Devops+GCP

Job Description

Role Proficiency: Level of Proficiency: Act under guidance of DevOps; leading more than 1 Agile team. Outcomes: 1. Interprets the DevOps Tool/feature/component design to develop/support the same in accordance with specifications 2. Adapts existing DevOps solutions and creates relevant DevOps solutions for new contexts 3. Codes, debugs, tests and documents and communicates DevOps development stages/status of DevOps develop/support issues 4. Selects appropriate technical options for development such as reusing, improving or reconfiguration of existing components 5. Optimises efficiency, cost and quality of DevOps process, tools and technology development 6. Validates results with user representatives; integrates and commissions the overall solution 7. Helps Engineers troubleshoot issues that are novel/complex and are not covered by SOPs 8. Design, install, and troubleshoot CI/CD pipelines and software 9. Able to automate infrastructure provisioning on cloud/in-premises with the guidance of architects 10. Provides guidance to DevOps Engineers so that they can support existing components 11. Good understanding of Agile methodologies and is able to work with diverse teams 12. Knowledge of more than 1 DevOps toolstack (AWS, Azure, GCP, opensource) Measures of Outcomes: Measures: 1. Quality of Deliverables 2. Error rate/completion rate at various stages of SDLC/PDLC 3. # of components/reused 4. # of domain/technology certification/ product certification obtained 5. SLA/KPI for onboarding projects or applications 6. Stakeholder Management 7. Percentage achievement of specification/completeness/on-time delivery Outputs Expected: 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: Skill Examples: 1. Experience in design, installation and configuration to , to troubleshoot CI/CD pipelines and software using Jenkins/Bamboo/Ansible/Puppet /Chef/PowerShell /Docker/Kubernetes 2. Experience in Integrating with code quality/test analysis tools like Sonarqube/Cobertura/Clover 3. Experience in Integrating build/deploy pipelines with test automation tools like Selenium/Junit/NUnit 4. Experience in Scripting skills (Python, Linux/Shell, Perl, Groovy, PowerShell) 5. Experience in Infrastructure automation skill (ansible/puppet/Chef/Poweshell) 6. Experience in repository Management/Migration Automation GIT, BitBucket, GitHub, Clearcase 7. Experience in build automation scripts Maven, Ant 8. Experience in Artefact repository management Nexus/Artifactory 9. Experience in Dashboard Management & Automation- ELK/Splunk 10. Experience in configuration of cloud infrastructure (AWS, Azure, Google) 11. Experience in Migration of applications from on-premises to cloud infrastructures 12. Experience in Working on Azure DevOps, ARM (Azure Resource Manager), & DSC (Desired State Configuration) & Strong debugging skill in C#, C Sharp and Dotnet 13. Setting and Managing Jira projects and Git/Bitbucket repositories 14. Skilled in containerization tools like Docker & Kubernetes Knowledge Examples: 1. Knowledge of Installation/Config/Build/Deploy processes and tools 2. Knowledge of IAAS - Cloud providers (AWS, Azure, Google etc.) and their tool sets 3. Knowledge of the application development lifecycle 4. Knowledge of Quality Assurance processes 5. Knowledge of Quality Automation processes and tools 6. Knowledge of multiple tool stacks not just one 7. Knowledge of Build and release, Branching/Merging 8. Knowledge about containerization 9. Knowledge of Agile methodologies 10. Knowledge of software security compliance (GDPR/OWASP) and tools (Blackduck/ veracode/ checkmarxs) Key Skills: Role Proficiency: Level of Proficiency: Act under guidance of DevOps; leading more than 1 Agile team. Outcomes: 1. Interprets the DevOps Tool/feature/component design to develop/support the same in accordance with specifications 2. Adapts existing DevOps solutions and creates relevant DevOps solutions for new contexts 3. Codes, debugs, tests and documents and communicates DevOps development stages/status of DevOps develop/support issues 4. Selects appropriate technical options for development such as reusing, improving or reconfiguration of existing components 5. Optimises efficiency, cost and quality of DevOps process, tools and technology development 6. Validates results with user representatives; integrates and commissions the overall solution 7. Helps Engineers troubleshoot issues that are novel/complex and are not covered by SOPs 8. Design, install, and troubleshoot CI/CD pipelines and software 9. Able to automate infrastructure provisioning on cloud/in-premises with the guidance of architects 10. Provides guidance to DevOps Engineers so that they can support existing components 11. Good understanding of Agile methodologies and is able to work with diverse teams 12. Knowledge of more than 1 DevOps toolstack (AWS, Azure, GCP, opensource) Measures of Outcomes: Measures: 1. Quality of Deliverables 2. Error rate/completion rate at various stages of SDLC/PDLC 3. # of components/reused 4. # of domain/technology certification/ product certification obtained 5. SLA/KPI for onboarding projects or applications 6. Stakeholder Management 7. Percentage achievement of specification/completeness/on-time delivery Outputs Expected: 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: Skill Examples: 1. Experience in design, installation and configuration to , to troubleshoot CI/CD pipelines and software using Jenkins/Bamboo/Ansible/Puppet /Chef/PowerShell /Docker/Kubernetes 2. Experience in Integrating with code quality/test analysis tools like Sonarqube/Cobertura/Clover 3. Experience in Integrating build/deploy pipelines with test automation tools like Selenium/Junit/NUnit 4. Experience in Scripting skills (Python, Linux/Shell, Perl, Groovy, PowerShell) 5. Experience in Infrastructure automation skill (ansible/puppet/Chef/Poweshell) 6. Experience in repository Management/Migration Automation GIT, BitBucket, GitHub, Clearcase 7. Experience in build automation scripts Maven, Ant 8. Experience in Artefact repository management Nexus/Artifactory 9. Experience in Dashboard Management & Automation- ELK/Splunk 10. Experience in configuration of cloud infrastructure (AWS, Azure, Google) 11. Experience in Migration of applications from on-premises to cloud infrastructures 12. Experience in Working on Azure DevOps, ARM (Azure Resource Manager), & DSC (Desired State Configuration) & Strong debugging skill in C#, C Sharp and Dotnet 13. Setting and Managing Jira projects and Git/Bitbucket repositories 14. Skilled in containerization tools like Docker & Kubernetes Knowledge Examples: 1. Knowledge of Installation/Config/Build/Deploy processes and tools 2. Knowledge of IAAS - Cloud providers (AWS, Azure, Google etc.) and their tool sets 3. Knowledge of the application development lifecycle 4. Knowledge of Quality Assurance processes 5. Knowledge of Quality Automation processes and tools 6. Knowledge of multiple tool stacks not just one 7. Knowledge of Build and release, Branching/Merging 8. Knowledge about containerization 9. Knowledge of Agile methodologies 10. Knowledge of software security compliance (GDPR/OWASP) and tools (Blackduck/ veracode/ checkmarxs),

Keyskills :
test automation toolsquality assurance processestest automationbuild automationautomation toolsquality assurancesecurity complianceagile methodologiesautomation frameworkstatements of work sow