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The leader in this role will own the long-term technology vision and guide the platform's architectural shift, build data-driven systems.
They will oversee the modernization of the platform's architecture while ensuring security, scalability, and reliability across all systems.
A key part of this role involves scaling engineering teams across multiple functions and building a culture focused on high ownership and consistent delivery.
The ideal candidate brings 14+ years of experience building and scaling complex consumer technology platforms.
They have a proven record of shipping datadriven and MLpowered features, along with deep backend and systems design expertise.
They have led major architectural shifts in production environments, built large engineering organizations, and delivered reliably in fastmoving, highstakes conditions.
Michael Page has five decades of expertise in professional services recruitment. We were established in London in 1976, and over this period we've grown organically to become one of the best-known and most respected consultancies, with an office network spanning six continents.
While size has its advantages, it doesn't define us - the nature of our organic growth means that each new office is integrated into the region that it serves. It also means that as an employer looking to hire, or as a candidate aiming to grow your career you have the best of both worlds; a team that understands the market and geography you operate in, plus the resources and expertise of an international network at your disposal.
Job ID: 143863457
Skills:
stream processing , Solid Principles, Storage Systems, Kafka, Design Patterns, time-series stores, event-driven architectures, caching layers, multi-tenant SaaS platforms, Flink, columnar analytics engines, real-time data-intensive systems, data stores, Relational Databases, clean architecture, data isolation, geo-distributed deployments, compliance requirements, AI-driven tools and workflows
Skills:
Data Analytics, Design, Development, Large Scale Backend Systems, Applied ML, Gen AI, architecture, Platform Engineering
Skills:
Security Testing, Incident Management, System Design, Coding Standards, Software Quality Assurance, Reliability, operational best practices, software applications development, engineering processes, internet-related tools, software systems development, observability
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