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Devops engineering

2 months ago


tamil nadu, India Live Connections Full time
Exp : 15yrs to 22yrs
We are seeking an experienced and dynamic DevOps Engineering Manager with a strong
background in AWS cloud services. The ideal candidate will be a hands-on leader, proficient in
automated provisioning, cloud management, and possess expertise in Financial Operations
(FinOps) with a focus on resource optimization. If you are passionate about building and leading
high-performing DevOps teams while ensuring efficient and cost-effective cloud infrastructure,
we invite you to apply.
Role & Responsibilities:
AWS Cloud Management:
• Lead the design, deployment, and management of AWS cloud infrastructure to ensure
scalability, security, and reliability.
• Oversee the implementation of best practices for cloud resource utilization.
Automated Provisioning:
• Drive the development and maintenance of automated provisioning processes for
infrastructure deployment, leveraging tools such as Terraform and Packer.
• Continuously enhance deployment workflows to optimize efficiency.
Financial Operations (FinOps):
• Implement and champion FinOps practices to optimize cloud costs and resource
utilization.
• Conduct regular cost analysis and identify opportunities for cost savings without
compromising performance.
Infrastructure as Code (IaC):
• Collaborate with teams to implement and maintain IaC scripts for infrastructure
configuration and deployment.
• Ensure version control and consistency in infrastructure code across projects.
Team Leadership:
• Lead and mentor a team of DevOps engineers, providing technical guidance and
support./
• Foster a collaborative and innovative team culture focused on continuous improvement.
Continuous Integration/Continuous Deployment (CI/CD):
• Drive the implementation and maintenance of CI/CD pipelines to automate software
delivery processes.
• Ensure seamless and reliable application deployments across environments.
Monitoring and Optimization:
• Implement monitoring solutions for cloud resources and applications.
• Proactively identify and address performance bottlenecks, ensuring optimal system
performance.