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 deliveryOutputs 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:
Scripts:
Training/SOPs :
Measure Process Efficiency/Effectiveness:
innovation and technology changes.
Operations:
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 & KubernetesKnowledge 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:
• 7+ years in DevOps roles with a focus on Azure DevOps ecosystem. • 3+ years of hands-on experience with AKS (Azure Kubernetes Service). • Proficiency in using Helm to manage Kubernetes applications and exposure to service-mesh tool like Istio. • Strong experience with ArgoCD and GitOps practices. • Hands-on experience in deploying and managing applications built with: o Java Spring Boot o Python • Solid understanding of Kubernetes concepts: services, ingress, secrets, RBAC, autoscaling. • Proficiency in scripting (Bash, PowerShell, or Python). • Understanding of CI/CD pipelines, secrets management, and secure deployments. • Infrastructure-as-Code experience with Terraform(preferred).