Forward Deployed Software Engineer, Snowflake

$195-287.5k

This role is eligible to participate in Snowflake’s bonus and equity plan

AWS

Kubernetes

GCP

Python

Java

Terraform

C++

Azure

Snowflake

Golang

Pulumi

Senior and Expert level

San Francisco Bay Area

3-5 days a week in office (Menlo Park, CA)

AI Data Cloud for data sharing and app building

Open for applications

AI Data Cloud for data sharing and app building

1001+ employees

B2BArtificial IntelligenceData storageEnterpriseAnalyticsMachine LearningSaaSData AnalysisCloud ComputingData Sharing

Open for applications

$195-287.5k

This role is eligible to participate in Snowflake’s bonus and equity plan

AWS

Kubernetes

GCP

Python

Java

Terraform

C++

Azure

Snowflake

Golang

Pulumi

Senior and Expert level

San Francisco Bay Area

3-5 days a week in office (Menlo Park, 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

7+ years of industry experience designing and supporting large-scale distributed systems in production, with recent experience in deploying at public sector customers
In-depth experience with storage systems, cloud infrastructure and IaC tools such as Terraform or Pulumi etc
Strong CS fundamentals including data structures, algorithms, and distributed systems
In-depth development skills in Java, C++, Golang or Python
Experience with database systems and database internals
Experience with public cloud platforms such as AWS, Azure, or GCP
Advanced degree in Computer Science or related degree

What the job involves

Running Snowflake in public sectors in different countries and regions, even in different industry verticals, requires us to build a compliant, secure, and auditable infrastructure
Many key design decisions are deeply rooted in the Snowflake product architecture
As a Forward Deployed Software Engineer, you will be responsible for leading several key areas and collaborating with various engineering groups in addition to the Public Sector team
To be successful in the area, you will need to have (and continue to build) a broad and in-depth knowledge base on cloud infrastructure, privacy, and governance, compliance controls, data security and data residency in various aspects of Snowflake
Solve real business needs at large scale by applying your software engineering and analytical problem solving skills
Design, implement and maintain scalable distributed systems for our cloud automation platform that include cloud control plane, Kubernetes container platform and traffic and networking
Work directly with customers to quickly understand their critical problems and design and implement solutions
Deploy and maintain availability of cloud compute servers and Kubernetes cluster that power the Snowflake platform in sensitive (sometimes air-gapped) production environments
Implement software delivery pipelines that support continuous delivery and automatic compliance in sensitive runtime environments
Ensure operational readiness of the services and meet the commitments to our customers regarding security, reliability, availability, and performance
Collaborate closely with product teams on requirements & SLOs for deploying software into air-gapped environments
Identify, troubleshoot, and solve network & systems issues
Script to automate away routine operational tasks

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

Insights

Top investors

37% employee growth in 12 months

Glassdoor (3.9)

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.

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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