Glean is seeking to build and evolve a highly available, performant, secure, and cost-effective infrastructure across all clouds to power its Work AI platform
Requirements
- 3+ years of experience in a role working with AWS and/or GCP IaaS services eg. compute, object storage, iam, networking, vpc
- Experience with Terraform, K8s (GKE/EKS), Data Pipelines (Beam/Flink/Kafka/PubSub/SQS), ML Pipelines, Object Storage (S3/GCS), Big Query, etc. is a plus
- Experience managing large scale cloud infrastructure with IaC
- Highly proficient with modern Unix/Linux operating systems/distributions
- Experience defining SLOs/SLIs and implementing monitoring, alerting, and runbooks
- Bachelor's degree (or equivalent) in Computer Science or related field
- Experience with automation, autoscaling, and reliable alerting/monitoring
Responsibilities
- Oversee the entirety of your greenfield features from inception to implementation, experimentation, launch and beyond
- Provide leadership and mentor more junior engineers
- Work with designers, product managers, data scientists, and other engineers to understand our problem space and create elegant solutions
- Write robust code that’s efficient, easy to read, maintain and test
- Deliver complex components with elegant automation, robust uptime guarantees, autoscaling, and reliable alerting/monitoring for infrastructure that runs across multiple cloud providers
- Build and evolve the platform that powers a highly available, performant, secure and cost effective infrastructure across all clouds
- Work closely with several other teams to support their workloads
Other
- Autonomous. You own what you work on. You move fast and get things done
- Excellent communication. You will need to communicate complex ideas effectively to both technical and non-technical audiences, and both verbally and in writing
- Collaborative. You must work collaboratively in a cross-functional team and with people at all levels in an organization
- Adaptable. Goals can change fast. You anticipate and react quickly
- Bachelor's degree (or equivalent) in Computer Science or related field
