Lead II - DevOps Engineering

7 - 9 Years
1 Opening
Ahmedabad, Pune

Role Proficiency:

Act under guidance of DevOps; leading more than 1 Agile team.

Outcomes:

Measures of Outcomes:

Outputs Expected:

Automated components :

Configured components:

Scripts:

Training/SOPs :

Measure Process Efficiency/Effectiveness:

Operations:

Skill Examples:

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 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:

  A DevOps engineer with 8-12 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.

Kubernetes,Iac,Devops,Aws Cloud