Solution Architect - I_Kubernetes

We are seeking a highly experienced Senior Platform Engineer with 10+ years of experience in designing, developing, and managing enterprise-scale platforms. The ideal candidate will have deep expertise in Kubernetes, Docker, AWS, Netflix Conductor, and Data Profiling, with a strong background in building platform components that seamlessly integrate with both on-premises environments and AWS cloud infrastructure. Key Responsibilities Design, develop, and maintain scalable platform components and services across hybrid cloud environments (On-Prem & AWS). Architect and manage enterprise-grade Kubernetes clusters, ensuring high availability, scalability, and security. Develop and optimize containerized solutions using Docker and cloud-native technologies. Design and implement workflow orchestration frameworks using Netflix Conductor. Lead data profiling initiatives to ensure data quality, validation, governance, and operational integrity. Build and maintain robust integrations between on-prem systems and AWS-based services. Drive platform automation through Infrastructure as Code (IaC), CI/CD pipelines, and self-service capabilities. Monitor system performance, troubleshoot complex issues, and implement proactive reliability measures. Collaborate with architects, infrastructure teams, developers, and business stakeholders to define platform strategy and roadmap. Mentor junior team members and provide technical leadership on platform engineering best practices. Required Skills 10+ years of experience in Platform Engineering, DevOps, Cloud Engineering, or related domains. Expert-level hands-on experience with: Kubernetes (K8s) - Cluster architecture, administration, networking, security, scaling, and troubleshooting. Docker - Containerization, image optimization, registry management, and deployment strategies. AWS Cloud Services - EKS, EC2, IAM, VPC, S3, CloudWatch, Lambda, RDS, and other core services. Netflix Conductor - Workflow orchestration, distributed task management, and microservices integration. Data Profiling - Data quality analysis, metadata management, validation frameworks, and governance practices. Strong experience working with hybrid environments involving both on-premises infrastructure and AWS cloud. Deep understanding of microservices architecture and distributed systems. Expertise in CI/CD tools such as Jenkins, GitHub Actions, Azure DevOps, or equivalent. Proficiency in Python, Shell Scripting, or other automation languages. Experience with monitoring and observability tools such as Prometheus, Grafana, ELK Stack, and CloudWatch. Strong troubleshooting and performance optimization skills. Preferred Skills Experience with Terraform, CloudFormation, or other Infrastructure as Code tools. Knowledge of service mesh technologies such as Istio or Linkerd. Experience with Kafka, RabbitMQ, or other event-driven architectures. Kubernetes and AWS security best practices. Experience in platform modernization, cloud migration, and large-scale enterprise transformation programs.