Engineering Manager, Connect

Confluent Confluent · Data AI · India · Remote · Engineering

Engineering Manager for Confluent's Connect organization, leading a team of 6-10 engineers responsible for building and operating connectors that integrate with major cloud providers and data systems. The role involves driving execution, roadmap planning, improving reliability and scalability, and exploring AI-assisted engineering practices to enhance developer productivity.

What you'd actually do

  1. Own execution for the Connect engineering team and deliver high quality connectors and platform improvements
  2. Lead, coach and grow a team of 6 to 10 engineers while building a culture of ownership and continuous improvement
  3. Work closely with product management and senior engineering leaders to contribute to roadmap planning and technical direction
  4. Drive improvements in connector reliability, performance and operational excellence across cloud environments
  5. Stay close to system design and architecture and step in hands on when needed to guide or unblock the team

Skills

Required

  • software engineering
  • engineering management
  • tech leadership
  • distributed systems
  • data platforms
  • integration systems
  • production systems
  • cloud platforms
  • cross functional teams
  • hiring
  • mentoring
  • execution skills
  • prioritization
  • AI assisted workflows

Nice to have

  • Apache Kafka
  • Confluent connectors
  • Kubernetes
  • cloud native systems
  • Java
  • JVM based technologies
  • stream processing
  • Kafka Streams
  • Flink
  • open source projects

What the JD emphasized

  • 10+ years of experience in software engineering, with at least 3 years in an engineering management or tech leadership role
  • Strong foundation in distributed systems, data platforms or integration systems such as pipelines, messaging systems or connectors
  • Experience delivering and operating production systems, along with exposure to managing multiple parallel workstreams
  • Ability to work effectively with cross functional teams and influence outcomes through collaboration
  • Experience hiring, mentoring and growing engineers at different levels
  • Strong execution skills with the ability to prioritize, make tradeoffs and deliver iteratively
  • Interest in improving engineering productivity, including the use of modern tooling such as AI assisted workflows