Our team is developing a network operating system driving white box switches and routers. The NOS is deployed in on-premise cloud data centre settings of our enterprise and MSDC customers.
We are looking for experienced DevOps Engineers to join our team to design, deploy and operate the development infrastructure and various internal services used by the software engineers and QA testing engineers.

Required
 Experience operating Linux servers (VMs) at system administrator level (preferably
Debian family)
 Network Engineering — Ethernet/IP networking (CCNA or equivalent)
 Knowledge of virtualisation and containerisation (prepare QEMU/KVM VM config,
package apps in Docker containers)
 Bash and Python scripting (able to automate tasks with scripts, know how to write a
script from scratch, able to interpret and change existing scripts ~10k lines or more)
 SCM (Git) and Git Flow knowledge: branching, rebasing, merge requests

Heres what you will be doing
Develop and operate software solutions and CI/CD infrastructure used by the software
development team, consisting of the following services:




 SSO (self-hosted)
 Corporate VPN (for example, Wireguard, OpenConnect)
 GitLab (self-hosted)
 Build servers: Debian Linux VMs with Docker containers
 Jenkins CI containerised in dedicated Debian VMs
 Mattermost (self-hosted)
 Various nginx based servers in a reverse proxy capacity (alternatively — traefik or
Caddy instances)
 ELK stack for centralised log collection and analytics
 Grafana monitoring instance
 JIRA cloud-hosted instance
 Vault by Hashicorp
 Micro API services based on Django or Flask frameworks (typically utilised for runtime
state storage for internal services and CI/CD pipelines)
 NetBox IPAM

Game changing skills

 Experience with the ELK software stack
 Experience designing pipelines-as-code in Jenkins CI (CloudBees)
 Experience writing scripts in Apache Groovy DSL
 Experience of building service APIs based on Django or Flask framework

📌 Devops Engineer Mumbai
🏢 MBR Partners
📍 Mumbai