Sr. Developer (Java with Kafka)

Keylent, Inc.

$100K — $130K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in distributed systems design and implementation
  • Proficient in log-based data infrastructure development
  • Hands-on expertise in managing on-premise Kafka platforms
  • Experience handling high volumes of streaming messages
  • Knowledge of Elastic Stack (Elasticsearch, Logstash, Kibana) or similar platforms
  • Understanding of non-functional requirements (NFRs) in Kafka implementations

Responsibilities

  • Design and build distributed and observable systems
  • Develop and manage on-premise Kafka configurations and operations
  • Monitor performance and security of Kafka broker clusters
  • Ensure data integrity and guaranteed delivery in message processing
  • Implement logging solutions using Elastic Stack or equivalent

Benefits

  • Opportunities for remote work
  • Flexible hours
  • Access to continuing education and professional development
  • Supportive team environment
  • Potential for career advancement within the company
Full Job Description
Visa status: U.S. Citizens and those authorized to work in the U.S. are encouraged to apply.
Tax Terms: W2, 1099
Corp-Corp or 3rd Parties: Yes

Must Have Skills:
• Designed and built distributed and observable systems
• Familiar with designing log based data infrastructure
• Hands on experience in standing up and administrating on-premise Kafka platform which includes creating a backup & mirroring of Kafka Cluster brokers, broker sizing, topic sizing, h/w sizing, performance monitoring, broker security, topic security, consumer/producer access management
• Experience in handling huge volumes of streaming messages from Kafka or any other robust message broker.
• Implementation & working knowledge of Elastic search, log stash & Kibana or similar logging platform
• Some of the identified NFRs and constraints/implementation experience in Kafka for:
• Guaranteed delivery - at-once and exactly once
• Guaranteed Persistence
• Low latency
Good to Have Skills:
• Exposure and understanding of best practices in stream management & processing
• Knowledge of Kafka Streaming API's
• Exposure and Knowledge of managing streaming platform on cloud provider or on premise platform.

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