This is a hybrid role, with 2-3 days a week working from home.
What youll be spending your time on:
Create and maintain CI/CD pipelines for the company''s products
Building and maintaining high-performance, fault tolerant, scalable ALM system, from Version control, Builds and Deployments to Monitoring and configuration management
Maintain the application layer of our public cloud and private cloud
Develop and integrate infrastructure tools in support of our production system
Automate the Provisioning and configuration of Windows/Linux environments
Work closely with product, QA, developers and IT/operations departments to streamline their working methods
As a core member of the team, you will participate in ''On-Call'' duties on production systems, working in non-conventional hours include weekends and holidays (from time to time)Is this you?
Have you done this kind of stuff?
BS degree in computer science, computer engineering, relevant technical discipline or equivalent practical experience
At least 5+ years experience as DevOps Engineer
A minimum of 3 years of exposure running production workloads (AWS, Azure or GCP)
Microservices architecture & container orchestration (Docker and Kubernetes)
Experience with CI/CD tools and source control management tools (e.g., Git, Azure DevOps, SonarQube, Artifactory etc...)
Experience with GitOps (e.g., ArgoCD or Flux)
Experience with Configuration Managements tools like Chef, Ansible or Puppet
Proven Scripting capabilities: PowerShell/Bash/Python
High level Linux OS expertise
Programming experience skills (C#, NodeJS - advantage)
Experience managing application servers and web servers
Strong troubleshooting skills
Experience with monitoring and logging solutions (e.g. Prometheus, Grafana and ELK)
Proactive by nature; internal drive for excellence and improvement
Not a must but a great advantage:
Experience in SQL
Experience with software development and development frameworks
Experience with event streaming and messaging platforms such as Kafka, RabbitMQ
Provisioning and operating NoSQL databases such as MongoDB, Redis, Elasticsearch
Knowledge and understanding Storage and Networking