Cloud Intelligent Engineering Team Member

5 days ago


Islamabad, Islamabad, Pakistan Cloudelligent Full time

Job Title: Cloud Intelligent Engineering Team Member

About Cloudelligent:

We are a cloud-native consultancy and an AWS Advanced consulting partner, specializing in providing bespoke cloud solutions to SMBs, enterprises, and the public sector. Our goal is to empower businesses to achieve their full potential by leveraging cloud technology.

Job Objective:

As an experienced DevOps engineer, you will design and deploy complex cloud environments using innovative automation tools and cutting-edge technologies. You will be responsible for setting up, maintaining, and evolving AWS cloud architecture and supporting infrastructure monitoring and alerting, issues troubleshooting, and developing required automation for our customers.

Key Responsibilities:

  • Collaborate with a team of DevOps engineers to architect, build, and deploy redundant, resilient, scalable, self-sustaining, and self-healing AWS cloud infrastructure.
  • Promote infrastructure as code and automation through extensive knowledge of DevOps tool sets like Terraform, Cloudformation, CircleCI, Gitlab, Jenkins, Docker, and Kubernetes.
  • Design, build, and maintain Kubernetes infrastructure, including clusters, namespaces, and deployments.
  • Work on projects independently with customers and stakeholders, gathering requirements and informing them of new features and enhancements.
  • Develop and improve operational practices and procedures.
  • Ensure compliance and security practices in operational infrastructure.
  • Train and mentor junior DevOps engineers and new team members.

Required Expertise:

  • Strong hands-on expertise with solution architecting environments in AWS cloud space.
  • Hands-on experience with code pipeline design, development, and managing CI/CD workflows and tools.
  • Comprehensive understanding and hands-on experience of core DevOps concepts (CI/CD, Agile & Automation).
  • Experience designing, deploying, and managing Kubernetes clusters in production environments.
  • Expertise in containerization technologies such as Docker, including creating Docker images, managing Docker registries, and configuring Docker runtime environments.
  • Familiarity with monitoring and logging tools such as Prometheus, Opentelemetry, Grafana, and ELK stack.
  • Knowledge of IP networking, VPNs, DNS, load balancing, and firewall.
  • Knowledge of designing a secure infrastructure using current cloud-native security standards.


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