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Lead II - DevOps Engineering

2.00 to 7.00 Years   Thiruvanananthapuram   14 Nov, 2021
US Technology
Job LocationThiruvanananthapuram
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaOperations Management / Process Analysis,Engineering Design / Construction
EmploymentTypeFull-time

Job Description

Role 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:
  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 :
  1. Deliver components that automates parts to install components/configure of software/tools in on premises and on cloud
  2. Deliver components that automates parts of the build/deploy for applications
Configured components:
  1. Configure tools and automation framework into the overall DevOps design
Scripts:
  1. Develop/Support scripts (like Powershell/Shell/Python scripts) that automate installation/configuration/build/deployment tasks
Training/SOPs :
  1. Create Training plans/SOPs to help DevOps Engineers with DevOps activities and to in onboarding users
Measure Process Efficiency/Effectiveness:
  1. Deployment frequency innovation and technology changes.
Operations:
  1. Change lead time/volume
  2. Failed deployments
  3. Defect volume and escape rate
  4. Meantime to detection and recovery
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:Additional Comments:Primary Skills : Python(5 years),Devops(5-7 years),AWS Cloud(3-5 years) Secondary Skills : Azure Cloud (3-5 years),Ansible(3 years),GitLab(2 years) Good to have : Knowledge on document based and timeseries DBGolang, NodeJS, Kubernetes Background in ML/AI,

Keyskills :
linuxautomationtest automation toolsmavenbuild automationautomation toolsjenkinsagile methodologiesautomation frameworkgitsecondary skillstest automationstatements of work sow

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