Azure Devops Engineer

Dev-Ops Engineer : must have prior experience in working as DevOps engineer; software developers; Cloud developer; etc. They have practical experience in dealing with DevOps; operations; configuration roles Responsibilities: As a Dev-Ops engineer you will :

• Develop appropriate DevOps channels throughout the organization.

• Implement DevOps practices.

• Establish a continuous build environment to accelerate software deployment and development processes.

• Engineer general and effective processes. Requirements:

• Excellent knowledge of software development along with configuration management practices in Unix and Linux-based environment.

• Experience with Azure DevOps pipelines.

• Experience with Microsoft Powershell.

• Experience with integrating with Salesforce and dashboards.

• Experience with multi-tenant Kubernetes clusters

• Experience in handling Infrastructure as a code

• Strong understanding of DevOps concepts

• Possess sound knowledge of cloud-based environments.

• Experience in handling automated deployment CI/CD tools.

• Must possess excellent knowledge in Linux fundamentals and scripting.

• Must have strong expertise in operating Linux/Unix environments • Expertise in scripting languages like Python; Perl; and Shell is a must.

• Previous experience in implementing continuous delivery and Continuous Integration.

Expectations from this role:

1. Interprets the DevOps Tool/feature/component design to develop/support the same in accordance with specifications

2. Adapts existing DevOps solutions and creates own DevOps solutions for new contexts

3. Codes, debugs, tests, documents and communicates DevOps development stages/status of DevOps develop/support issues

4. Select 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 Client/complex and are not covered by SOPs

8. Design, install, configure, 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. Work with diverse teams with Agile methodologies

12. Facilitate saving measures through automation

13. Mentors A1 and A2 resources

14. Involved in the Code Review of the team

Typical performance measures: Typical performance 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 for onboarding and supporting users and ticketsPerformance Areas:

Automated components

Deliver components that automat 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