Staff Software Engineer, Kafka

IBM

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Poughkeepsie, NYLowell, MARochester, NYTucson, AZResearch Triangle Park, NCArmonk, NYBoston, MABellevue, WAAtlanta, GASan Jose, CADallas, TXAustin, TXSan Francisco, CASeattle, WA
Posted
2 days ago
Freshness
Confirmed live yesterday

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How this pay compares to similar roles

Similar $206k
$127k $290k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $174,117–$237,262.

Based on 240 similar postings.

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About IBM

IBM is a US-based global technology company providing hybrid cloud, AI, consulting, enterprise software, and IT infrastructure products and services.

IBM currently has 245 open roles on FindRole.

Listed pay typically runs $183,777–$221,730 across 10 roles with salary data.

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At a glance

TL;DR · Staff Software Engineer, Kafka

As a Confluent Staff Software Engineer - Kafka, you will join a team of engineers focused on solving complex distributed storage and query engine problems. You will work on the Tableflow and Lightning Tables project to build next-generation storage and query solutions for Kora, enabling streaming data to be consumed as both a table and a stream. Your daily responsibilities include designing and implementing strategies for table schematization, materialization, and compaction at massive scale. You will also develop components for query planning, execution, and optimization for fast analytical queries. Additionally, you will build multi-tenant, highly available infrastructure for background computational tasks. This role requires expertise in storage engine development, platform engineering, and cross-functional collaboration to ensure high availability and scalability for long-term storage and query serving.

What does a Software Engineer earn in New York?

Median $214000 from 255 postings across 59 companies.

See salary data

What you'll do

  • Design and implement strategies for table schematization, materialization, and compaction at massive scale.
  • Develop components for query planning, execution, and optimization for fast analytical queries.
  • Build and maintain multi-tenant, highly available infrastructure for background computational tasks.
  • Optimize the platform for scalability, reliability, and resilience to meet organizational objectives.
  • Ensure high availability and scalability for background storage tasks and query serving.
  • Integrate storage and query features with the broader organization's infrastructure.

What we're looking for

  • Experience in designing and implementing storage engine strategies for table schematization, materialization, and compaction at massive scale.
  • Experience designing and implementing components for query planning, execution, and optimization for fast analytical queries.
  • Experience building and maintaining multi-tenant, highly available infrastructure for background computational tasks.
  • Ability to ensure platform scalability, reliability, and resilience in alignment with organizational objectives.
  • Ability to collaborate cross-functionally with product management, design, and other engineering teams.

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