Kafka Architect 19743-1

Keylent, Inc.

$120K — $150K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in Kafka and AWS architecture
  • Proficient in Java programming language
  • Deep knowledge of Kafka internals including capacity planning and performance optimization
  • Experience with Kubernetes and Confluent Operator
  • Familiarity with data serialization formats like XML, JSON, Avro, and CSV

Responsibilities

  • Install and manage multi-node Kafka clusters
  • Plan and design cloud applications on AWS
  • Develop and architect software solutions in Linux or Unix environments
  • Implement data ingestion and streaming solutions
  • Integrate security measures into the overall architecture

Benefits

  • Remote work flexibility until further notice
  • Standard working hours (9 AM to 7 PM EST) from Monday to Friday
  • Opportunity to work with a renowned client (Toyota)
  • Access to modern technologies and tools
  • Potential for professional growth in cloud-native applications
Full Job Description
19743-1
Role: Kafka Architect
Location: Dallas, TX (remote till current situation)
Client: Toyota
Hours: 9.00 AM to 7.00 PM EST (Monday to Friday)


Required skillset:
1.KAFKA
2.Amazon Web Services
3. Java

Job Summary:
Java -Confluence Amazon Web Services Kafka • Experience in Confluent Kafka Capacity planning, installation, administration/Platform management and deep knowledge of Kafka internals. • Experience in Confluent Kafka Cluster, Security, Disaster recovery, Data pipeline, Data replication, Performance optimization. • Experience of Kubernetes and Confluent Operator. • Strong familiarity of wire formats such as XML, JSON, Avro, CSV, etc. along with serialization/deserialization options • Experience
. Roles & Responsibilities
• Experience in installation / upgrade / management of multi node clusters.
• Prior experience planning, designing, developing, architecting, and deploying cloud applications on AWS platforms
• Strong experience in implementing software solutions in enterprise Linux or Unix environments.
• Experience in Data Ingestion and Streaming tools. • Hands-on working knowledge on cloud native data components.
• Experience with integrating various security solutions such as LDAP, Kerberos, CyberArk system / installation management tools into the overall solution.
• Experience in Data

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