The role involves spearheading the evolution of digital landscapes by designing and operating high-availability Confluent Kafka platforms on AWS
Job Summary
The role involves spearheading the evolution of digital landscapes by designing and operating high-availability Confluent Kafka platforms on AWS.
Candidates will engineer cloud-native workloads using Kubernetes and Infrastructure as Code while ensuring secure and scalable data streaming across domains.
The position requires a strong focus on test-first engineering culture, utilizing tools like JUnit, PACT, and CI/CD pipelines to maintain code quality.
Matching Summary
The role involves spearheading the evolution of digital landscapes by designing and operating high-availability Confluent Kafka platforms on AWS.
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
AWS core services and cloud-native principles
Event-driven architecture and stream processing
Python, Bash, or Go automation scripting
Nice-to-have
AI-assisted engineering practices adoption
Multi-region active-active deployment models
Contract testing with PACT framework
Mutation testing for test effectiveness
Deep expertise in schema evolution strategies
Experience with JMeter performance testing
Key Requirements
Hands-on experience with Confluent Kafka ecosystem components
Proven track record in AWS EKS operational support