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About the Role
Design, build, operate, and improve enterprise Kafka and event-streaming platforms across AWS and Kubernetes, including Amazon EKS. This role requires strong hands-on Kafka administration, integration development, cloud-native operations, and production support experience. You will collaborate with various teams to deliver reliable event-driven solutions, resolve complex issues, automate tasks, and support platform lifecycle and governance.
Responsibilities
- Administer and support Kafka platforms, including brokers, topics, partitions, replication, consumer groups, Kafka Connect, Schema Registry, and related services.
- Design and develop Kafka producers, consumers, stream-processing components, and reusable integration patterns using Java, Spring Boot, Python, or similar technologies.
- Deploy, operate, and improve Kafka and supporting components on Kubernetes and Amazon EKS using Helm, CI/CD, GitOps, and approved cloud-native patterns.
- Manage platform reliability, resilience, capacity, performance, patching, upgrades, backup, recovery, and lifecycle activities across production and non-production environments.
- Troubleshoot complex issues across applications, brokers, connectors, schemas, networking, storage, certificates, and cloud infrastructure.
- Implement monitoring, alerting, and dashboards for broker health, throughput, latency, replication, disk usage, consumer lag, and connector health.
- Apply security and governance controls, including TLS, authentication, authorization, ACLs, secrets, certificates, least-privilege access, and vulnerability remediation.
- Support incidents, problems, changes, and releases, including root-cause analysis, runbook improvement, and automation of recurring operational tasks.
- Guide application teams on topic design, partitioning, message contracts, schema evolution, retries, dead-letter handling, idempotency, and supportability.
- Maintain architecture, configuration, operational, recovery, and support documentation.
- Act as the senior technical point of contact for Kafka platform design, engineering, and operational matters.
- Mentor engineers, review technical work, and promote consistent engineering and operational standards.
- Lead planning for upgrades, migrations, resilience improvements, and platform modernization.
- Communicate risks, dependencies, options, and recommendations clearly to technical and business stakeholders.
Requirements
- Strong hands-on experience administering Apache Kafka or Confluent Platform in complex enterprise environments.
- Solid understanding of Kafka brokers, topics, partitions, replication, consumer groups, Kafka Connect, Schema Registry, and MirrorMaker.
- Experience developing Kafka producers, consumers, and integration services using Java, Spring Boot, Python, or equivalent technologies.
- Hands-on experience with Kubernetes and Amazon EKS, including Docker, Helm, storage, networking, ingress, secrets, and identity integration.
- Working knowledge of AWS services such as EKS, EC2, S3, IAM, CloudWatch, Route 53, and core networking services.
- Experience with CI/CD, GitOps, and Infrastructure as Code tools such as Jenkins, Argo CD, Terraform, or CloudFormation.
- Strong Linux, networking, TLS, DNS, certificate, and distributed-systems troubleshooting capability.
- Experience with observability tools such as Prometheus, Grafana, CloudWatch, Dynatrace, Splunk, or equivalent.
- Experience managing large-scale enterprise or government technology environments.
- Experience with hybrid cloud, platform modernization, and operational transformation programs.
Skills
- Kafka
- Confluent Platform
- Kubernetes
- Amazon EKS
- AWS
- Java
- Spring Boot
- Python
- Docker
- Helm
- CI/CD
- GitOps
- Infrastructure as Code
- Jenkins
- Argo CD
- Terraform
- CloudFormation
- Linux
- Networking
- TLS
- DNS
- Certificates
- Distributed Systems
- Prometheus
- Grafana
- CloudWatch
- Dynatrace
- Splunk
- Schema Registry
- MirrorMaker
Location
- AWS
- Kubernetes
- Amazon EKS
Work Type
- Full-time
Experience Level
- Senior
- 5+ years
Education Level
- Degree in Information Technology, Engineering, Computer Science, or related discipline.
- AWS, Azure, ITIL, Kubernetes, Database, or relevant technology certifications.