Job Description
This role involves designing and leading the development of large-scale data streaming systems and APIs to enable connected operations across industries, leveraging IoT data, AI, and serverless architectures to support innovative solutions for physical operations.
Key Responsibilities
- Architect the data nervous system for physical operations, including the core data pipeline for AI initiatives.
- Own the strategy and architecture for the serverless compute platform to enable complex logic on data streams.
- Lead the technical vision and governance for external APIs to ensure consistency and scalability.
- Mentor senior engineers and drive technical alignment across complex systems.
- Define the multi-year technical roadmap for the developer platform in collaboration with product leadership and enterprise customers.
Requirements
- Proven experience architecting and operating large-scale data streaming systems.
- Experience building and scaling Kafka systems in production environments.
- Strong understanding of data and AI architecture, including connecting Kafka, data lakes, and ML infrastructure.
- Pragmatic expertise in serverless compute, including designing architectures that are powerful for developers and efficient to operate.
- Experience owning public-facing APIs, establishing technical vision and governance to enable an ecosystem of developers.
- Demonstrated ability to align multiple engineering teams around complex technical visions and drive them from concept to customer delivery.
- Technical depth and clarity of thought to elevate the engineering team.
- Ability to define and develop a multi-year technical roadmap for a developer platform in partnership with product leadership and enterprise customers.
Benefits & Perks
Competitive total compensation package
Employee-led remote and flexible working
Health benefits
Flexible working model including remote, hybrid, and in-office options
Ready to Apply?
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