Tech Lead Senior Engineer, Snowflake

Service Infrastructure

$214-285k

Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan.

AWS

Java

C++

Azure

Expert level

San Francisco Bay Area

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

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

$214-285k

Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan.

AWS

Java

C++

Azure

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

10+ years industry experience designing, building and supporting large scale systems in production
Past experience of leading large cross-functional teams
Experience building large scale distributed fault tolerant services
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 is preferred
Track record of identifying and implementing creative solutions
Experience with cloud infrastructure - AWS, Azure or Google Cloud
BS in Computer Science; Masters or PhD Preferred

Desirable

Prior experience of building “Observability-first” software and driving a culture around Observability within the team and the broader organization
Prior experience of driving software resiliency initiatives across the organization by building chaos testing and fault-injection frameworks
Prior experience of leading efforts around monitoring & diagnosability tooling in order to help engineers diagnose issues in production faster and perform RCA (root cause analysis)

What the job involves

Our team is called the Service-runtime team. We are responsible for building the highly available, scalable, multi-tenant “Cloud services” systems that underpin Snowflake services
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 services layer
Analyze fault-tolerance and high availability issues, performance and scale challenges, and solve them
Lead 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 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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