Cortex.
>
> Position: Confluent Platform Architect
>
> Location: Remote-USA
>
> Role Summary
>
> We are looking for an experienced Confluent Platform Architect with
> strong expertise in designing, implementing, and operating
> event-driven and real-time streaming architectures across cloud and
> self-hosted environments. The role requires deep hands-on knowledge of
> the Confluent ecosystem, scalability, security, and enterprise-grade
> operations.
>
> -------------------------
>
> Key Skills & Experience
>
> 1. Confluent & Kafka Ecosystem
>
> * Strong hands-on experience with Confluent Kafka and its ecosystem,
> including:
>
> * Kafka Connect
> * ksqlDB
> * Apache Flink
> * Schema Registry
> * Confluent Tableflow
>
> * Experience working with Confluent Cloud services.
>
> 2. Self-Hosted Confluent Platform Architecture
>
> * Experience designing and managing self-hosted Confluent Platform
> architectures.
>
> * Hands-on exposure to:
>
> * Kubernetes-based deployments
> * Manifest YAMLs and GitOps tools (ArgoCD)
> * Platform security (LDAP, mTLS (link removed) SASL)
> * High Availability (HA), scalability, and fault-tolerant setups.
>
> 3. CI/CD & Automation
>
> * Experience with Terraform and GitHub pipelines for CI/CD
> automation.
> * Familiarity with infrastructure-as-code and automated deployment
> strategies.
>
> 4. Programming & Custom Development
>
> * Good working knowledge of Python and Java.
> * Experience building and maintaining custom Kafka connectors or
> extensions is a strong plus.
>
> 5. Solution Design & Architecture
>
> * Proven experience in solution design for event-driven and
> real-time streaming use cases.
>
> * Ability to design systems that are:
>
> * Highly available
> * Scalable
> * Fault-tolerant
> * High-throughput
>
> 6. Observability & Monitoring
>
> * Experience with observability and monitoring stacks, including:
>
> * Splunk and Grafana dashboards
> * Azure Monitor
> * Log Analytics
> * OTEL (Open Telemetry )
> * Prometheus
>
> * Ability to define operational metrics, alerts, and monitoring
> strategies.
>
> 7. Azure Cloud Exposure
>
> * Good exposure to Azure cloud services, including:
>
> * Basic networking concepts
> * Azure Blob Storage
> * Azure Container Registry (ACR)
> * Azure Kubernetes Service (AKS)
>
> -------------------------
>
> Nice to Have
>
> * Experience working in enterprise-scale data platforms
> * Exposure to analytics engines (Snowflake, Databricks, etc.)
> * Strong documentation and stakeholder communication skills
>
> -------------------------
>
> Role Type
>
> * Architecture & hands-on technical leadership
> * Collaboration with platform, ML, and analytics teams