Principal Software Engineer - Elastic Global Services
About The Position
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. The Elastic Global Services 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. To learn more about the team’s tech stack, see our recent talk at ACM Symposium on Cloud Computing! https://acmsocc.org/2022/assets/slides/99.pdf
Requirements
- 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.
Responsibilities
- Solving 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.
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What This Job Offers
Job Type
Full-time
Career Level
Principal
Education Level
No Education Listed
