Kubernetes DevOps Engineer (Remote)

We are looking for an experienced DevOps Engineers interested in building, maintaining, and scaling PlaidCloud on Kubernetes. This position requires a keen eye for detail to ensure consistency in provisioning and high availability of resources.

The position is also responsible for supporting many customer deployments through Kubernetes automation such as use of HPAs and VPAs to ensure good resource usage while maintaining a highly responsive system.

Key responsibilities include:

Staging servers and automated provisioning for Kubernetes cluster

Utilize ArgoCD ApplicationSets to manage many isolated deployments

Monitoring and managing databases and file backups using disk snapshots, Google Cloud Storage, and other approaches

Automate restoration of databases and backups

Monitoring and managing RabbitMQ in a high availability configuration

Managing and monitoring a Greenplum database clusters in a high availability shared nothing configuration

Managing and monitoring Redis in a high availability configuration

Monitoring server performance and optimizing server selection and cost

Deploy new machines as required to meet demand. Automate where possible.

Manage SSL certificates, firewalls, load balancers, and other infrastructure through our infrastructure provider

Monitor and test system intrusion processes

Manage and configure DoS prevention tools

Make recommendations and work with software development teams to improve infrastructure usage and simplify design where possible

Deploy and improve logging and monitoring metrics to support insight and prioritize engineering changes

Improve the use of tracking metrics to better understand usage patterns

Work with the software development teams to close testing gaps and support continuous integration processes

Ensure a Kubernetes first approach with highly automated processes, best practices, and good resource usage Ideal Qualifications

Strong familiarity with DevOps processes and approaches, especially with GitOps Kubernetes solutions

Experience with deployment tools and deployment automation

Strong understanding of Linux/Unix configuration processes

Strong understanding of security best practices

Strong understanding of Jenkins and Github Actions automation pipelines

Strong written communications skills Bonus Qualifications

Experience with ArgoCD

Experience with Google Kubernetes Engine (GKE)

Experience with Greenplum databases

Experience with Python

Experience with Redis

Experience with RabbitMQ

Experience with Apache Superset

Experience with network and web application security

Experience with Git/GitHub automation