Job Description
Kubernetes container platform .
Manage cluster life cycle by deploying updates and OS patches in K8s clusters .
Build automation using GitOps .
Total 7 to 8 years' experience in Onprem systems and DevOps .
4 to 5 Years' experience in managing Kubernetes clusters in enterprise level .
Certified Kubernetes Administrator ( CKA certification ) is Mandatory .
Scripting knowledge in Python . Knowledge in Linux .
Good Communication skills. .
Knowledge in On Prem systems like VMware , Infrastructure and Network knowledge. optional(Cloud ( AWS / Azure / GCP)
General Information
Job Description: Expectations from this role:
Interprets the DevOps Tool/feature/component design to develop/support the same in accordance with specifications
Adapts existing DevOps solutions and creates relevant DevOps solutions for new contexts
Codes, debugs, tests and documents and communicates DevOps development stages/status of DevOps develop/support issues
Selects appropriate technical options for development such as reusing, improving or reconfiguration of existing components
Optimises efficiency, cost and quality of DevOps process, tools and technology development
Validates results with user representatives; integrates and commissions the overall solution
Helps Engineers troubleshoot issues that are Client/complex and are not covered by SOPs
Design, install, and troubleshoot CI/CD pipelines and software
Able to automate infrastructure provisioning on cloud/in-premises with the guidance of architects
Provides guidance to DevOps Engineers so that they can support existing components
Good understanding of Agile methodologies and is able to work with diverse teams
Knowledge of more than 1 DevOps toolstack (AWS, Azure, GCP, opensource)
Typical performance measures:
Quality of Deliverables
Error rate/completion rate at various stages of SDLC/PDLC
SLA/KPI for onboarding projects or applications
Stakeholder Management
Percentage achievement of specification/completeness/on-time delivery
Performance Areas:
Automated components
Deliver components that automates parts to install components/configure of software/tools in on
premises and on cloud
Deliver components that automates parts of the build/deploy for applications
Configured components
Configure tools and automation framework into the overall DevOps design
Scripts
Develop/Support scripts (like Powershell/Shell/Python scripts) that automate installation/configuration/build/deployment tasks
Training/SOPs
Create Training plans/SOPs to help DevOps Engineers with DevOps activities and to in onboarding users
Measure Process Efficiency/Effectiveness
Deployment frequency, innovation and technology changes.
Operations:
Change lead time/volume
Failed deployments
Defect volume and escape rate
Meantime to detection and recovery
Skill Examples:
Experience in design, installation and configuration to , to troubleshoot CI/CD pipelines and software using Jenkins/Bamboo/Ansible/Puppet /Chef/PowerShell /Docker/Kubernetes
Experience in Integrating with code quality/test analysis tools like Sonarqube/Cobertura/Clover
Experience in Integrating build/deploy pipelines with test automation tools like Selenium/Junit/NUnit
Experience in Scripting skills (Python, Linux/Shell, Perl, Groovy, PowerShell)
Experience in Infrastructure automation skill (ansible/puppet/Chef/Poweshell)
Experience in repository Management/Migration Automation – GIT, BitBucket, GitHub, Clearcase
Experience in build automation scripts – Maven, Ant
Experience in Artefact repository management – Nexus/Artifactory
Experience in Dashboard Management & Automation- ELK/Splunk
Experience in configuration of cloud infrastructure (AWS, Azure, Google)
Experience in Migration of applications from on-premises to cloud infrastructures
Experience in Working on Azure DevOps, ARM (Azure Resource Manager), & DSC (Desired State Configuration) & Strong debugging skill in C#, C Sharp and Dotnet
Setting and Managing Jira projects and Git/Bitbucket repositories
Skilled in containerization tools like Docker & Kubernetes
Knowledge Examples:
Knowledge of Installation/Config/Build/Deploy processes and tools
Knowledge of IAAS - Cloud providers (AWS, Azure, Google etc.) and their tool sets
Knowledge of the application development lifecycle
Knowledge of Quality Assurance processes
Knowledge of Quality Automation processes and tools
Knowledge of multiple tool stacks not just one
Knowledge of Build and release, Branching/Merging
Knowledge about containerization
Knowledge of Agile methodologies
Knowledge of software security compliance (GDPR/OWASP) and tools (Blackduck/ veracode/ checkmarxs)
Any Graduate