Overview
Skills
Job Details
Eligibility Requirement:
Applicants who do not meet these criteria will not be considered.
Job Description:
Top 3 Must-Haves (Hard and/or Soft Skills):
1. Kafka & Confluent Cloud Expertise
Deep understanding of Kafka architecture and Confluent Cloud services.
Experience with Kafka Connect, Schema Registry, and stream processing.
2. AWS Infrastructure & Database Management
Hands-on experience with AWS services like RDS, Aurora, EC2, IAM, and networking.
Ability to integrate Kafka with AWS-hosted databases and troubleshoot cloud-native issues.
3. Terraform & Infrastructure Automation
Proficiency in Terraform for provisioning Kafka clusters, AWS resources, and managing infrastructure as code.
Familiarity with GitOps workflows and CI/CD pipelines.
Top 3 Nice-To-Haves (Hard and/or Soft Skills)
Degree Requirements (Experience in Lieu of Degree): 1. Monitoring & Observability
Experience with tools like Prometheus, Grafana, Datadog, or Confluent Metrics API.
Ability to set up alerting and dashboards for Kafka and cloud services.
2. Security & Governance
Knowledge of RBAC, encryption, and audit logging in Confluent Cloud and AWS.
Experience implementing secure data pipelines and compliance controls.
3. Strong Collaboration & Incident Response
Ability to work cross-functionally with data engineers, SREs, and developers.
Skilled in communicating during outages, postmortems, and planning sessions.
Certification Requirements (Any Preferences):
1. Confluent Certified Developer for Apache Kafka
Validates deep understanding of Kafka architecture, APIs, and Confluent tooling.
Ideal for engineers building and managing Kafka-based data pipelines.
2. AWS Certified Solutions Architect Associate
Demonstrates strong knowledge of AWS services, networking, and architecture best practices.
Especially useful for integrating Kafka with AWS-hosted databases and services.
3. HashiCorp Certified: Terraform Associate
Confirms proficiency in infrastructure as code, Terraform modules, and cloud provisioning.
Valuable for managing Kafka infrastructure and AWS resources declaratively.