DevOps Lead
- Posted 17 days ago
- Over 100 applicants have applied
Job Description
- 5-7 years of experience in Azure DevOps, AWS DevOps.
- Have hands on experience in DevOps pipeline, Triggers.
- 3-4 years of experience in Solutioning with DevOps tools like Ansible, Terraform, TerraTest , Scripts using Yaml, Security scan and Testing, SonarQube and Integration, Security vulnerability tools and assessment. Optional skills: Puppet, Chef
- Successful implementation of DevOps Environment and tool chain 4 - 6 years in Azure and AWS environment.
- Experience in DevOps Automation scripts.
- Knowledge of Cloud Infrastructure (Azure /AWS) and IaaC.
- Team Management and Development.
- Managed a team 7 - 10 DevOps engineers for large projects.
- SME Capability building, Training Plan development and mentor DevOps engineers.
- Collaboration skills and working across multiple project teams.
- Conduct interviews for the Practice and do the hiring on need basis.
- Business development, Artefacts and Case studies.
- Ability to prepare case studies, Practice Plan and implementation.
- Proposals: Experience in working with Sales Team, Pre-sales.
- Presentations and interactions with customers.
- Campaigns: Working with Marketing team.
More Info
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Key Skills
About Company
Skills:
Automation, Databricks, Cloud platforms, Infrastructure-as-Code, CI CD
Skills:
Azure Cloud services, Terraform, Docker, PowerShell, Kubernetes, Python, Azure DevOps, Infrastructure as Code, CI CD pipeline design, source control management
Skills:
Devops, Release Management, CI/CD, FlexDeploy, Salesforce DevOps, Salesforce Platform, Salesforce Sales Cloud, Salesforce Service Cloud, Salesforce Experience Cloud, Salesforce Ecosystem, CI/CD Pipeline, Deployment Automation
Skills:
Jenkins, Docker, Terraform, Devops, Aws
Skills:
Automation, T-sql, Data Warehousing, Geneos, Grafana, Linux, Cognos, Informatica, Data Lineage, Splunk, SQL Server, Pl Sql, Unix, Critical Incident Management, Dynatrace, Appdynamics, Oracle, Shell Scripting, Python, Data Governance, Data Platform Operations, ETL Technologies, Reconciliation Frameworks, Control-M, Data Quality Controls, Production Support, Reliability Engineering, Enterprise Data Ecosystems