Senior Software Engineer, Snowflake

AI Observability

$187-276k

+ Bonus and equity

Python

Java

C++

Senior 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

$187-276k

+ Bonus and equity

Python

Java

C++

Senior 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

Bachelor’s degree in Computer Science, Engineering, or a related field. Master’s degree preferred
Proven experience (5 plus years of experience) in designing and developing production systems for Machine Learning and AI
Proficiency in programming languages such as Java, C++ or Python
Experience developing or using observability infrastructure such as OpenTelemetry for large-scale applications is a plus
Excellent problem-solving skills and ability to troubleshoot complex issues in a production environment
Strong communication skills and ability to collaborate effectively in a team environment
Ability to adapt to a fast-paced and evolving technological landscape
Experience contributing to and maintaining open source is a plus

What the job involves

Build the future of the AI Data Cloud. Join the Snowflake team
In this role, you will be responsible for building critical infrastructure that ensures the accuracy, relevance, and overall quality of agentic AI applications built by our users
You will collaborate closely with researchers, software engineers, and product managers to develop the leading AI application observability and optimization platform
Design and implement scalable and efficient tracing and event processing for large-scale data ingestion
Develop algorithms and models for evaluating relevance, hallucination, safety of agentic AI systems
Optimize evaluation performance through improvements in inference infrastructure and distributed computing techniques
Implement monitoring and analytics tools to track application quality metrics and user interactions
Collaborate with cross-functional teams to integrate agentic AI apps built at snowflake into the observability platform
Stay updated with industry trends and advancements in agentic AI to continuously enhance search quality
Provide insights and recommendations to stakeholders on enhancing user experience through better AI quality

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.

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.

Salary benchmarks

We don't have enough data yet to provide salary benchmarks for this role.

Submit your salary to help other candidates with crowdsourced salary estimates.

Share this job

View 202 more jobs at Snowflake