This opportunity allows you to lead engineering at scale, tackling complex technical challenges. You will be responsible for the engineering roadmap across all products, making architectural decisions for distributed data processing, machine learning pipelines, and modern web systems. The focus is on systems that manage large datasets for enterprise clients, requiring an understanding of cutting-edge technology.
In the role, you will implement the engineering roadmap, drive decisions around data processing and web architecture, and ensure systems scale effectively to handle massive datasets and evolving machine learning workloads. You will advocate for best practices in testing, observability, incident response, and documentation, and set standards for AI-assisted development practices at scale. This role requires leading multi-disciplinary teams, including Backend, Web, Data Engineering, Data Science, QA, and DevOps, with a significant emphasis on understanding ML models and the entire ML lifecycle.
The successful candidate should have experience with GenAI tools such as ChatGPT, and be comfortable with models, deployment, and the lifecycle of machine learning processes. The benefits for this position include a salary commensurate with experience, along with additional perks. This role offers a platform to operate at the cutting edge of large-scale distributed systems and the rapidly evolving landscape of search technology. Interested applicants should proceed by applying through the provided link.