Principal Software Engineer, Snowflake

Cluster Management

$243-379.5k

+ Bonus and equity plan

Kubernetes

Expert level

San Francisco Bay Area

3-5 days a week in office ( San Mateo, CA)

Cloud data platform providing data warehouse-as-a-service for the cloud

Be an early applicant

Cloud data platform providing data warehouse-as-a-service for the cloud

1001+ employees

B2BArtificial IntelligenceData storageEnterpriseAnalyticsMachine LearningSaaSData AnalysisCloud ComputingData Sharing

Be an early applicant

$243-379.5k

+ Bonus and equity plan

Kubernetes

Expert level

San Francisco Bay Area

3-5 days a week in office ( San Mateo, CA)

1001+ employees

B2BArtificial IntelligenceData storageEnterpriseAnalyticsMachine LearningSaaSData AnalysisCloud ComputingData Sharing

Company mission

On a mission to mobilize the world's data.

Job

Company

Role

Who you are

15+ 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

What the job involves

We are the Elastic Global Services team. The team is responsible for building the highly available, scalable, multi-tenant “Cloud Services” platform that underpin Snowflake services
Areas we work on include, the autoscaling of VMs from cloud providers, managing topologies of our compute clusters, cluster management, workload orchestration and many others. 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
Solve 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
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

Our take

Developed as a fresh alternative to the archaic systems of data governance and information silos, Snowflake is a frictionless cloud data platform that removes the barriers preventing organizations of all sizes from unleashing the true value of their data.

The company equips organizations with a single, integrated platform that offers the only data warehouse built for the cloud; instant, secure and governed access to their entire network of data; and a core architecture to enable many types of data workloads, including a single platform for developing modern data applications.

Major competitors include Azure, SQL and AWS, and Snowflake has managed to keep ahead of the competition, cementing itself as a global force. Across its 1300+ partners, the company's cloud manages over 250PB of data (with more than 515 million data workloads running every day). Its continued focus on product R&D and partnership expansion have Snowflake well-positioned to manage itself amidst the competition.

Freddie

Company Specialist at Welcome to the Jungle

Company

Funding (last 2 of 9 rounds)

Feb 2020

$479m

LATE VC

Oct 2018

$450m

LATE VC

Total funding: $1.4bn

Company benefits

Comprehensive health insurance plans
Health savings accounts
Robust retirement plans
Life and disability insurance
Weekly online lunch and learns
Virtual workout classes
Ergonomic work-from-home equipment
On-demand mental health and wellness programs
Fertility benefits and family planning resources
Generous time-off and various leave plans
Onsite and Remote Work
Employee discounts and pre-tax selections
New hire equity + Employee Stock Purchase Plan (ESPP)
Quarterly bonus or commission program

Company HQ

Bozeman, MT

Leadership

Benoit Dageville

(Co-Founder)

Benoit, a leading expert in parallel execution and self-tuning databases, founded Snowflake after 10+ years at Oracle as a lead architect. He holds a PhD in Computer Science and has 270+ patents.

Thierry Cruanes

(Co-Founder)

Thierry is a leading expert in query optimization and parallel execution. He has a PhD in Computer Science with a focus in Database Systems and is a named inventor on 200+ patents.

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