The role involves designing and operating production-grade Confluent Kafka platforms ensuring high availability and secure data streaming across domains
Job Summary
The role involves designing and operating production-grade Confluent Kafka platforms ensuring high availability and secure data streaming across domains.
Candidates must engineer cloud-native workloads on Amazon EKS while applying deep knowledge of Kubernetes primitives and container security practices.
The position requires strong hands-on coding capability with a focus on clean code, testability, and delivering software using Agile methodologies.
Matching Summary
The role involves designing and operating production-grade Confluent Kafka platforms ensuring high availability and secure data streaming across domains.
Skills & Requirements
Must-have
Confluent Kafka platform design and operation
Amazon EKS cluster configuration and management
Kubernetes primitives and stateful patterns
Infrastructure as Code with Terraform and CloudFormation
AWS core services including EC2 VPC IAM S3
Event-driven architecture and stream processing concepts
Python Bash or Go for automation tooling
Nice-to-have
AI-assisted engineering practices adoption
Multi-region active-active deployment models
Contract testing using PACT framework
Mutation testing for test effectiveness validation
Experience with JMeter for performance load testing
Strong verbal and written communication skills
Collaboration in Agile Scrum delivery models
Key Requirements
Hands-on experience with Confluent Kafka ecosystem components
Deep working knowledge of Kubernetes StatefulSets and operators
Proven expertise in building Infrastructure as Code solutions
Strong understanding of AWS core services and cloud-native principles
Experience deploying containerized applications using Docker and ECR
Ability to develop automation tooling using Python Bash or Go
Familiarity with CI/CD pipelines and DevSecOps practices