Role Proficiency:

Acts under minimum guidance of DevOps Architect to set up and manage DevOps tools and pipelines.

Outcomes:

     Interpret the DevOps Tool/feature/component design and develop/support the same in accordance with specifications      Follow and contribute existing SOPs to trouble shoot issues Adapt existing DevOps solutions for new contexts      Code debug test and document; and communicate DevOps development stages/status of DevOps develop/support issues      Select appropriate technical options for development such as reusing improving or reconfiguration of existing components      Support users onboarding them on existing tools with guidance from DevOps leads      Work with diverse teams with Agile methodologies      Facilitate saving measures through automation      Mentor A1 and A2 resources Involved in the Code Review of the team

Measures of Outcomes:

Schedule adherence Quality of the code Defect injection at various stages of lifecycle # SLA related to level 1 and level 2 support # of domain certification/ product certification obtained Facilitate saving measures through automation

Outputs Expected:

Automated components:

Deliver components that automate parts to install components/configure of software/tools in on-premises and on cloud Deliver components that automate parts of the build/deploy for applications

Configured components:

Configure a CI/CD pipeline that can be used by application development/support teams

Scripts:

Develop/Support scripts (like Powershell/Shell/Python scripts) that automate installation/ configuration/ build/ deployment tasks

Onboard users:

Onboard and extend existing tools to new app dev/support teams

Mentoring:

Mentoring and providing guidance to peers

Stakeholder Management:

Guide the team in preparing status updates; keeping management updated regarding the status

Data Base:

Data Insertion
Data update
Data Delete
Data view creations

Skill Examples:

     Install configure troubleshoot CI/CD pipelines and software using Jenkins/Bamboo/Ansible/Puppet /Chef/PowerShell /Docker/Kubernetes      Integrate with code/test quality analysis tools like Sonarqube/Cobertura/Clover      Integrate build/deploy pipelines with test automation tools like Selenium/Junit/NUnit      Scripting skills (Python Linux/Shell/Perl/Groovy/PowerShell)      Repository Management/Migration Automation – GIT/BitBucket/GitHub/Clearcase      Build automation scripts – Maven/Ant      Artefact repository management – Nexus/Artifactory      Dashboard Management & Automation- ELK/Splunk      Configuration of cloud infrastructure (AWS/Azure/Google)   Migration of applications from on-premises to cloud infrastructures   Working on Azure DevOps/ARM (Azure Resource Manager)/DSC (Desired State Configuration)   Strong debugging skill in C#/C Sharp/Dotnet Basic working knowledge of database

Knowledge Examples:

Knowledge of Installation/Config/Build/Deploy tools and knowledge of DevOps processes 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 & tools Knowledge of Agile methodologies Knowledge of security policies and tools

Additional Comments:

A DevOps engineer with 5-7 years of experience. Here are some of the typical responsibilities of a DevOps Harness engineer: Harness Expertise: Possess a strong understanding of the Harness platform and its capabilities, including pipelines, deployments, configurations, and security features. CI/CD Pipeline Management: Design, develop, and manage CI/CD pipelines using Harness. This involves automating tasks such as code building, testing, deployment, and configuration management. Automation Playbook Creation: Create reusable automation scripts (playbooks) for deployments, configuration control, infrastructure provisioning, and other repetitive tasks. Scalability and Standards: Ensure scalability of the CI/CD pipelines and adherence to organizational standards for deployment processes. DevOps Technologies: Be familiar with various DevOps technologies such as Docker, Kubernetes, and Jenkins, especially in the context of cloud platforms. Security: Integrate security best practices into the CI/CD pipelines (SecDevOps). 1. Candidate must have strong working experience in Kubernetes core concepts like autoscaling, RBAC, Pod placements as well as advanced concepts like Karpenter, service mesh etc 2. Candidate must have strong working experience in AWS services like cloudwatch, EKS, ECS, DynamoDB etc. 3. Candidate must have strong working experience in IAC especially in Terraform and Terragrunt, should be able to create modules. Must have experience in infrastructure provisioning with AWS 4. Candidate must have strong working experience in scripting languages like shell, Powershell or Python. 5. Candidate must have strong working experience in CICD concepts like creating pipelines, automating the deployments.