TileDB

Site Reliability Engineer (US timezones)

Remote Cambridge, MA
Redis MariaDB Go Kubernetes GCP Azure Terraform C++ Python
Description

We are looking for a Site Reliability Engineer to join our dedicated infrastructure team and help us develop, maintain and administer our TileDB Cloud product. Your key responsibilities will include managing, configuring and deploying infrastructure components such as Kubernetes clusters, Redis, MariaDB, Cloudflare workers as well as developing tools to automate them. You will help to expand TileDB Cloud to other cloud providers such as Google Cloud, Microsoft Azure and Alibaba Cloud, along with improving our existing multi-region setup. You also will assist with establishing deployments of TileDB Cloud Enterprise edition for on-premise use.

Location

Our headquarters are in Cambridge, MA, USA and we have a subsidiary in Athens, Greece. You will have the flexibility to work remotely as long as your legal residence is in the USA and your normal working day falls within a continental US timezone.

Expectations

In your first 30 days, you will familiarize yourself with TileDB, TileDB Cloud and our Kubernetes infrastructure. After 30 days, you will be fully integrated in our team. You’ll be an active contributor and maintainer of the TileDB Cloud infrastructure, and ready to start adding additional functionality.

  • In-depth experience using Kubernetes for production service deployments
  • Obsessed with infrastructure as code (we use Terraform)
  • Experience running and managing databases
  • In-depth knowledge of Linux, networking, and common protocols (DNS, HTTP, TCP etc.)
  • Experience with performance monitoring tools (Prometheus, Cloudwatch, etc)
  • Software engineering experience
  • An automate-everything mindset
  • Willing to handle on-call responsibilities as part of a team

Nice-to-have

  • Software development experience with Go, C++, or Python
  • Experience operating, testing, and debugging multi-language or distributed applications
TileDB
TileDB
Analytics Big Data Computer Data Storage Software

1 applies

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