Join a dynamic Engineering team focused on empowering and driving mission-critical solutions. This role is pivotal in modernizing existing systems and implementing cutting-edge technology products and platforms. The team thrives on innovation to enhance financial performance, accelerate digital business ventures, and fuel growth.

As an AWS Data Architect Manager, you will lead the charge in data modernization and migration initiatives, leveraging your expertise to build robust and scalable cloud-based data solutions. This is an exciting opportunity to make a significant impact within a leading organization.

Design, implement, and manage highly available, scalable, and secure Kubernetes platforms on AWS Cloud. Lead cluster provisioning, upgrades, lifecycle management, and platform modernization. Build cloud-native infrastructure using AWS services and container orchestration. Develop Infrastructure as Code (IaC) with Terraform, CloudFormation, and Ansible. Implement and optimize CI/CD pipelines. Drive GitOps adoption and manage deployment automation. Design and implement monitoring, logging, alerting, and observability frameworks. Ensure platform security through IAM, RBAC, Secrets Management, and DevSecOps practices. Automate operational processes using Python, Shell, and Ruby scripting. Lead platform engineering initiatives focused on scalability, high availability, disaster recovery, and operational efficiency.

A minimum of 13 years of experience is required in Cloud Infrastructure, Platform Engineering, DevOps, or Kubernetes Administration. Extensive hands-on experience with AWS Cloud and Amazon EKS is essential. Strong expertise in Kubernetes architecture, cluster management, container orchestration, and platform operations is necessary. Deep understanding of Infrastructure as Code (IaC) using Terraform, CloudFormation, and Ansible is a must. Proven experience implementing enterprise CI/CD solutions using Jenkins, GitHub Actions, GitLab CI, AWS CodeBuild, and related tools is expected. Strong experience with observability and monitoring platforms including Prometheus, Grafana, Splunk, logging, and alerting frameworks is required. Expertise in IAM, RBAC, Secrets Management, DevSecOps, Container Security, and Security Compliance is key. Hands-on scripting experience using Python, Shell, or Ruby is also needed.