Senior DevOps Engineer (Remote) at Noves | Torre

Senior DevOps Engineer (Remote)

Emma highlights
This highlight was written by Emma’s AI. Ask Emma to edit it.
Full-time

Legal agreement: Employment

Provide your expected compensation while applying
location_on
Remote (for Uruguay residents)
Match
skeleton-gauges
You have opted out of job matches in .
To undo this, go to the 'Skills and Interests' section of your preferences.
Review preferences
Posted 6 months ago

Requirements and responsibilities


Note: Before you apply, make sure to check out our careers page at noves.fi/careersWe're looking for an experienced DevOps engineer to join our growing team.We build complex systems in a cloud-native environment, using a microservices architecture, connecting with myriad external systems, responding to a problem space that changes constantly. We're a .NET shop and we leverage Azure's offerings across the board.You'll be working closely with software engineers and leadership in managing our growing infrastructure. At the same time, you'll be a one-person team. You're expected to bring expertise and experience across the entire infrastructure stack. And to be able to make good, independent decisions on what to use, where to use it, and how to remain cost-effective.This is a senior-level position. To be considered, you must have a strong background in most of the following (with Azure-specific experience a requirement):DockerKubernetesHelmArgocdAzure Functions / KEDAAzure DevOps pipelines and artifactsCI/CDGitOps and IaC, including:TerraformPulumiPythonAzure Storage Queues and Azure Service BusCosmosDBMySQL / PostgresAzure Active Directory.NET coreCloud networking (VNets, peering, firewalling, VPN)Linux sysadmin and bashService mesh (Istio, etc)You'll be responsible for managing .NET Core deployments in a k8s environment, with Linux base containers. You must be equally comfortable in Microsoft technologies (Azure cloud and .NET core) and Linux environments.It's a plus if you're also familiarized with Microsoft's O365 stack, and if you've done large-scale data warehousing deployments.