Director of Cloud-Scale Data Systems & Kafka Platform

International Business Machines Corporation; Tucson (AZ); Presencial; USD 180 000 - 240 000; Tempo integral

Resumo da oferta

IBM Software in the United States seeks an engineering leader to steer Confluent Kafka platform, lead a global team of engineers, and drive long-term strategy and innovation. You will partner with stakeholders to prioritize initiatives, hire top talent, and raise operational maturity to scale cloud-native data systems.

You'll shape architecture, ownership of core platform features, and maintain a culture of collaboration, delivery excellence, and rapid iteration.

Qualificações

• 3+ years of second-level engineering management experience leading productive, high-functioning teams.
• Experience with running large stateful data systems in the cloud.
• Strong fundamentals in distributed systems design and development.
• A track record of shipping features and meeting deadlines.
• Sense of urgency and prioritization skills.

Responsabilidades

• Lead a highly productive, global team of software engineers and engineering leaders.
• Drive the long-term direction and strategy of Confluent and Kafka with internal stakeholders.
• Create competitive advantages for Confluent and Kafka through technical innovation.
• Prioritize improvements across culture, design principles, and operational maturity.
• Continue growth by hiring top-tier engineers and establishing quality standards.

Conhecimentos

Engineering Leadership

Distributed Systems

Cloud Data Systems

Hiring & Mentoring

Strategic Vision

Descrição da oferta de emprego

IBM Software in the United States seeks an engineering leader to steer Confluent Kafka platform, lead a global team of engineers, and drive long-term strategy and innovation. You will partner with stakeholders to prioritize initiatives, hire top talent, and raise operational maturity to scale cloud-native data systems.

You'll shape architecture, ownership of core platform features, and maintain a culture of collaboration, delivery excellence, and rapid iteration.