Principal Software Engineer, Snowflake
Cluster Management
$243-379.5k
+ Bonus and equity plan
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
Open for applications
$243-379.5k
+ Bonus and equity plan
3-5 days a week in office (Menlo Park, CA)
1001+ employees
Company mission
On a mission to mobilize the world's data.
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.
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