Located in UK / Europe -  Remote

 #LI-Remote

 

As the leader in Data Creation, Snowplow empowers more than 10,000 organisations, including Strava, Burberry, Condé Nast and Flickr to create first-party customer behavioual data to unlock transformative AI and advanced analytics directly from their warehouse, lakehouse or in a real-time stream.

Snowplow was founded with the belief that data teams should spend their time innovating and driving competitive advantage, not extracting and wrangling behavioral data from CDP’s or digital analytics platforms.

Following our $40 million in Series B funding led by global venture capital firm, NEA, whose prior investments include Databricks, MongoDB, and Elastic, we are on the lookout for more creative and innovative individuals to help us shape our next chapter.

 

Our Private SaaS offering has grown significantly over the past year and we now orchestrate and monitor Snowplow event pipelines across more than 150 customer-owned AWS & GCP sub-accounts. Each account has its own individualised and optimised stack and all are capable of processing many billions of events per month. We have a new trial experience that helps prospects self-serve a cut down experience of Snowplow, also in their own cloud.

 

We are looking for another SRE to help us grow to managing 1,000 and then 10,000 AWS, GCP & Azure accounts. You will be pioneering solutions to managing estates of this size through cutting edge monitoring and automation. You’ll work closely with our SRE Lead on all aspects of our proprietary deployment, orchestration and monitoring stacks. Within all of our domains (full service, trial and our own) we are striving to increase service reliability, fulfil customer requests in a timely fashion, and automate recurring tasks. Task automation is essential, given our infrastructure estate scales linearly with our customer numbers, unlike most software businesses.

 

The challenge of automating the maintenance and deployment of thousands of individualised stacks is an enormously ambitious undertaking and a hugely exciting infrastructure automation challenge.

 

● Maintaining and developing our growing Terraform infrastructure-as-code stacks which we use to deploy infrastructure for all internal and client use cases

● Maintaining our internal infrastructure stacks which include the HashiCorp suite as well as our Snowplow BDP and VPNs

● Participating in our on-call rotation to help us serve our client base 24/7

● Taking rotations of L3 Technical Support where you will be responsible for triaging and dealing with infrastructure issues

● Handling high-severity internal or customer incidents, ensuring we meet all SLAs

● Has worked with AWS and/or GCP in a production capacity (Azure is a bonus)

● Has worked with Terraform, CloudFormation or some form of infrastructure-as-code tooling

● Any experience with the HashiCorp stack (Vault, Consul, Nomad) and understanding their role in infrastructure automation is a bonus

● Has worked with Docker and is familiar with container-based architectures (Kubernetes is a bonus)

● Knowledgeable about the Linux operating system and how to manage servers in a production capacity

● Knowledgeable about Cloud networking principles and how to troubleshoot issues in this space

● Comfortable scripting in one or more of: Bash, Python, Ruby or Perl

● Comfortable programming in one or more of: Java, Scala, Golang or Python

●  Experience working with online marketplaces would be a bonus