Key purpose:
As a DevOps Engineer youll be responsible for maintaining and improving our production infrastructure. You will work with the Operations team to ensure that all servers are running at peak performance. You will also manage the server inventory in order to keep track of all hardware software and network devices used within the company.
Duties and responsibilities:
- Build scalable efficient cloud infrastructure solutions
- Effectively utilize monitoring and logging tools to identify root cause
- Expert in working and deploying to Kubernetes
- Expert in Bash and groovey scripting
- Implement automation tools and frameworks (CI/CD pipelines)
- Build Manage and Support environments in Azure and AWS cloud
- Deploy updates and fixes via automated pipelines
- Troubleshoot production issues and coordinate with the development team to streamline code deployment
- Evaluate existing applications and platforms recommend and implement alternative solutions for enhancing performance
- Conduct systems tests and manage security performance and availability
- Design develop and implement software integrations
- Analyze code and communicate detailed reviews to development teams to ensure a marked improvement in applications and the timely completion of projects
- Develop and maintain design and troubleshooting documentation
Qualifications and experience:
- . Degree in Computer Science
- 5 years experience as a DevOps Engineer or equivalent software engineering role
- Expert in code deployment tools (Puppet Ansible and Chef)
- Managing AWS infrastructure which includes setup monitoring and alerts resource allocation and deployment architecture
- Automation of development processes (CICD)
- 5 years experience in Kubernetes support and deployment
- 4 years experience in writing and supporting Jenkins files
- Working knowledge of GrooveyRuby or Python and known DevOps
- Working knowledge of GitHub with Github actions and Github runners
- Expert in building Helm charts and continuous deployment strategies
Required skills:
- AWS and Azure Cloud
- Jenkins
- Strong Linux skills
- Kubernetes
- Ansible
- Terraform
- Puppet
- CFEngine
Knowledge of:
- SDLC
- Bashscripting
- Jenkinsfile (pipeline as code)
- Kubernetes management
- Configuration Management Tools (Cfengine Chef etc)
- Java runtime configuration
- Monitoring tools (Dynatrace ELK Grafana Prometheus)