Key Responsibilities:

Creation and maintenance of CI/CD pipelines using Azure DevOps. Test automation and scripting using python and powershell. Knowledge of tcl in addition is preferable. Maintenance of Azure DevOps ecosystem and its tools. Managing continuous integration, continuous testing, and reporting. Automation of Dashboards and development of new features on AzureDevOps.

Skillset Required

Scripting Knowledge – Python/C#, PowerShell Scripting experience in YAML. Experience in Artifact repository, Azure Artifacts Build and test systems – CMake, Makefile, cmocka, Maven, MS Build, NPM, SCA DevOps experience : GitLab, AzureDevOps, or integrated DevOps on any comparable git platform. Awareness of CI/CD, maintenance, uptime and code quality metrics.

Role Proficiency:

Act under guidance of DevOps; leading more than 1 Agile team.

Outcomes:

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 novel/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)

Measures of Outcomes:

     Quality of Deliverables      Error rate/completion rate at various stages of SDLC/PDLC      # of components/reused      # of domain/technology certification/ product certification obtained      SLA/KPI for onboarding projects or applications      Stakeholder Management      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:

     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)

Additional Comments:

Key Responsibilities: • Creation and maintenance of CI/CD pipelines using Azure DevOps. • Test automation and scripting using python and powershell. Knowledge of tcl in addition is preferable. • Maintenance of Azure DevOps ecosystem and its tools. • Managing continuous integration, continuous testing, and reporting. • Automation of Dashboards and development of new features on AzureDevOps. Skillset Required • Scripting Knowledge – Python/C#, PowerShell • Scripting experience in YAML. • Experience in Artifact repository, Azure Artifacts • Build and test systems – CMake, Makefile, cmocka, Maven, MS Build, NPM, SCA • DevOps experience : GitLab, AzureDevOps, or integrated DevOps on any comparable git platform. • Awareness of CI/CD, maintenance, uptime and code quality metrics.