At the top of the resume, please include the candidate\'s current location. If the candidate is not local, clearly state whether they are willing to relocate and work onsite five days a week. Applications missing this information will be rejected.
Role Description & Required/Preferred Skills:
• Experience in monitoring and troubleshooting large-scale data platforms, data streaming pipelines, and complex backend services
• Able to effectively communicate incidents, coordinate incident responses, document/manage runbooks, and set up processes to support other software engineering teams and data analysts
• Experience in managing large datasets
• Experience in creating Kubernetes configurations, managing services in Kubernetes, and building Docker images
• Demonstrate good understanding and troubleshooting Kafka jobs
• Kafka platform design, installation, operation, and best practices for Brokers, Zookeepers, Kafka Connect/Connectors, Security Settings, JMX for Kafka monitoring, and performance tuning
• Setting up new Kafka clusters and onboarding Kafka APIs
• Topic management (creating, deleting, enabling, disabling, monitoring)
• Upgrade, installation, patching, and deployment for Kafka
• Experience in developing/maintaining automation tools in programming/scripting languages like Python
• Demonstrate good understanding of big data ecosystems such as HDFS, Kafka, SQL, etc.
• Experience in using IT automation tools such as AlgoCD and job orchestrator systems such as AirFlow, Jenkins
• Experience in cloud-based environments (AWS/GCP, etc.) is a big plus
• Experience in monitoring tools such as Splunk, Prometheus/Grafana is a big plus
• Experience with full-stack web development (React, Django, etc.) is a big plus
• Support large-scale data pipelines and backend services by monitoring and troubleshooting/recovering incidents
• Deploy and support Kafka clusters
• Build and operate data management infrastructure services
• Automate build, deployment, and monitoring
• Participate in on-call and release turns
• Take on-call turns, including weekend coverage. Skills : Kubernetes Configurations, Managing Services In Kubernetes, And Building Docker Images, Brokers, Zookeepers, Kafka Connect/Connectors, Security Settings, JMX For Kafka, HDFS, Kafka, SQL, Etc..
Contract