Production Software Engineer

April 9

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Logo of Snowflake

Snowflake

Snowflake is a cloud-based data-warehousing company that provides an innovative platform for data storage, processing, and analytics. It enables organizations to handle large volumes of data efficiently, facilitating insights and business intelligence. Snowflake's architecture supports various data workloads, making it a versatile solution for enterprises looking to leverage their data for strategic decision-making.

Data Warehousing โ€ข Cloud โ€ข Analytics โ€ข Data Lake โ€ข Marketing Analytics

5001 - 10000 employees

Founded 2012

๐Ÿข Enterprise

โ˜๏ธ SaaS

๐Ÿ“‹ Description

โ€ข Build the future of the AI Data Cloud. Join the Snowflake team. โ€ข Snowflake customers have more than 3.9 billion queries and more than 515 million data workloads that run each day. Build the future of data. Join the Snowflake team. โ€ข The Snowflake Cloud Engineering team is a global team of high performing engineers focused on building best in class tooling, automation, and a scalable infrastructure platform to run the Snowflake service. โ€ข We are looking for talented and passionate Production Software Engineers to join our Traffic & Networking team in Dublin, Ireland. โ€ข Interested in joining us to solve these complex platform engineering challenges?

๐ŸŽฏ Requirements

โ€ข BS/MS in Computer Science/Engineering or related major, or equivalent experience. โ€ข A track record of planning, running and delivering cross team projects โ€ข Experience with at least one advanced programming language such as C++, Java, Go, Python โ€ข Experience with running HTTP, DNS and TLS infrastructure โ€ข Hands on experience with one of more public cloud providers such as AWS/Azure/GCP โ€ข Experience with Traffic/Edge Engineering or Cloud Networking โ€ข Experience with automating operations (e.g., software deployments, config changes) at scale โ€ข Hands-on experience with Infrastructure-as-Code (e.g., Terraform, Ansible, AWS CloudFormation, Chef, Puppet) โ€ข Experience with core SRE/Production Engineering best practices (e.g., designing for operability and scalability, adopting SLOs, eliminating toil, leading incident responses, driving blameless post-mortems) โ€ข Evidence of engineering leadership through design ownership and reviews, mentoring, contributing to technical roadmaps, and driving process improvements

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