DevOps Architect – Confluent Kafka

We are seeking a highly skilled DevOps Architect with expertise in Confluent Kafka, AWS, and modern automation frameworks. The ideal candidate will lead the design, deployment, and optimization of large-scale, distributed event-streaming environments across on-premise and cloud infrastructures. Key Responsibilities • Design, deploy, and configure Confluent Kafka clusters, topics, partitions, replication strategies, and security configurations across on-prem and cloud environments (including Confluent Cloud). • Automate provisioning, deployment, scaling, and maintenance using tools such as Terraform, Chef, Ansible, CloudFormation, Jenkins, and other CI/CD technologies. • Build automated, self-service capabilities for topic creation, schema governance, ACLs, and resource provisioning to streamline engineering workflows. • Use Chef, Ansible, or similar tools to automate system configurations, application deployments, and middleware setups. • Build and maintain CI/CD pipelines integrating Kafka components and infrastructure changes using Jenkins, Git, and other DevOps toolchains. • Perform root-cause analysis, optimize throughput, tune brokers/producers/consumers, and manage high-severity production incidents. • Provide architectural leadership for event-driven solutions, real-time data processing, and streaming ecosystems across cloud and hybrid environments. Skill set requirement: • 10+ years of experience in DevOps, Cloud Engineering, or Platform Engineering roles. • Hands-on expertise with Confluent Kafka (Cloud and On-Prem). • Advanced knowledge of AWS (VPC, IAM, Networking, Security, EKS nice to have). • Strong proficiency in Terraform and Chef. • Strong CI/CD experience with Jenkins, Git, and automated deployment pipelines. • Experience managing and monitoring large-scale distributed systems. • Strong understanding of event-driven architecture, data streaming patterns, and real-time integration. • Excellent communication and leadership skills with the ability to collaborate across teams.