Sr. AWS DevOps Engineer- Kubernetes Expertise
Position Title: Sr. AWS DevOps Engineer- Kubernetes Expertise Employment Time: Full-Time This Is a fully remote position with travel required. About Cloudelligent 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/computer engineering, 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.) Experience of using Scripting when necessary (Bash, Python, Ruby, Go or Javascript, 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 Certified Kubernetes Administrator (CKA)