Lead DevOps Engineering

5 - 7 Years

2 Openings

Bangalore, Trivandrum

Role Proficiency:

Act under guidance of Lead II/Architect understands customer requirements and translate them into design of new DevOps (CI/CD) components. Capable of managing at least 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 own DevOps solutions for new contexts

• Codes debugs tests documents and communicates DevOps development stages/status of DevOps develop/support issues

• Select 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 configure 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

• Work with diverse teams with Agile methodologies

• Facilitate saving measures through automation

• Mentors A1 and A2 resources

• Involved in the Code Review of the team

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 for onboarding and supporting users and tickets

Outputs Expected:

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

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:

• Mentor and provide guidance to peers

Stakeholder Management:

• Guide the team in preparing status updates
  
  keeping management updated about the status

Training/SOPs :

• Create Training plans/SOPs to help DevOps Engineers with DevOps activities and in onboarding users

Measure Process Efficiency/Effectiveness:

• Measure and pay attention to efficiency/effectiveness of current process and make changes to make them more efficiently and effectively

Stakeholder Management:

• Share the status report with higher stakeholder

Skill Examples:

• Experience in the design installation configuration and troubleshooting of 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/Powershell)

• 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 Branching/Merging
• Knowledge about containerization
• Knowledge on security policies and tools
• Knowledge of Agile methodologies

Additional Comments:

Required Technical Skills Core Technologies · Kubernetes: Extensive experience with EKS, AKS for managing and orchestrating containerized workloads · Containerization: Proficiency in Docker and Helm for container management · Infrastructure as Code: Expert-level knowledge in Terraform with focus on cloud-agnostic design · Service Mesh: Knowledge of Istio is required for advanced container orchestration · CI/CD Tools: Hands-on experience with Tekton, ArgoCD, and Bamboo · Programming: Strong automation skills in Python and shell scripting Platform & Tools Experience · JIRA and ServiceNow (SNOW) for project and incident management · Bitbucket for version control and code collaboration · Maven for build automation and dependency management · Unix/Linux (*NIX) systems administration · Microservices architecture understanding and implementation · API testing frameworks (Web-driver, Cucumber preferred) Monitoring & Observability · Splunk for log management and analysis · Datadog, Prometheus, and Grafana for monitoring and ing Key Responsibilities Cloud Infrastructure & Platform Management · Design, build, manage, and optimize organizational cloud infrastructure on the Azure platform · Develop and maintain Infrastructure as Code (IaC) templates using Terraform with cloud-agnostic principles for easy portability to other cloud platforms · Manage and maintain Kubernetes clusters (EKS, AKS), including deploying, monitoring, and optimizing containerized applications DevOps & Site Reliability Engineering · Implement and maintain CI/CD pipelines using Tekton, ArgoCD, and Bamboo · Create, deploy, and manage containerized applications using Docker and Helm charts within Kubernetes environments · Manage incident response processes and conduct thorough root cause analysis as needed · Support production deployments according to project demands and timelines · Coordinate effectively with multiple teams simultaneously Automation & Monitoring · Develop automation solutions using Python and scripting languages · Implement and maintain monitoring solutions using Prometheus, Grafana, and Datadog · Manage log aggregation and analysis using Splunk · Utilize automation tools and approaches to streamline operations

Devops,Kubernetes,Containerization

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