SRE / DevOps Engineer

Job description

We’re a high-performing team on a mission to build the number one media owner platform in the world.

As a key member of the Cloud Platform and Site Reliability team, you’ll be working with talented, cross-functional, highly-motivated international teams, acting as a bridge between application developers and the underlying infrastructure, strengthening the DevOps culture, working with innovative technologies, and ensuring that our systems are ready for Internet scale.

For more information please contact:

Mihajlo Ristovski, People Operations Manager
gsm: +389/75/336779
Or learn more about us at ldsk.io


Job requirements

What you’ll be doing

  • Ensure that our applications are meeting our operation, availability, monitoring, and performance standards throughout our different environments

  • Prepare Continuous Integration and Continuous Delivery pipelines

  • Manage and provision cloud with Infrastructure as a Code tools

  • Contribute to our Kubernetes orchestrated infrastructure on our cloud platforms

  • Creation of automation tasks and processes

The stack

  • Kubernetes

  • Docker

  • Google Cloud, AWS, Azure

  • Linux (Ubuntu, Debian)

  • Jetbrains TeamCity

  • ArgoCD

  • GitOps

  • MongoDB

  • PostgreSQL

  • Terraform

  • Ansible

  • ELK stack

  • Prometheus stack

What you’ll need

  • University degree in Computer Science or equivalent experience

  • Cross platform configurations and troubleshooting (Windows, Linux)

  • Basic knowledge of container orchestration specifically Kubernetes

  • Good understanding of configuration and troubleshooting of Linux, PHP/.Net Core, Docker systems.

  • Basic knowledge of Public cloud concepts

  • Are good in working together with colleagues from different disciplines;

  • Passion for resolving reliability issues and identify strategies to mitigate going forward

  • Excellent command / highly proficient in spoken and written English

What will help

  • Network and system analysis experience

  • Linux system-level analysis capabilities

  • Basic software engineering skills ideally with experience in Python and/or /C#

  • Basic knowledge of containers and Kubernetes

  • Basic knowledge of Cloud Computing platforms