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Confluent

Staff Software Engineer - Apache Kafka

Confluent · Mountain View, California, US
full-timestaff (4-15 yrs)Posted 37d ago
Software EngineeringIC4ICHybrid (3d)
StackApache KafkaJavaDistributed SystemsSystem DesignKafka Improvement Proposals (KIPs)Kafka StreamsKafka ClientsKafka BrokerOpen Source ContributionPerformance EngineeringSoftware ArchitectureTechnical LeadershipMentorshipAI Coding Tools

Summary

Staff-level IC engineering role at Confluent (an IBM subsidiary) focused on contributing to and leading development across the Apache Kafka open-source ecosystem — including Clients, Streams, Broker, and backend services — while driving technical direction, mentoring, and community engagement via KIPs and code contributions.

About the role

We’re not just building better tech. We’re rewriting how data moves and what the world can do with it. With Confluent, data doesn’t sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them.

It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together.

One Confluent. One Team. One Data Streaming Platform.

About the Role:

We are looking for a Staff Software Engineer to work on various features and improvements in the Apache Kafka software. In this role, you will work closely with the Apache community as well as senior engineers on the team to build features, work on Kafka improvements and help review designs.. The features you build will cut across various components in the Kafka software stack including the Clients, Streams, Broker and other backend services. You will contribute to the performance improvements, operational aspects and innovate the stack.

What You Will Do:

As a Staff Software Engineer, you will be a technical leader whose work significantly impacts the product, engineering organization, and customer success.

  • Collaborate with the Apache Kafka community via KIPs, code contributions, reviews, and technical discussions; represent Confluent’s interests while keeping the broader ecosystem in mind.

  • Drive projects that have high complexity requiring technical acumen, a high level of judgement and able to deal with ambiguity.

  • Be a force multiplier and show strong ability to mentor and grow the team with guidance on strong design principles and software architecture.

  • Insist on high standards for the quality of software the team is developing.

  • Communicate with product management and engineering leaders on the roadmap, understand the specs and the product interfaces.

  • Drive operational excellence on reliability improvements, operational events and supportability

  • Demonstrate strong verbal and written communication skills to influence teams/peers beyond immediate span of control.

What You Will Bring:

Experience:

  • Track record of delivering complex systems projects with large scope (multi quarter design and development) leading a team of engineers, setting direction for projects, working with stakeholders, adept at using AI tools for coding and working backwards from the customers.

  • 4+ years driving staff-level or equivalent technical initiatives across multiple teams or components.

Leadership & Influence:

  • Demonstrated ability to lead through ambiguity, set direction, and align multiple teams around complex technical plans.

  • Track record of mentoring senior engineers and enabling others to deliver on high-risk, high-impact projects.

  • Clear, concise technical communication, both written (design docs, KIPs) and verbal (reviews, cross-team forums).

What Gives You an Edge:

  • Prior experience as a committer/PMC or core maintainer on Apache Kafka or a similar project.

Ready to build what's next? Let’s get in motion.

Come As You Are

Belonging isn’t a perk here. It’s the baseline. We work across time zones and backgrounds, knowing the best ideas come from different perspectives. And we make space for everyone to lead, grow, and challenge what’s possible.

We’re proud to be an equal opportunity workplace. Employment decisions are based on job-related criteria, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by law.

Privacy Statement

Confluent is an IBM subsidiary which has been acquired by IBM and will be integrated into the IBM organization. By proceeding with this application, you understand that Confluent will share your personal information with other IBM affiliates involved in your recruitment process, wherever these are located. More Information on how IBM protects your personal information, including the safeguards in case of cross-border data transfer, are available here.

What you'll do

1Collaborate with the Apache Kafka open-source community via KIPs, code contributions, reviews, and technical discussions
2Drive high-complexity projects requiring technical acumen, strong judgment, and comfort with ambiguity
3Serve as a force multiplier by mentoring engineers and guiding strong design principles and software architecture
4Maintain high quality standards across the software development lifecycle
5Communicate with product management and engineering leadership on roadmap and product interfaces
6Drive operational excellence including reliability improvements and supportability
7Demonstrate strong written and verbal communication to influence teams beyond immediate span of control
8Contribute to performance improvements across Kafka Clients, Streams, Broker, and backend services

Requirements

4+ years of staff-level or equivalent technical initiative leadership across multiple teams and system components
Track record delivering large-scope, multi-quarter distributed systems projects with team leadership and stakeholder management
Demonstrated ability to lead through ambiguity, drive technical direction, and align multiple teams on complex plans
Strong mentorship of senior engineers on high-impact, high-risk projects with measurable team outcomes
Clear written and verbal technical communication — including design docs, KIPs, and cross-team technical forums

Nice to have

Apache Kafka Committer
PMC Member
Open Source Maintainer
KIP authorship
Confluent Platform

Role overview

Role family
Software Engineering
Level
IC4 — platform
Experience
4–15 years
Type
Individual Contributor
Remote policy
Hybrid (3 days)
Visa sponsorship
Not offered

Tech stack analysis

LANGUAGES
Java
FRAMEWORKS
Apache KafkaKafka Streams
INFRASTRUCTURE
Kafka BrokerConfluent Platform
TOOLS
AI coding tools (unspecified)

Salary estimate

$220K – $300K
AI-estimated salary range
Confidence78%
Reasoning

Salary not disclosed. Based on Staff Software Engineer seniority at a well-funded data infrastructure company (Confluent) headquartered in Mountain View, CA (high cost-of-living Bay Area market), with deep distributed systems expertise required, comparable roles at Confluent and similar companies (Databricks, Snowflake, etc.) range from ~$220K–$300K+ total compensation (base + bonus + equity). Confluent is now an IBM subsidiary which may compress top-end equity upside slightly. Base salary likely $200K–$240K with equity and bonus bringing TC to this range.

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Green flags

4 items
Apache Kafka-focused role offers rare opportunity to directly influence an industry-defining open-source project via KIPs and community contributionsgrowth

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Benefits breakdown

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Hiring insights

JD quality
6/10
Urgency
medium
Autonomy
high
Team size
medium (5-15)

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Red flags

PRO5 items
No salary or equity range disclosed — limits transparency for candidates evaluating total compensationcompensation

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Interview insights

PRO
Rounds
6
Duration
4 wks
Difficulty
very hard
Take-home
No

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Career path

PRO
Next roles
Principal Software EngineerDistinguished Engineer / FellowEngineering Manager / Director

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About the company

Confluent is the data streaming platform built by the original creators of Apache Kafka. It enables organizations to set up real-time data pipelines and streaming applications. Used by over 4,500 companies including 75% of the Fortune 500, Confluent processes trillions of events daily across cloud and on-premises environments.

HQMountain View, CA, USA
Interview difficultyvery hard
Build vs Maintainboth
Cross-functionalYes