Sr. AWS DevOps Engineer- Kubernetes Expertise

Cloudelligent; Islamabad; On-site; PKR 1,800,000 - 3,000,000; Full time

Job summary

Cloudelligent is seeking an experienced DevOps Engineer to build and deploy complex AWS cloud environments for clients, championing IaC and automation. You will design and maintain Kubernetes infrastructure, collaborate with stakeholders, and mentor junior engineers.

Requirements include a BS in a software field, 5+ years in DevOps, and strong experience with Terraform, CloudFormation, CircleCI, GitLab, Jenkins, Docker, and Kubernetes. English proficiency is essential.

Qualifications

• Bachelor's degree in software/computer engineering, CS or related.
• 5+ years of professional DevOps experience.
• 4+ years using CI/CD tools (Jenkins, CircleCI, GitLab, etc.).
• Experience with IaC (Terraform / CloudFormation) and Kubernetes/EKS or ECS.
• Experience with configuration management (Puppet, Ansible) and containers (Docker).

Responsibilities

• Architect, build and deploy AWS cloud infrastructure that is scalable and self-healing.
• Promote infrastructure as code and automation across projects.
• Design, build and maintain Kubernetes clusters and deployments.
• Gather customer requirements and inform stakeholders of new features.
• Train and mentor junior DevOps engineers and team members.
• Ensure security and compliance practices are implemented in operations.

Skills

DevOps engineering

CI/CD workflows

AWS cloud

Automation

Mentoring

English communication

Education

Bachelor’s in software/computer engineering

Tools

Terraform

CloudFormation

CircleCI

GitLab

Jenkins

Docker

Kubernetes

EKS

ECS

Rancher

Puppet

Ansible

Docker-Compose

Prometheus

Grafana

ELK Stack

OpenTelemetry

Job description

Cloudelligent is an AWS Premier Consulting Partner helping organizations modernize, migrate, and innovate in the cloud. We work at the intersection of cloud, data, and AI to solve real business problems and not just implement technology. With an international footprint, Cloudelligent is customer-obsessed and focuses on Generative AI and Agentic AI to deliver practical, scalable solutions.

Job Objective

As an experienced DevOps Engineer your primary role would be to build and deploy complex cloud environments for our customers using innovative automation tools and cutting-edge technologies. You will be responsible for setting up, maintaining, and evolving the AWS cloud architecture and supporting infrastructure monitoring and alerting, issues troubleshooting, and developing required automation for our customers.

Responsibilities

Work alongside a team of DevOps Engineers to architect, build, and deploy AWS cloud infrastructure that is redundant, resilient, scalable, self-sustaining, and self-healing.

Promote infrastructure as code and automation as much as possible. To achieve this, you must have extensive knowledge of the DevOps tool sets like Terraform, Cloudformation, CircleCI, Gitlab, Jenkins, Docker, Kubernetes.

Design, build, and maintain our Kubernetes infrastructure, including clusters, namespaces, and deployments.

Work on projects independently with customers and stakeholders, gathering their requirements and informing them of new features and enhancements.

Create and improve current operational practices and procedures.

Ensure the implementation and maintenance of compliance and security practices in operational infrastructure.

Responsible for training and mentoring junior DevOps engineers and new team members.

Requirements

Bachelor’s in software/computerengineering, computer science or related field.

Effective communication skills (proficiency in English language).

5+ years of professional experience in DevOps engineering.

4+ years of using CI/CD tools (Jenkins, CircleCI, Gitlab, or similar)

Experience in Infrastructure as code (Terraform / Cloudformation/CDK) and using container orchestration tools (Kubernetes/EKS or ECS, Rancher, etc.)

Experience of using configuration management tools (Puppet, Ansible, etc.) and working with containers (Docker or Docker-Compose, etc.)

Self-driven, ability to work independently or as part of a project team with limited supervision.

Technical Experience/Expertise

Strong hands-on expertise with solution architecting environments in AWS cloud space.

Strong 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).

Extensive experience in 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, ELK stack (Elasticsearch, Logstash, Kibana).

Extensive knowledge and hands-on experience of IP networking, VPN's, DNS, load balancing, and firewall.

Extensive knowledge and hands-on experience with designing a secure infrastructure using current cloud-native security standards.

Good to have

AWS Certified Solutions Architect Associate/Professional and/or AWS Certified DevOps Professional