Cloud Engineering Lead for Kafka Infrastructure
6 dni temu
We are seeking a skilled Cloud Engineering Lead to support the provisioning of cloud-based infrastructure for a major platform convergence initiative. This role focuses on designing, implementing, and automating AWS environments while managing Kafka clusters to ensure high availability, security, and performance.
Responsibilities:
- Design and implement scalable and secure AWS architectures using Terraform.
- Deploy and manage highly available Kafka clusters with TLS/SSL mutual authentication and encryption.
- Implement data replication and synchronization across multiple data centers using Kafka MirrorMaker.
- Manage and maintain various AWS services, including EC2, EKS, ECR, S3, KMS, VPC, SageMaker, and CloudWatch.
- Configure networking components within AWS, including VPCs, security groups, subnets, and transit gateways.
- Develop and optimize CI/CD pipelines using ArgoCD and Jenkins for automated deployments.
- Utilize Kubernetes (EKS) for container orchestration and implement Istio service mesh for secure service-to-service communication.
This is an exciting opportunity to work on bleeding-edge projects with a highly motivated and dedicated team. You will be responsible for designing and implementing cloud-based infrastructure solutions using AWS and Kafka.
You will have the opportunity to work with a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. We are looking for a skilled Cloud Engineer who can lead the design and implementation of cloud-based infrastructure solutions.
Key Responsibilities include:
- Designing and implementing scalable and secure AWS architectures
- Deploying and managing highly available Kafka clusters
- Implementing data replication and synchronization using Kafka MirrorMaker
- Managing and maintaining various AWS services
- Configuring networking components within AWS
- Developing and optimizing CI/CD pipelines
- Utilizing Kubernetes (EKS) for container orchestration
Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. We fuse technical vision with business acumen to solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation.
A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization, and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.
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