This role presents a unique opportunity to lead engineering teams while tackling complex technical challenges at scale. As the Head of Engineering, you will be responsible for the engineering roadmap across all products, focusing on architectural decisions related to distributed data processing, ML pipelines, and web systems designed for enterprise clients. The position requires ensuring systems can scale to process massive datasets and adapting to evolving machine learning workloads. Additionally, you will champion best practices in areas such as testing, observability, incident response, documentation, and AI-assisted development practices.
The client has earned recognition for its cutting-edge work at the intersection of large-scale distributed systems, machine learning, and search technology. As part of this role, you will lead interdisciplinary teams spanning Backend, Web, Data Engineering, Data Science, QA, and DevOps. A significant aspect of the role includes understanding how machine learning models are delivered, deployed, and maintained in production environments. Familiarity with the machine learning lifecycle, feature stores, model deployment platforms, and pipeline orchestration is essential, along with experience working with state-of-the-art GenAI tools.
The position offers a competitive salary based on experience, in addition to some excellent benefits. While the specific location or remote work expectations are not detailed, candidates are encouraged to reach out with their CV through the designated application process. This is an exceptional opportunity for those with expertise in leading technical teams and advancing engineering practices in a rapidly evolving field.