Confluent

Director of Engineering II, Kafka Connect

Confluent1 months ago
Location

IN Office Bangalore

Type

Full Time

Level

Director

Role

Engineering Manager

Posted

Feb 2, 2026

Full TimeDirector

The role

Summary

Director of Engineering II role at Confluent leading Kafka Connect teams, responsible for strategic vision and technical innovation in data streaming connectors. Requires 5+ years of second-level engineering management experience with distributed systems and cloud infrastructure expertise.

What you'll do

Team Leadership: Lead a highly productive, global team of software engineers and engineering leaders across multiple time zones
Strategic Vision: Drive the long-term direction and strategy of Confluent Kafka connectors while partnering with internal stakeholders
Technical Innovation: Create competitive advantages for Kafka connectors by driving technical innovation and establishing design principles
Product Enhancement: Drive improvements in Kafka connectors to make them more usable, powerful, and easier to adopt and scale for customers
Cross-functional Collaboration: Work closely with peer engineering leaders to prioritize improvements and high-impact initiatives
Talent Acquisition: Continue strong growth trajectory by hiring top-tier engineers and maintaining high hiring standards
Quality Standards: Establish quality standards, design principles, and operational maturity for the engineering teams
Performance Management: Coach, mentor, and manage performance of engineering team members while maintaining team productivity

What we look for

Technical

Distributed SystemsStrong fundamentals in distributed systems design and development
Cloud InfrastructureExperience with running large stateful data systems in public clouds (AWS/Azure/GCP)
Data StreamingDeep understanding of Apache Kafka and data streaming technologies
System ArchitectureAbility to anticipate future technical needs and craft implementation plans

Education

Bachelor's DegreeBachelor's degree in Computer Science, Engineering, or related technical field preferred
Advanced DegreeMaster's degree in relevant technical discipline is a plus

Experience

Management Experience5+ years of second-level engineering management experience leading productive, high-functioning teams
Production ServicesProven experience running production services in public cloud environments
Delivery Track RecordDemonstrated track record of shipping features and hitting deadlines consistently
Hiring and MentoringExperience recruiting, motivating, coaching, and mentoring engineering talent while maintaining high hiring standards

Skills

Required skills

Engineering Leadership5+ years of second-level engineering management experience with global teams
Distributed SystemsStrong fundamentals in distributed systems design and development
Cloud InfrastructureExperience running large stateful data systems in public clouds
Performance ManagementAbility to recruit, motivate, coach, and mentor engineering talent
Strategic PlanningSense of urgency and excellent prioritization skills for achieving results

Nice to have

Apache KafkaDeep experience with Kafka Connect framework and ecosystem
Data IntegrationExperience with data connectors and integration patterns
Stream ProcessingKnowledge of real-time data processing and analytics
Influence and CommunicationAbility to influence teams, peers, and upper management through effective communication

Compensation & benefits

Benefits

Equal Opportunity

Equal opportunity workplace with employment decisions based on job-related criteria

Inclusive Culture

Culture of belonging and collaboration across time zones and backgrounds

Professional Growth

Opportunities to lead, grow, and challenge what's possible in data streaming technology


Interview process

  1. 1
    Initial Screening Phone or video screening with recruiter to discuss background and role alignment
  2. 2
    Hiring Manager Interview Technical and leadership discussion with hiring manager covering management philosophy and technical depth
  3. 3
    Technical Leadership Panel Panel interview with senior engineering leaders focusing on system design and technical strategy
  4. 4
    Behavioral Interview Leadership scenarios and team management situations with cross-functional stakeholders
  5. 5
    Executive Interview Final interview with senior leadership to discuss strategic vision and cultural fit
  6. 6
    Reference Checks Professional references validation and background verification process

Apply for this position

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Confluent

Confluent

View all jobs

Confluent is an American data streaming platform company based on Apache Kafka.

Mountain View, California, United StatesFounded 2014confluent.io

Tech Stack

Languages
JavaScalaPython
Frameworks
Apache KafkaKafka ConnectSpring Boot
Databases
Apache KafkaElasticsearchHadoop
Tools
KubernetesDockerAWS/Azure/GCPConfluent Cloud
Other
Stream ProcessingData IntegrationMicroservices Architecture

Interview Guides

14 guides available for Confluent

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