Role Proficiency:
Acts under minimum guidance of DevOps Architect to set up and manage DevOps tools and pipelines.
Outcomes:
Measures of Outcomes:
Outputs Expected:
Automated components:
Configured components:
Scripts:
Onboard users:
Mentoring:
Stakeholder Management:
Data Base:
Skill Examples:
Knowledge Examples:
Must Have - DevOps: Git, Jenkins Pipeline, Test Automation - Orchestration: Docker, Kubernetes - Scripting: Python, Linux Shell - OS: Linux (in-depth), Windows - Networking: network configuration and debugging - Cloud: Azure/OpenShift, Public Cloud management - Security Practices: Knowledge of critical cyber security controls Would Be Nice - Cloud: M365, AWS, etc. - Orchestration: Terraform, Cloudify, other IaC - SRE: Flux, Grafana, Splunk - Agile: Jira - Products: BigID Professional Skills - Experience working within Agile teams - Experience in product integration e.g., taking open-source products/tools and deploying/integrating them into an enterprise environment using DevOps methodologies - Knowledge of IT Service Management (ITIL) - Ability to quickly learn and understand proprietary technologies in a complex regulated environment - Self-starter with proven & demonstrable experience in technical & application support of enterprise systems - Excellent verbal and written communication skills coupled with a collaborative approach - An automation/orchestration mind-set, enable the product squads to spend more time coding and less time on manual processes Attributes - Passionate around automation, DevOps & SRE - Being comfortable with frequent, incremental code testing and deployment - Take a hands-on approach to implementing DevOps processes right from requirements analysis, test design, automation and analysis - Own the quality and timeliness of delivery - Communicate key issues and progress updates in a regular, accurate, timely fashion Additional Notes: 3-6 Years - One position Handling of dockers, images and work experience (3 months - 2 years hands-on) Kubernetes Must and should be very strong with fundamentals, basics and real hands-on Native Kubernetes concepts - AKS, AWS, on-premise, red hat OpenShift anything is fine Linux, shell scripting - moderate level experience required Observability - Grafana, Elastic search (anything is good) - need minimum experience Automated Pipeline (Jenkins to deploy - real hands-on) required Should be aware of basic Networking concepts Awareness of certifications is needed though certification is not mandatory (for Kubernetes and cloud) Helm / Helm chart is experience is preferably good orchestration wise - Kubernetes is needed and must Deployment of microservices - hands-on Okay with any cloud (AWS/AZURE) SSL Concepts, Moderate security knowledge ITSM concepts (incident, problem, change and release) is desirable
Kubernetes,Devops,Dockers
Keyskills: kubernetes continuous integration orchestration openshift aks bitbucket helm azure devops docker ansible git devops linux powershell jenkins debugging communication skills c# python github sonarqube elk automation testing maven microsoft azure puppet bamboo grafana .net iaas aws