Junior DevOps Engineer

About The Position

Coralogix is a modern, full-stack observability platform transforming how businesses process and understand their data. Our unique architecture powers in-stream analytics without reliance on expensive indexing or hot storage. We specialize in comprehensive monitoring of logs, metrics, trace and security events with features such as APM, RUM, SIEM, Kubernetes monitoring and more, all enhancing operational efficiency and reducing observability spend by up to 70%.

Coralogix is hiring a DevOps Engineer to our Environments team. The team is responsible for managing cloud environments and multi-cloud deployments across AWS, GCP, IBM, and other platforms. The team goals are creation & maintaining of cloud environments and resources with efficiency and minimal effort.

As a DevOps Engineer, You Will

Creating cloud environments and resources "in a click" with IaC capabilities and internally developed tools, to make sure that each Coralogix environment is production-ready

Actively participate in defining and implementing our DevOps cloud environments (AWS, GCP, IBM) roadmap.

Work in high-scale environments - Coralogix data pipeline processes 55Tb of data each day.

Take full ownership of Kubernetes-based environments.

Impact and take an active part in the platform roadmap - our Platform is a product designed for engineers.

Give back to the community - speak at conferences, write blogs. Contribute to open-source projects and release new open-source software.

Requirements

• At least 2 years of experience as a DevOps Engineer from a Tech company
• In-depth familiarity with Kubernetes - operating & monitoring are key parts
• High familiarity with monitoring tools such as Coralogix, Grafana, Prometheus
• Experience in AWS or other cloud providers
• Experience with infrastructure as a code (Terraform, Pulumi, Crossplane, etc.)
• Understanding of networking - from networking layers to different networking protocols (http, grpc, ssl)
• Have strong English reading and writing skills, including the ability to clearly explain and document the work they have performed in written form.
• An advantage - operating data pipelines
• An advantage - familiarity with Apache Kafka