Wissen Technology is a globally recognized organization known for building solid technology teams, working with major financial institutions, and delivering high-quality solutions in IT services. With a strong presence in the financial industry, we provide cutting-edge solutions to address complex business challenges.
Role Overview:
We are seeking a highly skilled Cloud DevOps Engineer with proven experience in AWS cloud infrastructure, Kubernetes, and Infrastructure-as-Code tools like Terraform or CloudFormation . This role is critical to the deployment, scaling, and maintenance of cloud-native applications and platforms, with a strong focus on automation, container orchestration, and continuous delivery.
Key Responsibilities:
Plan, implement, and manage robust and scalable AWS cloud infrastructure .
Configure and maintain Kubernetes/EKS clusters , including networking and Ingress setup.
Leverage Terraform or CloudFormation for infrastructure provisioning and automation.
Implement and maintain services such as:
EBS, ECS, EKS, Fargate , S3, EC2, Lambda, CloudWatch , and related AWS services.
Ensure reliability, scalability, and high availability of production systems.
Handle containerization of applications and manage deployments using Docker and Kubernetes.
Set up and manage CI/CD pipelines , preferably using GitLab CI , to support continuous integration and deployment.
Proactively monitor cloud environments and troubleshoot issues across infrastructure and application layers.
Recommend architectural improvements and process optimizations to enhance performance and operational efficiency.
Support automation, infrastructure monitoring, and security best practices across all environments.
Required Skills & Qualifications:
Strong hands-on experience with AWS infrastructure services , especially EKS, ECS, Lambda, EC2, and S3.
Expertise in Terraform or AWS CloudFormation for IAC (Infrastructure as Code).
Solid experience with Kubernetes (EKS) setup, maintenance, and Ingress configuration .
Experience in containerization using Docker and orchestrating deployments on Kubernetes.
Strong troubleshooting skills across cloud platforms and application environments.