DevOps Automation Professional

2 weeks ago

Karachi, Sindh, Pakistan Cloudelligent Full time
About Us:
CLOUDelligent is a leading cloud-native consultancy and AWS Advanced consulting partner. We specialize in delivering tailored cloud solutions to startups, SMB, and enterprise clients. Our goal is to enable businesses to get the most out of their cloud investments. With an international presence and a diverse team of domain experts, we prioritize customer satisfaction.

Job Overview:
The successful candidate will work closely with our team of DevOps engineers to design, build, and deploy complex cloud environments using innovative automation tools and cutting-edge technologies. This includes setting up, maintaining, and evolving the AWS cloud architecture and supporting infrastructure monitoring and alerting, troubleshooting issues, and developing required automation for our customers.

Key Responsibilities:
1. Collaborate with the team to architect, build, and deploy AWS cloud infrastructure that meets high availability, scalability, and security requirements.
2. Develop and maintain Kubernetes infrastructure, including clusters, namespaces, and deployments.
3. Work with customers and stakeholders to gather requirements and communicate new features and enhancements.
4. Establish and enhance operational best practices and procedures.
5. Maintain compliance and security practices within operational infrastructure.
6. Provide training and mentorship to junior DevOps engineers and new team members.

Requirements:
Bachelor's degree in software/computer engineering, computer science, or related field.
Excellent English language proficiency.
Minimum 4 years of professional experience in DevOps engineering.
Minimum 3 years of experience with CI/CD tools (Jenkins, CircleCI, GitLab, or similar).
Proven experience with Infrastructure as Code (Terraform / CloudFormation / CDK) and container orchestration tools (Kubernetes / EKS or ECS, Rancher, etc.).
Knowledge of configuration management tools (Puppet, Ansible, etc.) and containerization technologies (Docker or Docker-Compose, etc.).
Proficient in scripting languages (Bash, Python, Ruby, Go, or JavaScript, etc.)

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