Principal Cloud Services Engineer, Snowflake

Salary not provided

MongoDB

AWS

GCP

Python

Java

Cassandra

Terraform

C++

Jenkins

Ansible

Azure

Puppet

Chef

JIRA

Git

Senior and Expert level

San Francisco Bay Area

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

AI Data Cloud for data sharing and app building

Job no longer available

AI Data Cloud for data sharing and app building

1001+ employees

B2BArtificial IntelligenceData storageEnterpriseAnalyticsMachine LearningSaaSData AnalysisCloud ComputingData Sharing

Job no longer available

Salary not provided

MongoDB

AWS

GCP

Python

Java

Cassandra

Terraform

C++

Jenkins

Ansible

Azure

Puppet

Chef

JIRA

Git

Senior and Expert level

San Francisco Bay Area

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

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

Multiple years experience with:
Software engineering or DevOps
Cloud computing (AWS, Azure, GCP, or others)
Distributed database systems (FoundationDB, Cassandra, MongoDB, etc.)
Experience in programming in at least one of the following languages: Java, Python, Go, C++
Experience with time-series based monitoring / observability systems
Experience with Cloud computing toolsets - Terraform, Vault, Packer etc
Experience with configuration management tools (Ansible, Pulumi, Chef, Puppet)
Firm grasp of TCP/IP networking and troubleshooting
Good knowledge of distributed systems, APIs, cloud computing patterns
Tremendous attention to details and ability to build reliable and scalable software systems
Effective communication and collaboration skills
Solid interpersonal skills conducive to a team environment
Able to debug, troubleshoot, and resolve complex technical issues
Self-driven & motivated, with a strong work ethic and a passion for problem solving
Experience and knowledge of Git, JIRA, and Jenkins a plus
Bachelor’s or Master Degree in Computer Science or related field
The position may require access to U.S. export-controlled technologies or technical data
Employment with Snowflake is contingent on Snowflake either verifying that you may legally access U.S. export-controlled technologies and technical data, or successfully obtaining by obtaining, in a timely manner, any necessary license or other authorization from the U.S
Government to allow you to have the ability to access U.S. export-controlled technology and technical data

What the job involves

Introduce tools to facilitate greater automation and operability of services
Architect, deploy, and scale observability infrastructure
Participate in on-call rotation and ensure uptime of services
Create runtime tools/processes that optimize cloud triaging and limit downtime
Define best practices around making our systems and services measurable
Work closely with our various teams to ensure those best practices get applied
Utilize your deep experience and problem solving skills to help prevent and investigate production issues
Plan and lead complicated technical projects that interact with a wide variety of teams within the company
Take a data-first approach that helps define the investments of the world's largest cloud service providers

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 organisations 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

SERIES G

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

Menlo Park, CA

Leadership

Benoit Dageville

(Co-Founder & President of Product)

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.

Sridhar Ramaswamy

(Chief Executive Officer)

Sridhar joined Snowflake in 2023 via the Neeva acquisition as SVP of AI and later became CEO. He co-founded Neeva and previously led Google’s Ads business, growing it from $1.5B to $100B.

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