cloud vision, we are actively hiring talented distributed systems engineers.
This role is a unique opportunity to make a significant impact on our elastic, large scale, high-performance computing environment.
AS A PRINCIPAL SOFTWARE 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 cloud services.
Analyze fault-tolerance and high availability issues, performance and scale challenges, and solve them.
Mentor and grow junior engineers.
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:
6+ years of industry experience designing, building and supporting large scale infrastructure in production.
Experience building large scale distributed fault tolerant infrastructure.
Experience in container orchestration, cluster management, or autoscaling.
Excellent understanding of operating systems concepts including.
multi-threading, memory management, networking and storage, performance and scale.
Solid understanding of the internals of Kubernetes, Mesos, OpenShift, or other container platforms.
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.
Join a world-class team of both industry veterans and rising stars.
The following represents the expected range of compensation for this role:
The estimated base salary range for this role is 214,000-285,000.
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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