As a DevOps engineer, you’ll be helping to manage and scale our
infrastructure that handles superlinear data growth. This will involve
planning, designing and getting hands-on with improving a data-ingestion
pipeline and web-services that must be able to process thousands of
items per second. We’re committed to containerisation across our
infrastructure and are currently using Docker and Kubernetes to pave the
way.
At EDITED, DevOps is important, and the whole team is committed to
good practice. you’ll work with the rest of the team to make sure
everything's running smoothly. This isn’t an isolated role (we won’t be
locking you in the data centre) so we’re looking for someone who values
collaboration and knowledge sharing.
Requirements
Essential:
Experience in server management (our infrastructure is mostly Ubuntu and CentOS Linux on dedicated hardware)
Experience with automated configuration management
Ability to react quickly and recognise room for improvement before bottlenecks occur
Experience with configuring SQL and NoSQL databases
Networking skills & experience. IPv6, routing, subnetting and VPN management
Experience with continuous integration systems (such as Jenkins)
Desirable:
Experience with Python
Experience with Docker and ideally, Kubernetes
Experience with Ansible or similar config management tools
Experience with MariaDB and NoSQL technologies like Riak
Experience with AWS, specifically Route53 and S3
Good understanding of security
Interest in integrating or building monitoring and alerting systems
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